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  • 1
    Language: English
    In: IEEE Transactions on Reliability, September 2012, Vol.61(3), pp.659-674
    Description: To identify the critical components or sets of components in a system, various importance measures have been proposed with different probabilistic perspectives and applications. Many of these importance measures are actually related to each other in some ways. This paper summarizes the importance measures in reliability, and presents relations and comparisons among them, focusing on their interrelations to the B-importance, the dominant relations among them, the dual relations, their performances in typical systems, and their computations. The early versions of the importance measures are for binary coherent systems, while the recent research is not limited to this type of system. This paper investigates the extensions of importance measures in noncoherent systems, multistate systems, continuum systems, and repairable systems.
    Keywords: Position Measurement ; Vectors ; Probabilistic Logic ; Redundancy ; Time Measurement ; Joints ; Continuum Systems ; Importance Measures ; Multi State Systems ; Noncoherent Systems ; Repairable Systems ; Engineering
    ISSN: 0018-9529
    E-ISSN: 1558-1721
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  • 2
    Language: English
    In: IEEE Transactions on Reliability, June 2012, Vol.61(2), pp.344-360
    Description: Many importance measures have been proposed with respect to the diverse considerations of system performance, reflecting different probabilistic interpretations and potential applications. This paper studies importance measures in reliability, including their definitions, probabilistic interpretations, properties, computations, and comparability. It categorizes importance measures into the structure, reliability, and lifetime types based on the knowledge for determining them. It covers importance measures of individual components, and ones of pairs and groups of components. It also investigates importance measures in consecutive-〈i〉k〈/i〉-out-of-〈i〉n〈/i〉 systems.
    Keywords: Vectors ; Redundancy ; Probabilistic Logic ; Position Measurement ; Bayesian Methods ; Time Measurement ; Consecutive- K-Out-of- N Systems ; Joint Importance Measures ; Lifetime Importance Measures ; Reliability Importance Measures ; Structure Importance Measures ; Engineering
    ISSN: 0018-9529
    E-ISSN: 1558-1721
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  • 3
    Article
    Article
    Language: English
    In: IEEE Transactions on Reliability, March 2015, Vol.64(1), pp.2-3
    Description: As we live in a highly technological world, surrounded by the Internet, biological technologies, high-speed trains and sophisticated aircraft, new energy sources, new social movement, wide wealth gap between the rich and poor groups and countries, political and religious differences, and so on, we have to face many new challenges which may either improve or threaten our living environment. All these ever-increasing challenges add new risks, and are in the scope of reliability for sustainability. However, the traditional approach of reliability, which looks into the failure free operation of systems, is far too simple, and has to be re-examined.
    Keywords: Risk Management ; Reliability ; Research and Development ; Engineering
    ISSN: 0018-9529
    E-ISSN: 1558-1721
    Source: IEEE Conference Publications
    Source: IEEE Journals & Magazines 
    Source: IEEE Xplore
    Source: IEEE Journals & Magazines
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  • 4
    Language: English
    In: IEEE Transactions on Reliability, September 2015, Vol.64(3), pp.838-839
    Description: Presents an editorial on the activities and major areas of development in the reliability industry and with the publication from 1999 through 2015.
    Keywords: Engineering
    ISSN: 0018-9529
    E-ISSN: 1558-1721
    Source: IEEE Conference Publications
    Source: IEEE Journals & Magazines 
    Source: IEEE Xplore
    Source: IEEE Journals & Magazines
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  • 5
    Article
    Article
    Language: English
    In: IEEE Transactions on Reliability, June 2011, Vol.60(2), pp.365-367
    Description: A 9.0-magnitude earthquake and the tsunami it triggered hit the north-east coast of Japan on 11 March, 2011, causing widespread death and destruction, including successive hydrogen explosions in three reactors, and the exposure of one spent fuel tank at the Fukushima Daiichi nuclear plant. The released radiation caused a world-wide nuclear phobia. Some overseas rescue teams abandoned Japan for fear of radiation exposure, and people in neighboring countries scrambled to buy iodine and iodized salt for fear of nuclear particles floating across from Japan on the wind.
    Keywords: Special Issues and Sections ; Nuclear Power Generation ; Nuclear Facility Regulation ; Engineering
    ISSN: 0018-9529
    E-ISSN: 1558-1721
    Source: IEEE Conference Publications
    Source: IEEE Journals & Magazines 
    Source: IEEE Xplore
    Source: IEEE Journals & Magazines
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  • 6
    Language: English
    In: European Journal of Operational Research, 16 December 2017, Vol.263(3), pp.879-887
    Description: Most of the maintenance policies in existing publications assume that no cost is incurred as long as the system can undertake missions while little consideration has been devoted to the operating cost during system operation. However, in practice, the operating cost increases while the system ages and degrades even if a system is in a functioning state. This paper proposes a maintenance policy for a degrading system with age- and state-dependent operating cost, which increases with system age and degradation levels. Under such a setting, a replacement model is first developed to investigate the optimal preventive replacement policy. The replacement model is then extended to a repair-replacement model, in which imperfect repair is assumed to restore the system to the operating condition. Particularly, the repair model with controllable and uncontrollable repair levels is considered separately. The paper proves that the optimal maintenance policy is actually a monotone control limit policy, where the optimal control limits decrease monotonically with system age. Finally, a numerical example along with sensitivity analysis is presented to illustrate the optimal maintenance policy. The proposed model implies a more conservative maintenance policy, compared with the traditional model without the age- and state-dependent operating cost.
    Keywords: (T) Maintenance ; Condition-Based Maintenance ; Age- and State-Dependent Operating Cost ; Side Effect of Degradation ; Control Limit Policy ; Engineering ; Business ; Computer Science
    ISSN: 0377-2217
    E-ISSN: 1872-6860
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  • 7
    In: Liu, Bin and Wu, Shaomin and Xie, Min and Kuo, Way (2017) A condition-based maintenance policy for degrading systems with age- and state-dependent operating cost. European Journal of Operational Research, 263 (3). pp. 879-887.
    Description: Most of the maintenance policies in existing publications assume that no cost is incurred as long as the system can undertake missions while little consideration has been devoted to the operating cost during system operation. However, in practice, the operating cost increases while the system ages and degrades even if a system is in a functioning state. This paper proposes a maintenance policy for a degrading system with age- and state-dependent operating cost, which increases with system age and degradation levels. Under such a setting, a replacement model is first developed to investigate the optimal preventive replacement policy. The replacement model is then extended to a repair-replacement model, in which imperfect repair is assumed to restore the system to the operating condition. Particularly, the repair model with controllable and uncontrollable repair levels is considered separately. The paper proves that the optimal maintenance policy is actually a monotone control limit policy, where the optimal control limits decrease monotonically with system age. Finally, a numerical example along with sensitivity analysis is presented to illustrate the optimal maintenance policy. The proposed model implies a more conservative maintenance policy, compared with the traditional model without the age- and state-dependent operating cost.
    Keywords: HA33 Management Science
    ISSN: 0377-2217
    Source: University of Kent
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  • 8
    Language: English
    In: Annals of Operations Research, 2014, Vol.212(1), pp.241-267
    Description: The importance measures have been a sensitivity analysis for a probabilistic system and are applied in diverse fields along with other design tools. This paper provides a comprehensive view on modeling the importance measures to solve the reliability problems such as component assignment problems, redundancy allocation, system upgrading, and fault diagnosis and maintenance. It also investigates importance measures in broad applications such as networks, mathematical programming, sensitivity and uncertainty analysis, and probabilistic risk analysis and probabilistic safety assessment. The importance-measure based methods are among the most practical decision tools.
    Keywords: Importance measures ; Reliability design ; PRA ; Mathematical programming ; Network flow ; Sensitivity analysis ; Uncertainty analysis
    ISSN: 0254-5330
    E-ISSN: 1572-9338
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  • 9
    Language: English
    In: IEEE Transactions on Semiconductor Manufacturing, August 2011, Vol.24(3), pp.392-403
    Description: Spatial defect patterns generated during integrated circuit (IC) manufacturing processes contain information about potential problems in the processes. The detection of these defect patterns is crucial to improve yield and reliability in IC manufacturing. This paper proposes a multistep defect analysis approach that provides clustering results with different levels of accuracy. A defect denoising step, based on the 〈i〉K〈/i〉 th nearest-neighbor noise removal technique, determines the existence of any clustered local defects on a wafer. If local defects exist, the denoising step separates local defects from global defects. A defect clustering step applies a similarity-based clustering technique to group the local defects into clusters according to their spatial locations. A pattern identification step identifies the pattern for each of the local defect clusters (i.e., linear, curvilinear, amorphous, or ring-shaped patterns) via various model selection criteria. Finally, a fine tuning step is applied in order to improve the accuracy of the clustering performance. The fine tuning step is based on model-based clustering with a fixed number of clusters and known patterns for each cluster. The results of both simulated and real wafer map data demonstrate the potential of our approach, both in terms of computational speed and detection accuracy, for analyzing general defect patterns generated during the IC fabrication process.
    Keywords: Manufacturing ; Integrated Circuit Modeling ; Semiconductor Device Modeling ; Accuracy ; Noise Reduction ; Reliability ; Denoising ; Mixture Distribution ; Principal Curve (PC) ; Similarity-Based Clustering ; Spatial Point Process ; Spherical Shells (SS) ; Wafer Map ; Engineering ; Economics
    ISSN: 0894-6507
    E-ISSN: 1558-2345
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  • 10
    Language: English
    In: IEEE Transactions on Reliability, March 2012, Vol.61(1), pp.254-263
    Description: This study proposes Bayesian methods for planning optimal simple step-stress accelerated life tests. The Bayesian approach is an attractive alternative to the maximum likelihood method when there is uncertainty in the planning values of the model parameters. The uncertainty in the planning values is described by a joint prior distribution of the model parameters. The optimization criterion is defined as minimization of the pre-posterior variance of the logarithm of a quantile life at the normal stress condition. Two optimization algorithms, one based on Monte Carlo integration, and the other based on large-sample approximation, are developed to find the optimal plans. Nonparametric kernel smoothing technique is adopted in both algorithms to reduce the computational time. The proposed Bayesian approach is also extended to the design of three-level step-stress accelerated life tests. Effects of prior and sample size on the optimal plans are also investigated. Results indicate that both the prior, and the sample size affect the optimal Bayesian plans. And under certain conditions, the Bayesian approach, and the maximum likelihood approach provide very similar optimal plans.
    Keywords: Stress ; Planning ; Bayesian Methods ; Joints ; Approximation Methods ; Optimization ; Life Estimation ; Accelerated Life Tests ; Bayesian Approach ; Cumulative Exposure Model ; Weibull Distribution ; Engineering
    ISSN: 0018-9529
    E-ISSN: 1558-1721
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