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Reliability, IEEE Transactions on

Issue 4 • Date Dec. 2008

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Displaying Results 1 - 22 of 22
  • Table of contents

    Publication Year: 2008 , Page(s): C1 - 537
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  • IEEE Transactions on Reliability publication information

    Publication Year: 2008 , Page(s): C2
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  • Your Inputs Requested for the 2008 Annual Technical Report (ATR)

    Publication Year: 2008 , Page(s): 538
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  • Prognostic Degradation Models for Computing and Updating Residual Life Distributions in a Time-Varying Environment

    Publication Year: 2008 , Page(s): 539 - 550
    Cited by:  Papers (19)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (874 KB) |  | HTML iconHTML  

    This paper presents a degradation modeling framework for computing condition-based residual life distributions of partially degraded systems and/or components functioning under time-varying environmental and/or operational conditions. Our approach is to mathematically model degradation-based signals from a population of components using stochastic models that combine three main sources of information: real-time degradation characteristics of component obtained by observing the component's in-situ degradation signal, the degradation characteristics of the component's population, and the real-time status of the environmental conditions under which the component is operating. Prior degradation information is used to estimate the model coefficients. The resulting generalized stochastic degradation model is then used to predict an initial residual life distribution for the component being monitored. In-situ degradation signals, along with real-time information related to the environmental conditions, are then used to update the residual life distributions in real-time. Because these updated distributions capture current health information and the latest environmental conditions, they provide precise lifetime estimates. The performance of the proposed models is evaluated using real world vibration-based degradation signals from a rotating machinery application. View full abstract»

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  • Spare Capacity Reprovisioning for Shared Backup Path Protection in Dynamic Generalized Multi-Protocol Label Switched Networks

    Publication Year: 2008 , Page(s): 551 - 563
    Cited by:  Papers (8)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (595 KB) |  | HTML iconHTML  

    Spare capacity allocation serves as one of the most critical tasks in dynamic GMPLS networks to meet the stringent network availability constraint stipulated in the SLA of each connection. In this paper, an availability-aware spare capacity reconfiguration scheme based on shared backup path protection (SBPP) is proposed, aiming to guarantee the E2E availability of each LSP. We first provide an E2E availability model for a SBPP connection that is composed of a working and a SRG-disjoint shared backup LSP pair in the presence of all possible single, and dual simultaneous failures. Partial restoration is identified to further improve the capacity efficiency, and achieve finer service differentiation. For this purpose, restoration attempt is defined as a parameter for each connection that can be manipulated at the source node when the spare capacity of each link is scheduled. Based on the developed model, a linear program (LP) is formulated to perform inter-arrival spare capacity reconfiguration along each pre-determined shared backup LSP to meet the availability constraint of each connection. Simulation is conducted to verify the derived formulation, and to demonstrate the benefits gained in terms of the spare capacity saving ratio, where the conventional SBPP scheme that achieves 100% restorability for any single failure is taken as a benchmark. We will show that the simulation results validate the proposed E2E availability model, where a significant reduction on the required redundancy can be achieved in the effort of meeting a specific availability constraint for each SBPP connection. View full abstract»

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  • Hierarchical Variance Decomposition of System Reliability Estimates With Duplicated Components

    Publication Year: 2008 , Page(s): 564 - 573
    Cited by:  Papers (4)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (455 KB) |  | HTML iconHTML  

    A hierarchical decomposition procedure is proposed to determine the variance of the reliability estimate for complex systems with duplicated components. For these systems, multiple copies of the same component type are used within the system, but only a single reliability estimate is available for each distinct component type. The variance of the reliability estimate is magnified at the system-level due to the covariance of component reliability estimates. Estimating the covariance becomes a formidable task if the system structure is complicated. A hierarchical model is proposed to decompose the system reliability estimate into component levels through intermediate layers. The decomposition procedure causes reliability estimates of duplicated components to remain s-independent when computing the associated variance on the adjacent upper layer. The first order Taylor series expansion is used to propagate the variance from the component level to the system level via intermediate layers. The hierarchical decomposition is preferable for designing robust, reliable systems by reducing or minimizing the system reliability variance at the component level. View full abstract»

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  • On the Mean Residual Life Function of Coherent Systems

    Publication Year: 2008 , Page(s): 574 - 580
    Cited by:  Papers (21)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (318 KB) |  | HTML iconHTML  

    We consider a coherent structure consisting of n components having the property that if it is known that at most r components (r < n) have failed, the system is still operating with probability 1. Some examples of the systems having this property are (n - k + 1)-out-of- n, some parallel-series, and some series-parallel structures. Depending on the structure, and the number of active components of the coherent systems at time t , the mean residual life function of the system is studied, by several authors. This paper investigates more properties of the mean residual life function of the coherent systems sharing the described property. We will show that, when the components of the system have increasing failure rate, the mean residual life function of the system is decreasing in time. Several examples, and illustrative graphs are also provided. View full abstract»

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  • A Fast Algorithm for Searching All Multi-State Minimal Cuts

    Publication Year: 2008 , Page(s): 581 - 588
    Cited by:  Papers (6)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (444 KB) |  | HTML iconHTML  

    Evaluating network reliability is an important topic in planning, designing, and control of systems. Many real-world systems are limited-flow (multi-state) networks composed of multi-state components, and their reliabilities can be computed in terms of minimal cut (MC) vectors to level d (named d-MC). A straightforward exact algorithm is presented here. The idea is to find all d-MC prior to calculating the limited-flow network reliability between the source, and the sink nodes (i.e. the one-to-one reliability), under the condition that all MC are known in advance. The proposed method is more efficient and effective compared to the existing algorithms in deleting the duplicate d -MC, verifying d -MC candidates, and finding the lower bounds of edge capacities in d-MC. The concepts of the proposed algorithm are novel, and first developed, followed by the analysis of associated computational complexities. Further, an example is provided to illustrate the generation of all d-MC, and verify that the obtained d-MC are not duplicated. View full abstract»

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  • Fuzzy Multi-State Systems: General Definitions, and Performance Assessment

    Publication Year: 2008 , Page(s): 589 - 594
    Cited by:  Papers (21)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (247 KB) |  | HTML iconHTML  

    Compared with a binary system model, a multi-state system model provides a more flexible tool for representing engineering systems in real life. In conventional multi-state theory, it is assumed that the exact probability and performance level of each component state are given. However, it may be difficult to obtain sufficient data to estimate the precise values of these probabilities and performance levels in many highly reliable modern engineering systems. New techniques are needed to solve these fundamental problems. A general fuzzy multi-state system model is proposed in this article to overcome these deficiencies. The basic definitions and assumptions of such systems are introduced. The concepts of relevancy, coherency, and equivalence are used to characterize the properties of such systems. Future research directions include performance evaluation algorithms for the defined fuzzy multi-state systems. View full abstract»

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  • A Logarithmic Binary Decision Diagram-Based Method for Multistate System Analysis

    Publication Year: 2008 , Page(s): 595 - 606
    Cited by:  Papers (10)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (572 KB) |  | HTML iconHTML  

    Multistate systems (MSS) are systems in which both the systems, and/or their components may exhibit multiple performance levels or states. MSS can model complex behaviors such as shared loads, performance degradation, imperfect fault coverage, standby redundancy, and limited repair resources. The non-binary state property of MSS, and their components makes the analysis of MSS challenging. In this paper, we propose efficient logarithmically-encoded binary decision diagram (LBDD)-based methods for analysing MSS. The application and advantages of the proposed LBDD-based approaches, as compared to the existing binary decision diagram-based approaches, are demonstrated through the analyses of practical MSS examples, and a set of benchmark examples. View full abstract»

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  • Comparison of Reliability and Testing Models

    Publication Year: 2008 , Page(s): 607 - 615
    Cited by:  Papers (1)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (310 KB) |  | HTML iconHTML  

    We were curious about how well various reliability and testing models would compare with respect to prediction accuracy and testing effectiveness. Therefore, we conducted several experiments to evaluate these properties for the following models: fault tree analysis, geometric and binomial statistical models; and reliability growth models: Yamada S Shape Model, Schneidewind Single Parameter Model, and Schneidewind Software Reliability Model. We developed modified versions of the geometric and binomial models that comprise a new contribution to the body of software reliability research. The Yamada model provided the best prediction accuracy for one of the Shuttle's failure data sets. Future research would involve evaluating all models against multiple data sets. View full abstract»

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  • Inference for a Simple Step-Stress Model With Type-II Censoring, and Weibull Distributed Lifetimes

    Publication Year: 2008 , Page(s): 616 - 626
    Cited by:  Papers (16)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (495 KB) |  | HTML iconHTML  

    The simple step-stress model under type-II censoring based on Weibull lifetimes, which provides a more flexible model than the exponential model, is considered in this paper. For this model, the maximum likelihood estimates (MLE) of its parameters, as well as the corresponding observed Fisher information matrix, are derived. The likelihood equations do not lead to closed-form expressions for the MLE, and they need to be solved by using an iterative procedure, such as the Newton-Raphson method. We also present a simplified estimator, which is easier to compute, and hence is suitable to use as an initial estimate in the iterative process for the determination of the MLE. We then evaluate the bias, and mean square error of these estimates; and provide asymptotic, and bootstrap confidence intervals for the parameters of the Weibull simple step-stress model. Finally, the results are illustrated with some examples. View full abstract»

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  • On Start-Up Demonstration Tests Under Exchangeability

    Publication Year: 2008 , Page(s): 627 - 632
    Cited by:  Papers (7)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (257 KB) |  | HTML iconHTML  

    Consecutive successes total failures (CSTF) is a well known start-up demonstration test procedure in which a unit under test is accepted when successive start-up attempts produce a specified number of consecutive successes before a specified number of failures; otherwise the unit is rejected, and in both cases testing (the experiment) is terminated. The CSTF procedure is studied here assuming that the probability of a successful start-up is a random variable. Under this assumption, the outcomes of the attempted start-ups are dependent random variables following an exchangeable model. The unconditional, and the conditional probability distributions of the waiting time (length of the test) are derived and studied in this situation. The first two moments of unconditional waiting time distribution are calculated. Numerical and graphical illustrations are provided, and comparisons are made with the corresponding results for the i.i.d. model. View full abstract»

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  • A New Method for Goodness-of-Fit Testing Based on Type-II Right Censored Samples

    Publication Year: 2008 , Page(s): 633 - 642
    Cited by:  Papers (6)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (496 KB) |  | HTML iconHTML  

    We present a simple method for testing goodness-of-fit based on type-II right censored samples. Applying the property of order statistics due to Malmquist, we can transform any conventional type-II right censored sample of size r out of n from a uniform distribution to a complete sample of size r from a uniform distribution. This result is used to develop the proposed goodness-of-fit test procedure. The simulation studies reveal that the proposed approach provides as good or better overall power than the method of Michael & Schucany. View full abstract»

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  • Decisions on an Optimal Life Test Sampling Plan With Warranty Considerations

    Publication Year: 2008 , Page(s): 643 - 649
    Cited by:  Papers (3)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (186 KB) |  | HTML iconHTML  

    The choice of an appropriate life test sampling plan is a crucial decision problem because a good plan not only can help producers save testing time, and reduce testing cost; but it also can positively affect the image of the product, and thus attract more consumers to buy it. This study developed a decision model in determining the optimal life test sampling plan with an aim of cost minimization by identifying the appropriate number of product failures in a sample that should be used as a threshold in judging the rejection of a batch. A Weibull distribution with two parameters (i.e. scale factor, and shape factor) was assumed to be appropriate for modeling the lifetime of a product, and a Bayesian decision model was thus constructed to perform the prior, preposterior, and posterior analyses. The cost structure thoroughly encompassed the considerations of rejection, acceptance, testing, and warranty costs for the adoption of an optimal sampling plan, which is capable of providing guidelines for making better decisions. Finally, a practical numerical application was employed to demonstrate the effectiveness of the proposed approach. View full abstract»

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  • Multilevel Redundancy Allocation Optimization Using Hierarchical Genetic Algorithm

    Publication Year: 2008 , Page(s): 650 - 661
    Cited by:  Papers (9)
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (576 KB) |  | HTML iconHTML  

    This paper proposes a generalized formulation for multilevel redundancy allocation problems that can handle redundancies for each unit in a hierarchical reliability system, with structures containing multiple layers of subsystems and components. Multilevel redundancy allocation is an especially powerful approach for improving the system reliability of such hierarchical configurations, and system optimization problems that take advantage of this approach are termed multilevel redundancy allocation optimization problems (MRAOP). Despite the growing interest in MRAOP, a survey of the literature indicates that most redundancy allocation schemes are mainly confined to a single level, and few problem-specific MRAOP have been proposed or solved. The design variables in MRAOP are hierarchically structured. This paper proposes a new variable coding method in which these hierarchical design variables are represented by two types of hierarchical genotype, termed ordinal node, and terminal node. These genotypes preserve the logical linkage among the hierarchical variables, and allow every possible combination of redundancy during the optimization process. Furthermore, this paper developed a hierarchical genetic algorithm (HGA) that uses special genetic operators to handle the hierarchical genotype representation of hierarchical design variables. For comparison, the customized HGA, and a conventional genetic algorithm (GA) in which design variables are coded in vector forms, are applied to solve MRAOP for series systems having two different configurations. The solutions obtained when using HGA are shown to be superior to the conventional GA solutions, indicating that the HGA here is especially suitable for solving MRAOP for series systems. View full abstract»

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  • Safety Achieved by the Safe Failure Fraction (SFF) in IEC 61508

    Publication Year: 2008 , Page(s): 662 - 669
    Save to Project icon | Request Permissions | Click to expandQuick Abstract | PDF file iconPDF (187 KB) |  | HTML iconHTML  

    The present paper examines the effect of safe failure fraction (SFF) constraints on hazardous-event rates, and discusses the validity of the SFF constraints in IEC 61508. First, the safe states are categorized into three types of states, and overall systems involving safety-related systems are classified into six types of systems based on the safe-state categorization, and the completeness of trips. Next, state-transition models for the systems where the effect of SFF is the greatest are presented, and the hazardous-event rates are analysed for the systems. Then, it is found that, when the effect of the SFF constraints is positive, it is negligible; and when it is negative, it is not negligible for safety. Thus, we recommend that the application of the SFF constraints to the standard should be put on hold. View full abstract»

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  • Why we joined ... [advertisement]

    Publication Year: 2008 , Page(s): 670
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  • 2008 Index IEEE Transactions on Reliability Vol. 57

    Publication Year: 2008 , Page(s): 671 - 679
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  • Reliability Society to Offer Scholarships

    Publication Year: 2008 , Page(s): 680
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  • IEEE Transactions on Reliability institutional listings

    Publication Year: 2008 , Page(s): C3
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  • IEEE Transactions on Reliability institutional listings

    Publication Year: 2008 , Page(s): C4
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Aims & Scope

IEEE Transactions on Reliability is concerned with the problems involved in attaining reliability, maintaining it through the life of the system or device, and measuring it.

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Meet Our Editors

Editor-in-Chief
Way Kuo
City University of Hong Kong