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Authors:Zohreh Pakdaman, Marzieh Shekari Abstract: International Journal of Reliability, Quality and Safety Engineering, Ahead of Print. In this paper, the stress–strength reliability of two multicomponent parallel systems with heterogeneous exponentiated half logistic-[math] components under the same and the different baseline distribution functions are compared. The comparisons are carried out concerning the usual stochastic order and reversed hazard rate order with majorized shape parameters of the distributions. Also, the maximum likelihood estimator (MLE) and uniformly minimum variance unbiased estimator (UMVUE) of the stress–strength reliability of the aforementioned multicomponent parallel system are obtained and then compared via Monte Carlo simulations. Citation: International Journal of Reliability, Quality and Safety Engineering PubDate: 2022-02-22T08:00:00Z DOI: 10.1142/S0218539321500510
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Authors:Andas Amrin, Vasilios Zarikas, Christos Spitas Abstract: International Journal of Reliability, Quality and Safety Engineering, Ahead of Print. In this work, a methodology that uses the dynamic Bayesian networks (DBNs) in combination with an idea algebra is developed for assessing the dynamic reliability of engineering systems. A network representation of the system topology is first introduced in the form of “idea” objects representing components and their functional interfaces, thus integrating the functional and material descriptions of the system. Various time-dependent functionalities can thus be mapped to segments or loops of the resulting network, which are then translated automatically into the form of a DBN, thereby avoiding the need to manually generate the dynamic fault tree (DFT) logic that would normally serve as a starting point. The methodology is demonstrated in a case study, where reliability analysis of an automobile system is performed. The idea algebra is automatically deployed in Mathematica and evaluated in the GeNIe platform. Weibull distribution was used for the generation of the dynamic values for the reliability analysis of the system within a certain period. Citation: International Journal of Reliability, Quality and Safety Engineering PubDate: 2022-02-09T08:00:00Z DOI: 10.1142/S0218539321500455
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Authors:V. V. Singh, Abdulkareem Lado Ismail, Umesh Chand, Sudhansu S. Maiti Abstract: International Journal of Reliability, Quality and Safety Engineering, Ahead of Print. This paper is the stochastic analysis of a complex repairable system comprising of subsystems in a series arrangement under the [math]-out-of-[math]: [math] type configuration. Both of the subsystems are in series arrangement and having auto transfer switches when some unit fails. Subsystem 1 is supposed to work under the [math]-out-of-[math]: [math], scheme, and subsystem 2 which has four indistinguishable units in parallel arrangement with an auto switch functioning under the 1-out-of-4: [math] scheme. A catastrophic failure is characterized as causing damage to the entire system. Units’ failure, switch failures, and catastrophic failure rates are constant, but repair rates are treated as variables with two types of distributions: general distribution and copula distribution. The model is analyzed using a supplementary variables approach, with probabilistic measures such as availability, reliability, MTSF, and profit functions derived. Citation: International Journal of Reliability, Quality and Safety Engineering PubDate: 2022-02-09T08:00:00Z DOI: 10.1142/S0218539321500479
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Authors:Xiaoning Zhang, Junyuan Wang Abstract: International Journal of Reliability, Quality and Safety Engineering, Ahead of Print. In this paper, a random repairable [math]-out-of-[math] system is studied when random replacement policies are performed, where [math] is a stochastic parameter. It is replaced before failure at a planned time [math] or at random working cycle [math], whichever occurs last or first. Furthermore, optimal replacement policies are obtained for the extended models with working numbers. This paper aims to find the optimal replacement policies when replacement first and last policies are performed. Expected cost rates for the first and last replacement policies are derived, and their optimal replacement policies are derived analytically. Numerical examples are given to illustrate the theoretical results. Citation: International Journal of Reliability, Quality and Safety Engineering PubDate: 2021-11-15T08:00:00Z DOI: 10.1142/S0218539321410023
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Authors:Xiaoning Zhang, Jiajia Cai, Xufeng Zhao Abstract: International Journal of Reliability, Quality and Safety Engineering, Ahead of Print. This paper takes up managerial maintenance policies during different phases for mission executions. When a mission execution is divided into two phases and three phases respectively, replacement, minimal repair and keeping failure status become alternatives for managerial maintenance policies. Further, we give approximations of the above managerial maintenance policies to make the computations simple. In this paper, keeping failure status is considered as the last choice for the last phase of mission executions. We aim to minimize the expected maintenance costs for the total mission executions. All of the discussions are made analytically and their numerical examples are given. Citation: International Journal of Reliability, Quality and Safety Engineering PubDate: 2021-11-13T08:00:00Z DOI: 10.1142/S0218539321410035
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Authors:Bahman Arasteh, Reza Solhi Abstract: International Journal of Reliability, Quality and Safety Engineering, Ahead of Print. Software play remarkable roles in different critical applications. On the other hand, due to the shrinking of transistor size and reduction in supply voltage, radiation-induced transient errors (soft errors) have become an important source of computer systems failure. As the rate of transient hardware faults increases, researchers have investigated software techniques to control these faults. Performance overhead is the main drawback of software-implemented methods like recovery blocks that use technical redundancy. Enhancing the software reliability against soft errors by utilizing inherently error masking (invulnerable) programming structures is the main goal of this study. During the programming phase and at the source code level, programmers can select different storage classes such as automatic, global, static and register for the data into their program without paying attention to their inherent reliability. In this study, the inherent effects of these storage classes on the program reliability are investigated. Extensive series of profiling and fault-injection experiments were performed on the set of benchmark programs implemented with different storage classes. Regarding the results of experiments, we find that the programs implemented with automatic storage classes have inherently higher reliability than the programs with static and register storage classes without performance overhead. This finding enables the programmers to develop highly reliable programs without technical redundancy and performance overhead. Citation: International Journal of Reliability, Quality and Safety Engineering PubDate: 2021-11-13T08:00:00Z DOI: 10.1142/S0218539321500388
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Authors:Hang Zhou, Fan Li, Michelle Le Blanc, Jingzhe Pan Abstract: International Journal of Reliability, Quality and Safety Engineering, Ahead of Print. The underground high-voltage power transmission cables are high value engineering assets that suffer from multiple deteriorations through-out life cycles. Recent studies identified a new failure mode – the pitting corrosion deterioration on the layer of phosphor bronze reinforcing tape, which protects the oil-filled power transmission cables from oil leakage due to deterioration of the leads heath. Two models estimating the phosphor bronze tape life were established separately in this study. The first model, based on mathematical fitting, is generated using a replacement priority model from the power supply industry. This is considered as an empirical-based model. The second model, based on the corrosion fatigue mechanism, utilizes the information of the pit depth distribution and the concept of pit-to-crack transfer probability. The Bayesian inference approach is the conjunction algorithm to update the existing probability of failure (PoF) model with the newly identified failure modes. Through this algorithm, the integrated PoF model contains a more comprehensive background information while maintaining the empirical knowledge on the engineering assets’ performance. Citation: International Journal of Reliability, Quality and Safety Engineering PubDate: 2021-10-18T07:00:00Z DOI: 10.1142/S021853932150042X
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Authors:Ayman Baklizi Abstract: International Journal of Reliability, Quality and Safety Engineering, Ahead of Print. In this paper, we developed a method for constructing confidence intervals for the parameters of lifetime distributions based on progressively type II censored data. The method produces closed form expressions for the bounds of the confidence intervals for several special cases of parameters and lifetime distributions. Closed form approximations are derived for the intervals for the parameters of the location or scale families of distributions. The method is illustrated with several examples and analyses of real data sets are included to illustrate the application of the method. Citation: International Journal of Reliability, Quality and Safety Engineering PubDate: 2021-10-18T07:00:00Z DOI: 10.1142/S0218539321500443
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Authors:Mangey Ram, Ashok Singh Bhandari, Akshay Kumar Abstract: International Journal of Reliability, Quality and Safety Engineering, Ahead of Print. Roads have always been the main source of transportation all over the world. Easy accessibility and more safety are the most important features of road transportation. Improvements in these areas are constantly required and invited. Solar road studs are one of the remarkable improvements in road safety. Solar road studs use solar energy, which is the most sustainable and pollution-free source of energy that provides reliable power supplies and fuel diversification. Solar road studs are flashing solar cell-powered LED lighting devices used in road construction to delineate road edges and centerlines. This research work is dedicated to evaluating the reliability measures which include availability, mean time to failure (MTTF), cost analysis, and sensitivity analysis with their graphical representation by using the Markov process. Along with reliability assessment, Particle Swarm Optimization (PSO) technique is applied to optimize the cost of the system. Citation: International Journal of Reliability, Quality and Safety Engineering PubDate: 2021-10-05T07:00:00Z DOI: 10.1142/S0218539321500418
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Authors:Mukesh Kumar Mehlawat, Divya Mahajan Abstract: International Journal of Reliability, Quality and Safety Engineering, Ahead of Print. Performance of a software is an important feature to determine the quality of the software developed. Performance testing of modular software is a time consuming and costly task. Several performance testing tools (PTTs) are available in the market which help software developers to test their software performance. In this paper, we propose an integrated multiobjective optimization model for evaluation and selection of best-fit PTT for modular software system. The total performance tool cost is minimized and the fitness evaluation score of the PTTs is maximized. The fitness evaluation of PTT is done based on various attributes by making use of the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). The model allows the software developers to select the number of PTTs as per their requirement. The individual performance of the modules is considered based on some performance properties. The reusability constraints are considered, as a PTT can be used in the same module to test different properties and/or it can be used in different modules to test same or different performance properties. A real-world case study from the domain of enterprise resource planning (ERP) is used to show the working of the suggested optimization model. Citation: International Journal of Reliability, Quality and Safety Engineering PubDate: 2021-09-30T07:00:00Z DOI: 10.1142/S021853932150039X
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Authors:Arvind Pandey, David D. Hanagal, Shikhar Tyagi, Pragya Gupta Abstract: International Journal of Reliability, Quality and Safety Engineering, Ahead of Print. Due to the unavailability of complete data in various circumstances in biological, epidemiological, and medical studies, the analysis of censored data is very common among practitioners. But the analysis of bivariate censored data is not a regular mechanism because it is not necessary to always have independent data. Observed and unobserved covariates affect the variables under study. So, heterogeneity is present in the data. Ignoring observed and unobserved covariates may have objectionable consequences. But it is not easy to find that whether there is any effect of the unobserved covariate or not. Shared frailty models are the viable choice to counter such scenarios. However, due to certain restrictions such as the identifiability condition and the requirement that their Laplace transform exists, finding a frailty distribution can be difficult. As a result, in this paper, we introduce a new frailty distribution generalized Lindley (GL) for reversed hazard rate (RHR) setup that outperforms the gamma frailty distribution. So, our main motive is to establish a new frailty distribution under the RHR setup. By assuming exponential Gumbel (EG) and generalized inverted exponential (GIE) baseline distributions, we propose a new class of shared frailty models based on RHR. We estimate the parameters in these frailty models and use the Bayesian paradigm of the Markov Chain Monte Carlo (MCMC) technique. Model selection criteria have been performed for the comparison of models. We analyze Australian twin data and suggest a better model. Citation: International Journal of Reliability, Quality and Safety Engineering PubDate: 2021-09-30T07:00:00Z DOI: 10.1142/S0218539321500406
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Authors:Shinji Inoue, Takaji Fujiwara, Shigeru Yamada Abstract: International Journal of Reliability, Quality and Safety Engineering, Ahead of Print. Safety integrity level (SIL)-based functional safety assessment is widely required in designing safety functions and checking their validity of electrical/electronic/programmable electronic (E/E/PE) safety-related systems after being issued IEC 61508 in 2010. For the hardware of E/E/PE safety-related systems, quantitative functional safety assessment based on target failure measures is needed for deciding or allocating the level of SIL. On the other hand, IEC 61508 does not provide any quantitative safety assessment method for allocating SIL for the software of E/E/PE safety-related systems because the software failure is treated as a systematic failure in IEC 61508. We discuss the needfulness of quantitative safety assessment for software of E/E/PE safety-related systems and propose mathematical fundamentals for conducting quantitative SIL-based safety assessment for the software of E/E/PE safety-related systems by applying the notion of software reliability modeling and assessment technologies. We show numerical examples for explaining how to use our approaches. Citation: International Journal of Reliability, Quality and Safety Engineering PubDate: 2021-09-23T07:00:00Z DOI: 10.1142/S0218539321500431
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Authors:M. P. Gadre, Savita S. Venegurkar Abstract: International Journal of Reliability, Quality and Safety Engineering, Ahead of Print.
Citation: International Journal of Reliability, Quality and Safety Engineering PubDate: 2021-09-11T07:00:00Z DOI: 10.1142/S0218539321920017
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Authors:Hongshuang Feng, Wenjuan Wu, Junyuan Wang Abstract: International Journal of Reliability, Quality and Safety Engineering, Ahead of Print. In the computer science community, garbage collection is a dynamic storage management technology to ensure the reliability of computer systems. In this paper, we consider two garbage collection policies to meet the goal of time consumption for a generational garbage collector when increase in objects might be unclear at discrete times for the high frequency of computer processes. That is, (a) tenuring collection is triggered at the [math]th minor collection preventively or at a threshold amount [math] of surviving objects correctively, and (b) major collection is made at discrete times [math] for a given [math] or at the [math]th collection including minor and tenuring collections. Using the damage process and renewal theory, the expected cost rates are obtained, and their optimal policies for tenuring and major collection are discussed analytically and computed numerically. Citation: International Journal of Reliability, Quality and Safety Engineering PubDate: 2021-09-09T07:00:00Z DOI: 10.1142/S0218539321410011
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Authors:Priyanka Gupta, Adarsh Anand, Mangey Ram Abstract: International Journal of Reliability, Quality and Safety Engineering, Ahead of Print. Software Quality has many parameters that govern its value. Of them, usually, Reliability has gained much attention of researchers and practitioners. However, today’s ever-demanding environment poses severe challenges in front of software creators as to continue treating Reliability as one of the most important attributes for governing software quality when other important parameters like re-usability, security and resilience to name a few are also available. Evaluating, ranking and selecting the most approximate attribute to govern the software quality is a complex concern, which technically requires a multi-criteria decision-making environment. Through this paper, we have proposed an Intuitionistic Fuzzy Set-based TOPSIS approach to showcase why reliability is one of the most preferable parameters for governing software quality. In order to collate individual opinions of decision makers; software developers of various firms were administered for rating the importance of various criteria and alternatives. Citation: International Journal of Reliability, Quality and Safety Engineering PubDate: 2021-08-30T07:00:00Z DOI: 10.1142/S0218539321400039
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Authors:Mukesh Kumar Nigam, Shwetank Avikal, Mangey Ram Abstract: International Journal of Reliability, Quality and Safety Engineering, Ahead of Print. Enterprise resource planning (ERP) projects are prone to risk from the strategic, operational, technical and organizational perspective. The assessment of project risks is a challenging task for project managers and is considered in a class of a multi-criteria decision making (MCDM) problem. In this work, an MCDM approach has been presented for risk assessment in ERP project by COPRAS under fuzzy environment where the vagueness and subjectivity are handled with linguistic terms parameterized by triangular fuzzy number. Fuzzy COPRAS (COPRAS-F) has been used to determine the weight of risk criteria and then prioritize the risk factor based on the calculated weight of criteria. The prioritized risk factors have been classified in scale from almost certain to rare risks. The proposed approach is illustrated with a real case studying fertilizer plant and the associated results have been compared with fuzzy TOPSIS technique. The result of this study demonstrates that excessive customization, ineffective consulting services experiences, complex architecture and high number of modules, poor project team skills, inadequate change management, inadequate ERP selection, ineffective strategic thinking and planning, poor leadership, lack of business process re-engineering and low-key user involvement are top ten risks that need to be mitigated to avoid failure of ERP project. Citation: International Journal of Reliability, Quality and Safety Engineering PubDate: 2021-08-30T07:00:00Z DOI: 10.1142/S0218539321400064
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Authors:K. Krishna Mohan, Harun Ul Rasheed Shaik, A. Srividya, Ajit Kumar Verma Abstract: International Journal of Reliability, Quality and Safety Engineering, Ahead of Print. Software reliability evaluation of complex systems is always a challenging task with conventional methods comprising both functional as well as nonfunctional aspects of real-world applications. Prevailing model frameworks moreover apply a nonfunctional approach (black-box model) that is modeled on defect data or through a functional approach (white-box model) that uses component or state-based interactions. Also, other challenges involve integrating both approaches, and validating user profiles of software operation. Further, reliability assessment is one among the most important and desirable qualities of service requirements of software systems, particularly in monitoring critical business transactions. Here, we propose a model framework to evaluate the overall reliability estimation involving both functional and nonfunctional model analyses using: (a) white-box assessment based on intercomponent analysis via component-based Cheung’s model and user profile validations with one of the identified deep learning techniques and (b) black-box modeling evaluation via generalized stochastic Petri nets based on orthogonal defect classification. A newly introduced deep learning model using white-box analysis is validated with pertinent usage profiles to establish a new trend in artificial neural networks and as well with software reliability estimation. Additionally, we introduce and present a quantitative technique — analytical hierarchy — to integrate reliability assessment and provide weights to the white-box and as well for black-box approaches to quantify overall reliability estimation. The proposed framework is illustrated with an application case study. Citation: International Journal of Reliability, Quality and Safety Engineering PubDate: 2021-08-30T07:00:00Z DOI: 10.1142/S0218539321400076
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Authors:Mitsutaka Kimura, Mitsuhiro Imaizumi, Takahito Araki Abstract: International Journal of Reliability, Quality and Safety Engineering, Ahead of Print. Code error correction methods have been important techniques at a radio environment and video stream transmission. In general, when a server transmits some data packets to a client, the server resends the only loss packets. But in this method, a delay occurs in a transmission. In order to prevent the transmission delay, the loss packets are restored by the error correction packet on a client side. The code error correction method is called Hybrid Automatic Repeat reQuest (ARQ) and has been researched. On the other hand, congestion control schemes have been important techniques at a data communication. Some packet losses are generated by network congestion. In order to prevent some packet losses, the congestion control performs by prolonging packet transmission intervals, which is called High-performance and Flexible Protocol (HpFP). In this paper, we present a stochastic model of congestion control based on packet transmission interval with Hybrid ARQ for data transmission. That is, if the packet loss occurs, the data packet received in error is restored by the error correction packet. Moreover, if errors occur in data packets, the congestion control performs by prolonging packet transmission intervals. The mean time until packet transmissions succeed is derived analytically, and a window size which maximizes the quantity of packets per unit of time until the transmission succeeds is discussed. Citation: International Journal of Reliability, Quality and Safety Engineering PubDate: 2021-07-29T07:00:00Z DOI: 10.1142/S0218539321400040
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Authors:Mangey Ram, Ajit Kumar Verma Abstract: International Journal of Reliability, Quality and Safety Engineering, Ahead of Print.
Citation: International Journal of Reliability, Quality and Safety Engineering PubDate: 2021-07-03T07:00:00Z DOI: 10.1142/S0218539321030017
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Authors:Deepak Kumar, S. B. Singh Abstract: International Journal of Reliability, Quality and Safety Engineering, Ahead of Print. Here, we appraise the reliability for numerous complex structures (series structure, parallel structure and bridge structure) using accuracy and score function under fuzzy environment. The main focus of this effort is to address an advanced technique for fuzzy reliability evaluation of various complex systems having different arrangements by treating reliability of the unit/component as an interval valued intuitionistic hesitant fuzzy element. This technique helps to handle uncertainty and hesitancy in multi-attribute group decision-making related issues, specially when information occurs in interval form in fuzzy set. A numerical illustration is also included to demonstrate the proposed technique. Citation: International Journal of Reliability, Quality and Safety Engineering PubDate: 2021-06-28T07:00:00Z DOI: 10.1142/S0218539321400052
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Authors:Taishin Nakamura Abstract: International Journal of Reliability, Quality and Safety Engineering, Ahead of Print. The multistate sliding window system (SWS) comprises [math] multistate components arranged in a line; each group of [math] consecutive multistate components is considered as a window. If the total performance rate in a window does not meet the predetermined demand [math], then that window is regarded as a failure. The SWS fails if and only if there exists at least one failed window. Several researchers have considered the component assignment problem for the SWS with the aim of finding an appropriate component arrangement that maximizes system reliability. Such an arrangement is called the optimal arrangement. Although several metaheuristic and heuristic algorithms have been proposed, an exact algorithm for solving the component assignment problem of the SWS has not been developed thus far. Therefore, in this study, a branch-and-bound-based algorithm is developed to determine the optimal arrangement of the SWS efficiently. Furthermore, a recursive method is proposed to compute the system reliability. Combining the branch-and-bound-based algorithm with the recursive method enables reduction of the complexity of the reliability computations for determining the optimal arrangement. To investigate the efficiency of the branch-and-bound-based algorithm, numerical experiments were conducted; it was observed that the parameters [math] and [math] have the maximum effect on computation time, whereas parameter [math] has minimal effect. The proposed algorithm is useful for improving the reliability of a practical system that can be expressed as an SWS. In addition, the optimal arrangements can be used to measure the heuristic and metaheuristic performances because they guarantee global optimality. Citation: International Journal of Reliability, Quality and Safety Engineering PubDate: 2021-06-25T07:00:00Z DOI: 10.1142/S0218539321400015
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Authors:Ioannis S. Triantafyllou Abstract: International Journal of Reliability, Quality and Safety Engineering, Ahead of Print. In this paper, we study the closure property of the Increasing Failure Rate (IFR) class under the formation of coherent systems. Sufficient conditions for the nonpreservation of the IFR attribute for reliability structures consisting of [math] independent and identically distributed ([math] components are provided. More precisely, we deal with the IFR preservation (or nonpreservation) under the formation of structures with two common failure criteria by the aid of their signature vectors. Citation: International Journal of Reliability, Quality and Safety Engineering PubDate: 2021-06-25T07:00:00Z DOI: 10.1142/S0218539321400027
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Authors:F. Shahsanaei, A. Daneshkhah Abstract: International Journal of Reliability, Quality and Safety Engineering, Ahead of Print. This paper provides Bayesian and classical inference of Stress–Strength reliability parameter, [math], where both [math] and [math] are independently distributed as 3-parameter generalized linear failure rate (GLFR) random variables with different parameters. Due to importance of stress–strength models in various fields of engineering, we here address the maximum likelihood estimator (MLE) of [math] and the corresponding interval estimate using some efficient numerical methods. The Bayes estimates of [math] are derived, considering squared error loss functions. Because the Bayes estimates could not be expressed in closed forms, we employ a Markov Chain Monte Carlo procedure to calculate approximate Bayes estimates. To evaluate the performances of different estimators, extensive simulations are implemented and also real datasets are analyzed. Citation: International Journal of Reliability, Quality and Safety Engineering PubDate: 2021-06-03T07:00:00Z DOI: 10.1142/S0218539321500315
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