A change point detection integrated remaining useful life estimation model under variable operating conditions

• Main Authors: Arunan, Anushiya, Qin, Yan, Li, Xiaoli, Yuen, Chau
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2024
• Subjects: Engineering; Temporal dynamics learning; Change point detection
• Online Access: https://hdl.handle.net/10356/177960
• Institution: Nanyang Technological University

By informing the onset of the degradation process, health status evaluation serves as a significant preliminary step for reliable remaining useful life (RUL) estimation of complex equipment. This paper proposes a novel temporal dynamics learning-based model for detecting change points of individu...