TY - JOUR
T1 - Simultaneous diagnosis of open-switch and current sensor faults of inverters in IM drives through reduced-order interval observer
AU - Xu, Shuiqing
AU - Yu, Hongyan
AU - Wang, Hai
AU - Chai, Hui
AU - Ma, Mingyao
AU - Chen, Hongtian
AU - Zheng, Wei Xing
PY - 2025
Y1 - 2025
N2 - This article presents a novel approach for diagnosing open-switch (OS) faults and current sensor (CS) faults in induction motor (IM) drives using a designed reduced-order interval observer. First, the proposed method utilizes system augmentation and decomposition techniques to decouple the OS faults from the original IM drive system. Subsequently, a reduced-order interval observer is innovatively introduced to estimate the state and the CS faults simultaneously. In addition, by leveraging the interval observer, fault detection and identification methods are proposed to effectively diagnose and distinguish between OS faults and CS faults. The key merit of this approach is that not only can both types of faults in IM drives be simultaneously diagnosed without the need for complex classification algorithms, but the robustness and fast fault diagnosis time can be achieved. Experimental results and comparative analysis are put forward to demonstrate the availability of the developed diagnosis algorithm.
AB - This article presents a novel approach for diagnosing open-switch (OS) faults and current sensor (CS) faults in induction motor (IM) drives using a designed reduced-order interval observer. First, the proposed method utilizes system augmentation and decomposition techniques to decouple the OS faults from the original IM drive system. Subsequently, a reduced-order interval observer is innovatively introduced to estimate the state and the CS faults simultaneously. In addition, by leveraging the interval observer, fault detection and identification methods are proposed to effectively diagnose and distinguish between OS faults and CS faults. The key merit of this approach is that not only can both types of faults in IM drives be simultaneously diagnosed without the need for complex classification algorithms, but the robustness and fast fault diagnosis time can be achieved. Experimental results and comparative analysis are put forward to demonstrate the availability of the developed diagnosis algorithm.
KW - Current sensor (CS) faults
KW - fault diagnosis
KW - IM drive system
KW - open-switch (OS) faults
KW - reduced-order interval observer
UR - http://www.scopus.com/inward/record.url?scp=85209255862&partnerID=8YFLogxK
UR - https://go.openathens.net/redirector/westernsydney.edu.au?url=https://doi.org/10.1109/TIE.2024.3485708
U2 - 10.1109/TIE.2024.3485708
DO - 10.1109/TIE.2024.3485708
M3 - Article
AN - SCOPUS:85209255862
SN - 0278-0046
VL - 72
SP - 6485
EP - 6496
JO - IEEE Transactions on Industrial Electronics
JF - IEEE Transactions on Industrial Electronics
IS - 6
ER -