Fault detection for stochastic time-varying systems based on adaptive disturbance rejection observers

• Published in: 工程科学学报 Vol. 47; no. 6; pp. 1297 - 1302
• Main Authors: Wenli ZHANG, Anning LIU, Jiantao SHI
• Format: Journal Article
• Language: Chinese
• Published: Science Press 01.06.2025
• Subjects: adaptive state estimation; disturbance rejection observer; fault detection; stochastic system; time-varying system
• ISSN: 2095-9389
• DOI: 10.13374/j.issn2095-9389.2024.06.17.002

The scale and complexity of modern industrial systems, along with their construction and operational costs, are continuously increasing, making the reliability and safety of equipment operation extremely critical. Owing to the highly interconnected and coupled nature of these systems, faults can spread quickly, disrupting operations, destabilizing equipment, and potentially causing major accidents. Fault detection technology is, therefore, essential to ensure the reliable operation of equipment and modern industrial systems. Industrial systems and equipment are inevitably affected by random disturbances, which can degrade the performance of nominal controllers and potentially lead to control algorithm failures and system instability. To effectively address control and fault detection challenges in complex systems, it is crucial to systematically analyze the impact of unknown disturbances. This paper focuses on the state estimation problem for time-varying stochastic systems subject to unknown disturbances. Pr