A Bayesian Inference for Remaining Useful Life Estimation by Fusing Accelerated Degradation Data and Condition Monitoring Data

• Published in: Reliability engineering & system safety Vol. 208; p. 107341
• Main Authors: Pang, Zhenan, Si, Xiaosheng, Hu, Changhua, Du, Dangbo, Pei, Hong
• Format: Journal Article
• Language: English
• Published: Barking Elsevier Ltd 01.04.2021; Elsevier BV
• Subjects: accelerated degradation data; Accelerometers; Bayesian analysis; Bayesian inference; Condition monitoring; Degradation; diffusion model; Markov chains; Mathematical models; Monte Carlo simulation; non-conjugate prior distribution; Parameters; Reliability engineering; remaining useful life; Statistical inference; Useful life; remaining useful life; diffusion model; Bayesian inference; non-conjugate prior distribution; accelerated degradation data

•Nonlinear model is used to characterize the degradation process.•Accelerated degradation data and condition monitoring data are fused.•Random-effect parameters are modeled as non-conjugate prior distributions.•The approximate life distribution is obtained and validated by practical data. This artic...