Stochastic prognostics under multiple time-varying environmental factors

• Published in: Reliability engineering & system safety Vol. 215; p. 107877
• Main Authors: Jahani, Salman, Zhou, Shiyu, Veeramani, Dharmaraj
• Format: Journal Article
• Language: English
• Published: Barking Elsevier Ltd 01.11.2021; Elsevier BV
• Subjects: B-spline regression; Bayesian analysis; Bayesian updating; Brownian motion; Condition monitoring; Degradation; Degradation modeling; Drift; Environment models; Environmental conditions; Environmental covariates; Environmental factors; Mathematical models; Relative humidity; Reliability engineering; Remaining useful life estimation; Signal monitoring; Useful life; Bayesian updating; Environmental covariates; Remaining useful life estimation; B-spline regression; Degradation modeling

Prediction of the remaining useful life of in-field components, traditionally, relies on condition monitoring signals which are correlated with the physical degradation of the system. Many models assume that condition monitoring signals behave under similar environmental conditions (e.g. pressure, t...