Degradation-Based Reliability Modeling of Complex Systems in Dynamic Environments
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[1] Yili Hong,et al. Reliability Meets Big Data: Opportunities and Challenges , 2014 .
[2] Yili Hong,et al. Statistical Methods for Degradation Data With Dynamic Covariates Information and an Application to Outdoor Weathering Data , 2015, Technometrics.
[3] Anne-Catherine Favre,et al. Bayesian copula selection , 2006, Comput. Stat. Data Anal..
[4] Weiwen Peng,et al. Bivariate Analysis of Incomplete Degradation Observations Based on Inverse Gaussian Processes and Copulas , 2016, IEEE Transactions on Reliability.
[5] Qianmei Feng,et al. Reliability analysis of multiple-component series systems subject to hard and soft failures with dependent shock effects , 2016 .
[6] Zhigang Tian,et al. A framework for predicting the remaining useful life of a single unit under time-varying operating conditions , 2013 .
[7] Chanseok Park,et al. Stochastic degradation models with several accelerating variables , 2006, IEEE Transactions on Reliability.
[8] Xiaobing Ma,et al. Reliability Modeling for Systems with Multiple Degradation Processes Using Inverse Gaussian Process and Copulas , 2014 .
[9] Xin Xu,et al. A Hierarchical Model for Lithium-Ion Battery Degradation Prediction , 2016, IEEE Transactions on Reliability.
[10] Nagi Gebraeel,et al. Stochastic framework for partially degradation systems with continuous component degradation‐rate‐interactions , 2014 .
[11] G. A. Whitmore,et al. Threshold Regression for Survival Analysis: Modeling Event Times by a Stochastic Process Reaching a Boundary , 2006, 0708.0346.
[12] Suk Joo Bae,et al. A Nonlinear Random-Coefficients Model for Degradation Testing , 2004, Technometrics.
[13] Min Xie,et al. Stochastic modelling and analysis of degradation for highly reliable products , 2015 .
[14] Bo Guo,et al. Residual life estimation based on nonlinear-multivariate Wiener processes , 2015 .
[15] Jeffrey P. Kharoufeh,et al. Semi-Markov models for degradation-based reliability , 2010 .
[16] Fabrizio Durante,et al. Copula Theory and Its Applications , 2010 .
[17] Steven M. Cox,et al. Stochastic models for degradation-based reliability , 2005 .
[18] Peng Wang,et al. Reliability prediction based on degradation modeling for systems with multiple degradation measures , 2004, Annual Symposium Reliability and Maintainability, 2004 - RAMS.
[19] A. Yashin,et al. Effects of Unobserved and Partially Observed Covariate Processes on System Failure: A Review of Models and Estimation Strategies , 1997 .
[20] Nozer D. Singpurwalla,et al. Survival in Dynamic Environments , 1995 .
[21] Sallie Keller-McNulty,et al. Testing the untestable: reliability in the 21st century , 2003, IEEE Trans. Reliab..
[22] Nagi Gebraeel,et al. Stochastic modeling and real-time prognostics for multi-component systems with degradation rate interactions , 2014 .
[23] R. Nelsen. An Introduction to Copulas , 1998 .
[24] David W. Coit,et al. Reliability Analysis for Multi-Component Systems Subject to Multiple Dependent Competing Failure Processes , 2014, IEEE Transactions on Reliability.
[25] Quan Sun,et al. Lifetime Distribution and Associated Inference of Systems with Multiple Degradation Measurements Based on Gamma Processes , 2016 .
[26] Qiang Miao,et al. Prognostics of lithium-ion batteries based on relevance vectors and a conditional three-parameter capacity degradation model , 2013 .
[27] M. Nikulin,et al. Estimation in Degradation Models with Explanatory Variables , 2001, Lifetime data analysis.
[28] Z. Ye,et al. How do heterogeneities in operating environments affect field failure predictions and test planning , 2013, 1401.2282.
[29] Yaping Wang,et al. Modeling the Dependent Competing Risks With Multiple Degradation Processes and Random Shock Using Time-Varying Copulas , 2012, IEEE Transactions on Reliability.
[30] W. J. Padgett,et al. Accelerated Degradation Models for Failure Based on Geometric Brownian Motion and Gamma Processes , 2005, Lifetime data analysis.
[31] Mark E. Oxley,et al. Reliability of manufacturing equipment in complex environments , 2013, Ann. Oper. Res..
[32] Shaomin Wu,et al. Construction of Asymmetric Copulas and Its Application in Two-Dimensional Reliability Modelling , 2014, Eur. J. Oper. Res..
[33] Nagi Gebraeel,et al. Degradation modeling for real-time estimation of residual lifetimes in dynamic environments , 2015 .
[34] Luis A. Escobar,et al. Accelerated degradation tests: modeling and analysis , 1998 .
[35] Markus Junker,et al. Elliptical copulas: applicability and limitations , 2003 .
[36] Wenxing Zhou,et al. Optimal condition-based maintenance decisions for systems with dependent stochastic degradation of components , 2014, Reliab. Eng. Syst. Saf..
[37] Guang Jin,et al. Measurement Plan Optimization for Degradation Test Design based on the Bivariate Wiener Process , 2014, Qual. Reliab. Eng. Int..
[38] Weiwen Peng,et al. Reliability of complex systems under dynamic conditions: A Bayesian multivariate degradation perspective , 2016, Reliab. Eng. Syst. Saf..
[39] Nan Chen,et al. A new class of Wiener process models for degradation analysis , 2015, Reliab. Eng. Syst. Saf..
[40] Zhengqiang Pan,et al. Reliability modeling of degradation of products with multiple performance characteristics based on gamma processes , 2011, Reliab. Eng. Syst. Saf..
[41] Dorota Kurowicka,et al. Dependence Modeling: Vine Copula Handbook , 2010 .
[42] N. Balakrishnan,et al. Bivariate degradation analysis of products based on Wiener processes and copulas , 2013 .
[43] Donghua Zhou,et al. Remaining useful life estimation - A review on the statistical data driven approaches , 2011, Eur. J. Oper. Res..
[44] Weiwen Peng,et al. Inverse Gaussian process models for degradation analysis: A Bayesian perspective , 2014, Reliab. Eng. Syst. Saf..
[45] Mikhail Nikulin,et al. Statistical Models to Analyze Failure, Wear, Fatigue, and Degradation Data with Explanatory Variables , 2009 .
[46] M. Crowder,et al. Covariates and Random Effects in a Gamma Process Model with Application to Degradation and Failure , 2004, Lifetime data analysis.
[47] Nan Chen,et al. The Inverse Gaussian Process as a Degradation Model , 2014, Technometrics.
[48] William Q. Meeker,et al. Estimation of Degradation-Based Reliability in Outdoor Environments , 2001 .
[49] Loon Ching Tang,et al. Bivariate constant stress degradation model: LED lighting system reliability estimation with two‐stage modelling , 2009, Qual. Reliab. Eng. Int..
[50] Suk Joo Bae,et al. Degradation models and implied lifetime distributions , 2007, Reliab. Eng. Syst. Saf..
[51] Donghua Zhou,et al. A Residual Storage Life Prediction Approach for Systems With Operation State Switches , 2014, IEEE Transactions on Industrial Electronics.
[52] Tongmin Jiang,et al. A Bayesian reliability evaluation method with integrated accelerated degradation testing and field information , 2013, Reliab. Eng. Syst. Saf..
[53] Nagi Gebraeel,et al. A switching diffusion model for lifetime estimation in randomly varying environments , 2014 .
[54] Debasis Kundu,et al. Bivariate Birnbaum-Saunders distribution and associated inference , 2010, J. Multivar. Anal..
[55] Zhengqiang Pan,et al. Optimal Design for Step-Stress Accelerated Degradation Test with Multiple Performance Characteristics Based on Gamma Processes , 2014, Commun. Stat. Simul. Comput..
[56] Haitao Liao,et al. Reliability inference for field conditions from accelerated degradation testing , 2006 .
[57] Z. Pan,et al. Reliability modeling of systems with two dependent degrading components based on gamma processes , 2016 .
[58] B. Guo,et al. Residual life estimation based on bivariate Wiener degradation process with time-scale transformations , 2014 .
[59] N. Balakrishnan,et al. Residual life estimation based on bivariate non-stationary gamma degradation process , 2015 .