The Statistical Data-driven Remaining Useful Life Prediction—A Review on the Wiener Process-based Method

Abstract

Prognostics and health management (PHM) is a core technology in the domain of reliability, and it has got extensive acclamation and application. The statistical data-driven method prediction method has become a popular hotspot of research in recent years since it only considers the condition monitoring data and relevant degradation information. As one of the data-driven remaining useful life (RUL) prediction methods, the Wiener process-based method is commonly used. Considering the uncertainty existing in the degradation process for the equipment or device, this paper summarizes the statistical data-driven method and focuses on the Wiener process-based method. Finally, some urgent issues to be addressed in the future are discussed.