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  Subjects -> ENGINEERING (Total: 1955 journals)
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ENGINEERING (1111 journals)            First | 3 4 5 6 7 8 9 10 | Last

Journal of ASTM International     Full-text available via subscription   (Followers: 3)
Journal of Aviation Technology and Engineering     Open Access   (Followers: 6)
Journal of Biological Dynamics     Open Access   (Followers: 1)
Journal of Biomedical Science     Open Access   (Followers: 2)
Journal of Biomolecular NMR     Hybrid Journal   (Followers: 4)
Journal of Biosciences     Open Access  
Journal of Catalysis     Hybrid Journal   (Followers: 6)
Journal of Central South University     Hybrid Journal  
Journal of China Universities of Posts and Telecommunications     Full-text available via subscription   (Followers: 2)
Journal of China University of Mining and Technology     Full-text available via subscription  
Journal of Cleaner Production     Hybrid Journal   (Followers: 11)
Journal of Coal Science and Engineering (China)     Hybrid Journal  
Journal of Cold Regions Engineering     Full-text available via subscription   (Followers: 3)
Journal of Combinatorial Designs     Hybrid Journal   (Followers: 2)
Journal of Combustion     Open Access   (Followers: 6)
Journal of Communications     Open Access   (Followers: 17)
Journal of Complex Systems     Open Access  
Journal of Computational and Nonlinear Dynamics     Full-text available via subscription   (Followers: 4)
Journal of Computational and Theoretical Nanoscience     Full-text available via subscription   (Followers: 1)
Journal of Computational Biology     Hybrid Journal   (Followers: 6)
Journal of Computational Electronics     Hybrid Journal   (Followers: 1)
Journal of Computational Engineering     Open Access  
Journal of Computing and Information Science in Engineering     Full-text available via subscription   (Followers: 2)
Journal of Dairy Science     Hybrid Journal   (Followers: 14)
Journal of Display Technology     Hybrid Journal   (Followers: 2)
Journal of Dynamic Systems, Measurement, and Control     Full-text available via subscription   (Followers: 7)
Journal of Dynamical and Control Systems     Hybrid Journal   (Followers: 3)
Journal of Earthquake Engineering     Hybrid Journal   (Followers: 6)
Journal of Elasticity     Hybrid Journal   (Followers: 2)
Journal of Electroceramics     Hybrid Journal  
Journal of Electromagnetic Waves and Applications     Hybrid Journal   (Followers: 2)
Journal of Electronic Imaging     Partially Free   (Followers: 2)
Journal of Electronic Testing     Hybrid Journal   (Followers: 1)
Journal of Electronics Cooling and Thermal Control     Open Access   (Followers: 1)
Journal of Electrostatics     Hybrid Journal  
Journal of Energy Engineering     Full-text available via subscription   (Followers: 7)
Journal of Energy Resources Technology     Full-text available via subscription   (Followers: 5)
Journal of Engineering     Open Access  
Journal of Engineering and Computer Innovations     Open Access  
Journal of Engineering and Technology     Open Access   (Followers: 5)
Journal of Engineering and Technology Research     Open Access  
Journal of Engineering Design     Hybrid Journal   (Followers: 13)
Journal of Engineering Education     Hybrid Journal  
Journal of Engineering Entrepreneurship, The     Full-text available via subscription   (Followers: 3)
Journal of Engineering for Gas Turbines and Power     Full-text available via subscription   (Followers: 9)
Journal of Engineering Mathematics     Hybrid Journal  
Journal of Engineering Mechanics     Full-text available via subscription   (Followers: 12)
Journal of Engineering Physics and Thermophysics     Hybrid Journal  
Journal of Engineering Thermophysics     Hybrid Journal  
Journal of Engineering, Computers and Applied Sciences     Open Access  
Journal of Engineering, Design and Technology     Hybrid Journal   (Followers: 13)
Journal of Environmental & Engineering Geophysics     Full-text available via subscription  
Journal of Environmental Engineering     Full-text available via subscription   (Followers: 26)
Journal of Environmental Engineering and Landscape Management     Hybrid Journal   (Followers: 7)
Journal of Experimental Nanoscience     Hybrid Journal   (Followers: 3)
Journal of Fire Sciences     Hybrid Journal   (Followers: 1)
Journal of Flood Risk Management     Hybrid Journal   (Followers: 7)
Journal of Fluids Engineering     Full-text available via subscription   (Followers: 12)
Journal of Fourier Analysis and Applications     Hybrid Journal  
Journal of Fuel Cell Science and Technology     Full-text available via subscription   (Followers: 2)
Journal of Functional Analysis     Full-text available via subscription   (Followers: 1)
Journal of Fundamental and Applied Sciences     Open Access  
Journal of Geological Research     Open Access   (Followers: 1)
Journal of Geotechnical and Geoenvironmental Engineering     Full-text available via subscription   (Followers: 15)
Journal of Global Optimization     Hybrid Journal   (Followers: 4)
Journal of Guidance, Control, and Dynamics     Full-text available via subscription   (Followers: 54)
Journal of Healthcare Engineering     Full-text available via subscription   (Followers: 2)
Journal of Heat Transfer     Full-text available via subscription   (Followers: 24)
Journal of Humanitarian Engineering     Open Access   (Followers: 1)
Journal of Hydraulic Engineering     Full-text available via subscription   (Followers: 14)
Journal of Hyperspectral Remote Sensing     Open Access   (Followers: 1)
Journal of Imaging Science and Technology     Full-text available via subscription  
Journal of Industrial and Production Engineering     Hybrid Journal   (Followers: 2)
Journal of Industrial Engineering and Management     Open Access   (Followers: 4)
Journal of Inequalities and Applications     Open Access  
Journal of Infrared, Millimeter and Terahertz Waves     Hybrid Journal   (Followers: 1)
Journal of Integrated Design and Process Science     Hybrid Journal   (Followers: 1)
Journal of Intelligent and Fuzzy Systems     Hybrid Journal   (Followers: 9)
Journal of Inverse and Ill-posed Problems     Full-text available via subscription   (Followers: 1)
Journal of Irrigation and Drainage Engineering     Full-text available via subscription   (Followers: 10)
Journal of K-Theory     Full-text available via subscription  
Journal of King Saud University - Engineering Sciences     Open Access  
Journal of Konbin     Open Access  
Journal of Liquid Chromatography & Related Technologies     Hybrid Journal   (Followers: 9)
Journal of Management in Engineering     Full-text available via subscription   (Followers: 10)
Journal of Manufacturing Science and Engineering     Full-text available via subscription   (Followers: 11)
Journal of Manufacturing Systems     Full-text available via subscription   (Followers: 7)
Journal of Manufacturing Technology Management     Hybrid Journal   (Followers: 5)
Journal of Mathematical Modelling and Algorithms     Hybrid Journal   (Followers: 2)
Journal of Metallurgy     Open Access   (Followers: 2)
Journal of Middle European Construction and Design of Cars     Open Access   (Followers: 1)
Journal of Molecular Catalysis B: Enzymatic     Hybrid Journal  
Journal of Motor Behavior     Hybrid Journal   (Followers: 6)
Journal of Multivariate Analysis     Hybrid Journal   (Followers: 4)
Journal of Nanoengineering and Nanomanufacturing     Full-text available via subscription   (Followers: 1)
Journal of Nanoparticle Research     Hybrid Journal   (Followers: 3)
Journal of Nanoscience     Open Access  
Journal of Nanoscience and Nanotechnology     Full-text available via subscription   (Followers: 11)
Journal of NanoScience, NanoEngineering & Applications     Full-text available via subscription  
Journal of Nanotechnology     Open Access   (Followers: 2)

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Journal Cover Journal of Quality in Maintenance Engineering
   Journal TOC RSS feeds Export to Zotero [5 followers]  Follow    
   Hybrid Journal Hybrid journal (It can contain Open Access articles)
     ISSN (Print) 1355-2511
     Published by Emerald Homepage  [308 journals]   [SJR: 0.443]   [H-I: 27]
  • Component based life cycle costing in replacement decisions
    • Authors: Javad Seif et al
      Abstract: Journal of Quality in Maintenance Engineering, Volume 20, Issue 4, September 2014. Purpose The main purpose of this paper is to assess life cycle costing (LCC) of the equipment in a more realistic, precise, and applicable manner, and to apply it to a real industrial problem. Design/methodology/approach Based on the failure rates of the components of a machine, the LCC is assessed, mathematically modelled, and incorporated to the parallel machine replacement problem (PMRP) with capacity expansion consideration. The problem is modelled as mixed integer programming (MIP) which intends to minimize the total costs incurred during a planning horizon of several periods for the machines of the same type with different ages. The decision variables are the number of machines to be purchased/salvaged in each period. A genetic algorithm (GA) is developed for solving the problem and its efficiency is verified. Findings In conventional models presented for calculation of LCC, corrective maintenance costs of the machines are incorporated to the model as a whole which may result in inaccurate calculations. Obtaining this value is also very difficult and it can be different for machines with different ages. By calculating the corrective maintenance costs of a machine based on the failure rates of its components, the LCC can be properly estimated in a realistic and precise manner. The presented GA is also proven to be efficient for solving problems of almost any size with different number of machines, components, and planning periods. Practical implications The presented model and GA are applied to a real case of a construction company that needs to determine a purchase/salvage schedule for its loaders in the next 10 years. Results of the calculated schedule imply that employing new loaders rather than maintaining the aged ones generally results in the minimum LCC. Originality/value This paper presents a novel approach for precise, meaningful and practical LCC calculation. The mathematical model and its solving method can be utilized by both the manufacturers and buyers of equipment as a tool which determines a parallel machine purchase/salvage schedule for a planning horizon of several periods which incurs minimum overall cost. The presented material can be also applied to other industrial problems and cases.
      PubDate: Tue, 23 Sep 2014 02:18:24 GMT
       
  • A Blueprint paradox: Successful but unintended cross-national translation
           of Total Productive Maintenance
    • Authors: Monica Rolfsen et al
      Abstract: Journal of Quality in Maintenance Engineering, Volume 20, Issue 4, September 2014. Purpose The article aims to investigate if a manufacturing concept such as Total Productive Maintenance (TPM) can be copied from one location to another. Design/methodology/approach Qualitative data were gathered from a single case. This includes interviews, participatory observation and document collection. Findings We present a company with an intention to make a pure copy from one location to another, and with identical technology, production equipment, owners, customers and products, the conditions for copying should thus be as sufficient as possible. However, several minor adjustments led to a translated version showing better results than the original. Research limitations/implications The paper provides a deep understanding of a unique case, but should be supplemented with more data in order to reach general conclusions. The main theoretical contribution is to develop an understanding of translation processes different from copying concepts by expanding models of change and transfer from a purely planned perspective to explaining success through the unplanned change of organizational vehicles better fit to the intended tools and techniques. Practical implications Many companies struggle with implementing total productive maintenance, and implementation and translation aspects are lacking in the literature. The paper provides an understanding on how TPM-practice was changed and adjusted when traveling from one location to another within the same company. Originality/value Few case studies on TPM and implementation have been described. We show in detail how minor adjustments led to wider changes, arguing that a pure copy is not possible. By including institutional theory focusing on translation, new insight on implementation of TPM is provided.
      PubDate: Tue, 23 Sep 2014 02:18:24 GMT
       
  • Effectiveness of TPM implementation with and without integration with TQM
           in Indian manufacturing industries
    • Authors: Kanwarpreet Singh et al
      Abstract: Journal of Quality in Maintenance Engineering, Volume 20, Issue 4, September 2014. Purpose The purpose of this paper is to evaluate and extract various significant factors influencing the implementation of TQM and TPM on business performance for the following approaches: TPM alone; both TQM - TPM combined for improving manufacturing performance in Indian Manufacturing Industry. Design/methodology/approach In this study, 94 manufacturing organizations have been extensively surveyed, to ascertain the contributions made by TQM and TPM initiatives in the Indian manufacturing industries towards realizing manufacturing performance improvements. The correlations between various TQM and TPM implementation issues and manufacturing performance improvements have been evaluated and validated by employing various statistical tools. Findings This paper illustrates how the synergistic relationship of TQM and TPM Paradigms can be helpful for Indian Manufacturing Industries to have overall business performance. The major objectives of this research is to examine, the effectiveness of performance parameters (dependent variables) and factors of implementation (independent variables) of companies implementing TPM alone and TQM- TPM combined approach to improve their business performance and how the support of TQM provides a synergetic effect on TPM’s contribution in improving better business performance. Originality/value Total Quality Management (TQM) and Total productive Maintenance (TPM), are such popular initiatives employed by the manufacturing organizations as Organizational Performance Improvement Techniques. These programs are employed world over for attaining customer satisfaction, reliability, productivity, market share, profitability and even survival. The study stresses upon the need for improving the coordination between manufacturing parameters and other organizational quality improvement initiatives through transfusion of TQM and TPM and to examine the impact of experience in terms of time period on effectiveness of performance parameters when TQM is supported by TPM for Indian manufacturing companies.
      PubDate: Tue, 23 Sep 2014 02:17:43 GMT
       
  • Continuous improvement of maintenance process for the cement industry
           – a case study
    • Authors: Hani Shafeek et al
      Abstract: Journal of Quality in Maintenance Engineering, Volume 20, Issue 4, September 2014. Purpose The purpose of this paper is to describe the most important areas of maintenance management system for heavy industries for helping maintenance mangers to focus on measuring the effectiveness of maintenance system. This work aimed at inferring relationships between maintenance management, maintenance practices and maintenance improvement. Design/methodology/approach In relation to maintenance management, as a case study approach, it can be applied to continuous improvement maintenance systems through fifteen maintenance process areas. Findings The general picture evidences some criticalities, such as those areas which help in the success of maintenance management and areas which lead to the failure of maintenance management. It was found that by using the maintenance management system in the cement industry, it was possible to measure and improve about 15% maintenance performance which can be achieved by enhancing maintenance in the suggested areas. Practical implications Continuous Maintenance Improvement (CMI) is an ongoing effort to improve maintenance aimed at maintenance process simplification and reduction or elimination of maintenance process waste. To support CMI, maintenance engineers continually examine maintenance processes to discover and eliminate problems. Originality/value Other researchers have reported on the maintenance management system, but most of them have focused on limited areas. The lack of useful and practical research has been determined. It seems that the scientific knowledge of maintenance management still needs more effort. This study is one of the first in-depth studies into actual condition-based maintenance practice to test fifteen maintenance process areas.
      PubDate: Tue, 23 Sep 2014 02:16:41 GMT
       
  • Exploring the performance effects of performance measurement system use in
           maintenance process
    • Authors: Jaakko Tätilä et al
      Abstract: Journal of Quality in Maintenance Engineering, Volume 20, Issue 4, September 2014. Purpose The intended function of performance measurement is to support the effective management of an organisation and the improvement of organisational performance. However, how performance measurement should be used operationally to support the achievement of improved performance is not self-evident. The purpose of this paper is to examine the operational use of performance measurement in practice and to describe how different use practices contribute to improved performance. Design/methodology/approach We conducted an exploratory single case study in a maintenance process. Data were collected using a mixed methods approach that encompassed qualitative meetings and interviews (identification of usage practices) followed by a quantitative survey (elaboration of usage practices and their performance effects). Findings Three usage practices are relevant: Inspect and Improve, Motivate, and Decision Making. Improved performance is best achieved through motivational and supportive improvement use. Furthermore, performance measurement systems must be designed properly to establish their use. Research limitations/implications Being based on a single-case study, the identified usage practices may be limited to field service organisations or other organisations with similar organisational structures. Our findings suggest opportunities for further research linking operational performance measurement system use and the body of knowledge on the design and purpose of performance measurement in maintenance processes. Practical implications A performance measurement system can be used as a motivational improvement tool in operational level leadership. Upper level management must support its use by designing an understandable and applicable system. Originality/value This paper identifies specific usage practices that contribute to improved performance, thereby providing a more detailed view than the usage categories found in the extant literature. The focus is on operational, rather than strategic, level management.
      PubDate: Tue, 23 Sep 2014 02:16:40 GMT
       
  • Optimal lockout/tagout, preventive maintenance, human error and production
           policies of manufacturing systems with passive redundancy
    • Authors: Behnam Emami-Mehrgani et al
      Abstract: Journal of Quality in Maintenance Engineering, Volume 20, Issue 4, September 2014. Purpose The analysis of the optimal production and preventive maintenance with lockout/tagout planning problem for a manufacturing system is presented in this paper. The considered manufacturing system consists of two non-identical machines in passive redundancy producing one type of part. These machines are subject to random breakdowns and repairs. The aim of this study is to minimize production, inventory, backlog and maintenance costs over an infinite planning horizon; in addition, it aims to verify the influence of human reliability on the inventory levels for illustrating the importance of human error during the maintenance and lockout/tagout activities. Design/methodology/approach This paper is different compared to other research projects on preventive maintenance and lockout/tagout. The influence of human error on lockout/tagout as well as on preventive maintenance activities are presented in this paper. The preventive maintenance policy depends on the machine age. For the considered manufacturing system the optimality conditions are provided, and numerical methods are used to obtain machine age-dependent optimal control policies (production and preventive maintenance rates with lockout/tagout). Numerical examples and sensitivity analysis are presented to illustrate the usefulness of the proposed approach. Findings The proposed model taking into account the preventive maintenance activities with lockout/tagout and human error jointly, instead of taking into account separately. It verifies the influence of human error during preventive maintenance and lockout/tagout activities on the optimal safety stock levels using an extension of the hedging point structure. Practical implications The model proposed in this paper might be extended to manufacturing systems, but a number of conditions must be met to make effective use of the model presented in this paper. Originality/value The originality of this paper is to consider the preventive maintenance activities with lockout/tagout and human error simultaneously. The control policy is obtained in order to find the solution for the considered manufacturing system. This paper also brings a new vision on the importance of human reliability during preventive maintenance and lockout/tagout activities.
      PubDate: Tue, 23 Sep 2014 02:16:35 GMT
       
  • Current and prospective information and communication technologies for the
           e-maintenance applications
    • Authors: Professor Uday Kumar; Associate Professor Aditya Parida Associate Professor Ramin Karim et al
      Abstract: Journal of Quality in Maintenance Engineering, Volume 20, Issue 3, Page 233-248, August 2014. Purpose – The purpose of this paper is to presents the current and prospective state of affairs when it comes to the information and communication technologies (ICTs) in condition monitoring (CM) and maintenance, especially for the e-maintenance approach. Design/methodology/approach – The author presents some of the standards for the domain of interest, such as the open system architecture condition-based maintenance. In addition, the e-maintenance approach is gone through as well as such ICTs as, for instance, the emergent web technologies, the service-oriented architecture (SOA), the web services and the Web 2.0 are analysed. Findings – The findings highlight the need for a clearer understanding of the characteristics of different ICTs, such as Web 2.0 technologies, Cloud computing, agent technologies, etc., to be able to use them in an optimal manner for various purposes in the e-maintenance applications. In addition, the standardisation of the emergent ICTs different aspects is shown to be an important factor for the development of different phases of software as well as for its overall acceptance. Research limitations/implications – The given work presents the current and emergent ICTs for the domain of interest and provides the discussion and various issues connected to these ICTs. Practical implications – The author provides practical implications of the different ICTs mentioned in the paper, i.e. benefits and possibilities as well as risks when those technologies are implemented for CM and maintenance, especially for the e-maintenance. Originality/value – The paper provides insight into various current and prospective ICTs for the domain of interest that provides important knowledge for different employees with the objective of a purchase, users of the system, such as technicians, maintenance engineers as well as developers of these systems. Consequently, the paper provides knowledge of different characteristics of the current and prospective technologies, which is important to take into account in order to be able not only to use them in an optimal manner, but also to understand possible constraints if they are used in the system and in applications in the domain.
      PubDate: Sun, 10 Aug 2014 11:55:56 GMT
       
  • Measuring performance of linear assets considering their spatial extension
    • Authors: Professor Uday Kumar; Associate Professor Aditya Parida Associate Professor Ramin Karim et al
      Abstract: Journal of Quality in Maintenance Engineering, Volume 20, Issue 3, Page 276-289, August 2014. Purpose – The purpose of this paper is to investigate how performance of linear assets can be analysed and displayed, considering both the technical asset and the user context, to simplify cognitive tasks of planning and decision making. Design/methodology/approach – Linear, or continuous assets, such as roads, railways, electrical grids and pipelines, are large, geographically spread out technical systems. Linear assets are comprised of system, subsystem and component levels. Thus, asset managers are involved with each level of the linear asset; asset management has strategic, tactical and operational levels. A methodology is developed to link together the technical and organisational levels and to measure asset performance considering their spatial extension. Geographical location and time are used as independent variables. Findings – For performance measurement of linear assets, it is found that the spatial extension is an equally generic dimension as time is for technical assets in general. Furthermore, as linear assets actually are combinations of linear and point assets; separate analysis of these assets is a prerequisite. Asset performance has been studied in a case study in terms failures and cost; the results indicate that the methodology visualise poor, as well as good, performance in an easy to interpret manner. Besides, the results indicate that other parameters related to dependability can be presented in a similar way. Practical implications – This study highlights the importance of including the spatial or geographical extension of linear assets in infrastructure managers’ performance measurement. It is believed that the methodology can make planning and decision making more effective by pointing out improvement areas in technical assets, in a way that is appealing to both technicians and managers. Social implications – As infrastructure managers are improving their analysis and visualisation of performance, the public's interest of following the information increases, which in turn contributes to the connection between infrastructure managers and the public. Originality/value – The presented methodology and case study analysed performance in function of both the technical and organisational levels, including the spatial component. It is believed that the methodology for analysing and visualising performance of linear assets is distinctive.
      PubDate: Sun, 10 Aug 2014 11:55:40 GMT
       
  • Enhancing the usability of maintenance data management systems
    • Authors: Professor Uday Kumar; Associate Professor Aditya Parida Associate Professor Ramin Karim et al
      Abstract: Journal of Quality in Maintenance Engineering, Volume 20, Issue 3, Page 290-303, August 2014. Purpose – The purpose of this paper is to explore and study the aspects of usability related to eMaintenance solutions. The study aims to expand the domain of eMaintenance by increasing the usefulness of the computerized maintenance management systems (CMMS) through improved usability. Design/methodology/approach – The paper opted for an exploratory study using interviews, one expert focus group discussion, and observations. Findings – The paper provides insights on specific usability characteristics that can be adapted to eMaintenance solutions for industrial usage, e.g. aviation and process industry. The findings show that the current implementations of eMaintenance solutions in CMMS, in many cases, suffer from an insufficient level of usability. This has led to usability issues resulting in errors and mistakes. The result is a call for a more user-based focus, in which, the system needs to be easily understood, easily navigated, containing the necessary information to conduct maintenance tasks, tracking of the work conducted and who was involved, and the system needs to be compatible with other systems so that necessary information can be accessed via the CMMS. Research limitations/implications – Because of the chosen research approach, the research results may lack generalizability. Therefore, researchers are encouraged to test the proposed propositions further. Practical implications – The paper includes implications for the development of a CMMS, which could have positive effects for maintenance tasks. Originality/value – This paper fulfills an identified need to study how CMMS actually fulfill the task they are designed to do.
      PubDate: Sun, 10 Aug 2014 11:55:28 GMT
       
  • Information logistics for continuous dependability improvement
    • Authors: Professor Uday Kumar; Associate Professor Aditya Parida Associate Professor Ramin Karim et al
      Abstract: Journal of Quality in Maintenance Engineering, Volume 20, Issue 3, Page 249-261, August 2014. Purpose – The purpose of this paper is to describe an information logistic framework for continuous dependability improvement that is applied within Sweden to improve the operational availability performance of the railway system. Design/methodology/approach – The applied study approach is a case study of the Swedish iron ore transports, described from the perspectives of the infrastructure manager and the operator of the rolling stock. Qualitative data were collected through interviews, workshops and document studies, while quantitative data were collected through databases. As a framework for analysis, international standards within the dependability area were applied. Finally, the conclusions of the study were verified by key informants. Findings – Information logistics provides methodologies and technologies to support continuous dependability improvement through monitoring of the operational availability performance and its included aspects of reliability performance, maintainability performance and maintenance support performance. Practical implications – The operational availability performance of technical systems is crucial to provide a quality of services that fulfils the requirements of stakeholders. Hence, continuous dependability improvement is necessary to keep pace with increasing stakeholder requirements and ongoing system degradation to enable stakeholder satisfaction. The framework is based on best practices and international standards. Originality/value – The proposed framework includes an integration of methodologies and technologies from the information technology and dependability management areas that considers both railway infrastructure and rolling stock.
      PubDate: Sun, 10 Aug 2014 11:55:23 GMT
       
  • eMaintenance solution through online data analysis for railway maintenance
           decision-making
    • Authors: Professor Uday Kumar; Associate Professor Aditya Parida Associate Professor Ramin Karim et al
      Abstract: Journal of Quality in Maintenance Engineering, Volume 20, Issue 3, Page 262-275, August 2014. Purpose – The purpose of this paper is to demonstrate how research within the railway sector is developing eMaintenance solutions using the cloud and web-based applications for improved condition monitoring, better maintenance and increased uptime. This eMaintenance solution is based on the on-line data acquisition, integration and analysis leading to effective maintenance decision making. Design/methodology/approach – In the proposed methodology, data are acquired from railway measurement stations to the eMaintenance cloud, where they are filtered, fused, integrated and analysed to assist maintenance decisions. Extensive consultation with stakeholders has resulted in the analysis of railway data. Findings – The paper provides a concept for a web-based eMaintenance solution for railway maintenance stakeholders for making fact-based decisions and develops more efficient and economically sound maintenance policies. Train wheels reaching their maintenance and safety limits are visualised in grids and graphs to assist stakeholders in making the appropriate maintenance decisions. Practical implications – In this paper the authors have demonstrated that the wheel profile and force data can be remotely collected through cloud utilisation. The information generated can be used for maintenance decision making. Similarly, other measurable data can also be utilised for maintenance decision making. Originality/value – This paper describes the importance of eMaintenance solution through online data analysis to make effective and efficient railway maintenance decisions, as a case study.
      PubDate: Sun, 10 Aug 2014 11:55:19 GMT
       
  • Condition monitoring and e-maintenance solution of railway wheels
    • Authors: Professor Uday Kumar; Associate Professor Aditya Parida Associate Professor Ramin Karim et al
      Abstract: Journal of Quality in Maintenance Engineering, Volume 20, Issue 3, Page 216-232, August 2014. Purpose – The purpose of this paper is to investigate the failure-driven capacity consumption of wheels on the track, to determine whether there are some relations to vehicle wheel configurations that show a larger amount of failures, and to ascertain the influence of the temperature and the travelling direction of the train on the number of events. This information can be used to develop prognostic health management so that more track capacity can be gained without modifications, re-building or re-investments. Design/methodology/approach – This paper presents a study of 1,509 warning and alarm events concerning train wheels. The data come from the infrastructure manager's wheel defect detectors and wheel profile measurement system. These data have been analysed and processed to find patterns and connections to different vehicles, travelling directions and temperatures. Findings – Lower temperatures increase the probability of wheels having high vertical forces. Trains with different wheel configurations show different results. With high vertical forces, the probability of wheel failures at axles 6 and 7 is high for locomotives with two bogies and three axles in each bogie (2×3). All these findings can be used to develop the maintenance, monitoring and inspection principles for wheels. Practical implications – The inspection of wheels to detect failures needs to be more frequent on days and in seasons with lower temperatures. The wheel inspection should be performed more frequently at axles 6 and 7 for locomotives with a 2×3 wheel configuration. The inspection and monitoring of wheels need to be carried out more carefully for trains travelling south, to avoid a large amount of wheels with high force levels rolling in the southern direction. Originality/value – The analysis carried out in this paper identifies important factors that correlate with the high occurrence of wheel defects. It also proposes a conceptual e-maintenance model for the combination of wheel condition monitoring data from different system. The value of this study is the provision of information to support prognostic and health management system to support proactive maintenance.
      PubDate: Sun, 10 Aug 2014 11:55:19 GMT
       
  • Guest editorial
    • Authors: Professor Aditya Parida et al
      Abstract: Journal of Quality in Maintenance Engineering, Volume 20, Issue 3, August 2014.
      PubDate: Sun, 10 Aug 2014 11:55:17 GMT
       
 
 
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