Tampered Failure Rate Load-Sharing Systems: Status and Perspectives

Load-sharing systems have several practical applications. In load-sharing systems, the event of a component failure will result in a higher load, therefore inducing a higher failure rate, in each of the surviving components. This introduces failure dependency among the load-sharing components, which in turn increases the complexity in analyzing these systems. In this chapter, we first discuss modeling approaches and existing solution methods for analyzing the reliability of load-sharing systems. We then describe tampered failure rate (TFR) load-sharing systems and their properties. Using these properties, we provide efficient solution methods for solving TFR load-sharing models. Because load-sharing k-out-of-n systems have several practical applications in reliability engineering, we provide a detailed analysis for various cases of these systems. The solution methods proposed in this chapter are applicable for both identical and non-identical component cases. The proposed methods are not restricted to the exponential failure distributions and are applicable for a wide range of failure time distributions of the components. In most cases, we provide closed-form analytical solutions for the reliability of TFR load-sharing k-out-ofn: G systems. As a special case, efficient solutions are provided for systems with identical components where all surviving components share the load equally. The efficiencies of the proposed methods are demonstrated through several numerical examples.

[1]  D. Cox Regression Models and Life-Tables , 1972 .

[2]  Walter Freiberger,et al.  Statistical Computer Performance Evaluation , 1972 .

[3]  Peng Huang,et al.  Stochastic Models in Reliability , 1999, Technometrics.

[4]  Nicholas P. Jewell,et al.  Marker processes in survival analysis , 1996, Lifetime data analysis.

[5]  Huamin Liu,et al.  Cutting-tool reliability assessment in variable machining conditions , 1996, IEEE Trans. Reliab..

[6]  Dimitri Kececioglu,et al.  Reliability engineering handbook , 1991 .

[7]  A. Mettas,et al.  Application of quantitative accelerated life models on load sharing redundancy , 2004, Annual Symposium Reliability and Maintainability, 2004 - RAMS.

[8]  David R. Cox,et al.  Regression models and life tables (with discussion , 1972 .

[9]  E. Elsayed,et al.  A general accelerated life model for step-stress testing , 2005 .

[10]  Huamin Liu Reliability of a load-sharing k-out-of-n:G system: non-iid components with arbitrary distributions , 1998 .

[11]  Chun Kin Chan Availability analysis of load-sharing systems , 2003, Annual Reliability and Maintainability Symposium, 2003..

[12]  S. L. Phoenix Probabilistic Theories of Time Dependent Failure of Fiber Bundles , 1976 .

[13]  Michel Loève,et al.  Ranking Limit Problem , 1956 .

[14]  Suprasad V. Amari,et al.  A new approach to solve dynamic fault trees , 2003, Annual Reliability and Maintainability Symposium, 2003..

[15]  S. Phoenix The asymptotic distribution for the time to failure of a fiber bundle , 1979, Advances in Applied Probability.

[16]  Prem K. Goel,et al.  Bayesian estimation and optimal designs in partially accelerated life testing , 1979 .

[17]  J. J. Higgins,et al.  A new model for step-stress testing , 1998 .

[18]  Patricia J. Solomon,et al.  Effect of misspecification of regression models in the analysis of survival data , 1984 .

[19]  Rong-hua Wang,et al.  Uniqueness of the Maximum Likelihood Estimate of the Weibull Distribution Tampered Failure Rate Model , 2003 .

[20]  Bernard D. Coleman,et al.  Statistics and Time Dependence of Mechanical Breakdown in Fibers , 1958 .

[21]  Kaung-Hwa Chen,et al.  A multivariant exponential shared-load model , 1993 .

[22]  D. R. Weier Bayes estimation for a bivariate survival model based on exponential distributions , 1981 .

[23]  Andrew K. S. Jardine,et al.  Proportional hazards analysis of diesel engine failure data , 1989 .

[24]  J. E. Freund A Bivariate Extension of the Exponential Distribution , 1961 .

[25]  William H. Press,et al.  Numerical recipes in C , 2002 .

[26]  Bernd Bertsche,et al.  Models to consider load-sharing in reliability calculation and simulation of systems consisting of mechanical components , 2003, Annual Reliability and Maintainability Symposium, 2003..

[27]  V. Makis,et al.  Reliability assessment of systems operating in variable conditions , 1995, Proceedings of 3rd International Symposium on Uncertainty Modeling and Analysis and Annual Conference of the North American Fuzzy Information Processing Society.

[28]  Yuan-Shun Dai,et al.  Computing systems reliability - models and analysis , 2004 .

[29]  Philip Heidelberger,et al.  Analysis of Performability for Stochastic Models of Fault-Tolerant Systems , 1986, IEEE Transactions on Computers.

[30]  Alessandro Birolini Reliability Engineering: Theory and Practice , 1999 .

[31]  E. M. Scheuer,et al.  Reliability of an m-out of-n system when component failure induces higher failure rates in survivors , 1988 .

[32]  Hoang Pham Reliability analysis of a high voltage system with dependent failures and imperfect coverage , 1992 .

[33]  W. Nelson Accelerated Life Testing - Step-Stress Models and Data Analyses , 1980, IEEE Transactions on Reliability.

[34]  S. Amari,et al.  Closed-form expressions for distribution of sum of exponential random variables , 1997 .

[35]  Shakil Akhtar Comment on "Modeling a shared-load k-out-of-n*G system , 1992 .

[36]  J. Newton Comment on "Modeling a shared-load k-out-of-n:G system , 1993 .

[37]  Kailash C. Kapur,et al.  Reliability in engineering design , 1977 .

[38]  F. Szidarovszky,et al.  Time-varying failure rates in the availability and reliability analysis of repairable systems , 1995 .

[39]  Bilal M. Ayyub,et al.  Uncertainty Modeling and Analysis in Civil Engineering , 1997 .

[40]  Ravishankar K. Iyer,et al.  A Measurement-Based Model for Workload Dependence of CPU Errors , 1986, IEEE Transactions on Computers.

[41]  L. Lamberson,et al.  Modeling a shared-load k-out-of-n:G system , 1991 .

[42]  Yung-Terng Wang,et al.  Load Sharing in Distributed Systems , 1985, IEEE Transactions on Computers.

[43]  Bernard D. Coleman,et al.  Time Dependence of Mechanical Breakdown in Bundles of Fibers. II. The Infinite Ideal Bundle under Linearly Increasing Loads , 1957 .

[44]  Bengt Klefsjö,et al.  Proportional hazards model: a review , 1994 .

[45]  H. Daniels The statistical theory of the strength of bundles of threads. I , 1945, Proceedings of the Royal Society of London. Series A. Mathematical and Physical Sciences.

[46]  W. Van Paepegem,et al.  Effects of Load Sequence and Block Loading on the Fatigue Response of Fiber-Reinforced Composites , 2002 .

[47]  S. L. Phoenix,et al.  The Chain-of-Bundles Probability Model For the Strength of Fibrous Materials I: Analysis and Conjectures , 1978 .

[48]  T. Yincai,et al.  Commentary: the Khamis/Higgins model , 2003 .

[49]  G. K. Bhattacharyya,et al.  A tampered failure rate model for step-stress accelerated life test , 1989 .

[50]  K. Misra Reliability Analysis and Prediction: A Methodology Oriented Treatment , 1992 .

[51]  Toshio Nakagawa,et al.  Shock and Damage Models in Reliability Theory , 2006 .

[52]  Z. Jelinski,et al.  Software reliability Research , 1972, Statistical Computer Performance Evaluation.

[53]  Dimitri Kececioglu,et al.  Reliability of Two Load-Sharing Weibullian Units , 1986 .

[54]  Wagner de Souza Borges,et al.  On the limiting distribution of the failure time of fibrous materials , 1983 .

[55]  Jye-Chyi Lu,et al.  Weibull extensions of the Freund and Marshall-Olkin bivariate exponential models , 1989 .

[56]  Pike Mc,et al.  A method of analysis of a certain class of experiments in carcinogenesis. , 1966 .

[57]  S. Phoenix The Asymptotic Time to Failure of a Mechanical System of Parallel Members , 1978 .

[58]  R. L. Smith,et al.  LOWER TAIL ANALYSIS OF THE DISTRIBUTION OF THE STRENGTH OF LOAD-SHARING SYSTEMS , 1983 .

[59]  W. Meeker Accelerated Testing: Statistical Models, Test Plans, and Data Analyses , 1991 .

[60]  Ravishankar K. Iyer,et al.  Effect of System Workload on Operating System Reliability: A Study on IBM 3081 , 1985, IEEE Transactions on Software Engineering.

[61]  W. I. Newman,et al.  Time-dependent fiber bundles with local load sharing. , 2001, Physical review. E, Statistical, nonlinear, and soft matter physics.

[62]  Moshe Shaked,et al.  Extensions of the Freund Distribution with Applications in Reliability Theory , 1984, Oper. Res..

[63]  S. Leigh Phoenix,et al.  STATISTICAL STRENGTH OF A TWISTED FIBER BUNDLE: AN EXTENSION OF DANIELS EQUAL-LOAD-SHARING PARALLEL BUNDLE THEORY , 2006 .

[64]  E. Peña,et al.  Estimating Load-Sharing Properties in a Dynamic Reliability System , 2005, Journal of the American Statistical Association.

[65]  George A. Kardomateas,et al.  An introduction to fatigue in metals and composites , 1996 .

[66]  I. Olkin,et al.  A Multivariate Exponential Distribution , 1967 .

[67]  Sivasambu Mahesh,et al.  Lifetime distributions for unidirectional fibrous composites under creep-rupture loading , 2004 .

[68]  Bernard D. Coleman,et al.  Time Dependence of Mechanical Breakdown in Bundles of Fibers. I. Constant Total Load , 1957 .

[69]  Mohamed T. Madi Multiple step-stress accelerated life test: the tampered failure rate model , 1993 .

[70]  Richard L. Smith The Asymptotic Distribution of the Strength of a Series-Parallel System with Equal Load-Sharing , 1982 .

[71]  William H. Press,et al.  Numerical Recipes in C, 2nd Edition , 1992 .

[72]  Dennis Day,et al.  The multivariate Polya distribution in combat modeling , 2001 .

[73]  Luke Tierney,et al.  Asymptotic bounds on the time to fatigue failure of bundles of fibers under local load sharing , 1982, Advances in Applied Probability.

[74]  Il-Min Kim,et al.  Exact BER analysis of OSTBCs in spatially correlated MIMO channels , 2006, IEEE Transactions on Communications.

[75]  S.D. Blostein,et al.  Maximal-ratio eigen-combining: a performance analysis , 2004, Canadian Journal of Electrical and Computer Engineering.

[76]  John B. Rundle,et al.  Statistical physics approach to understanding the multiscale dynamics of earthquake fault systems , 2003 .

[77]  S. L. Phoenix,et al.  Recursions and limit theorems for the strength and lifetime distributions of a fibrous composite , 1987, Journal of Applied Probability.

[78]  M. Vangel System Reliability Theory: Models and Statistical Methods , 1996 .