TY - GEN
T1 - Health assessment method for core components of switching quantity interface circuit based on active excitation test
AU - Xu, Peiyang
AU - Jia, Long
AU - Ma, Jian
AU - Chen, Chang
AU - Chen, Wei
AU - Lan, Chunyun
AU - Zou, Xinyu
AU - Li, Tianhao
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - As power electronics technology continues to advance, the prevalence of switching quantity interface circuits has grown in diverse domains, encompassing industrial production and everyday civilian applications. An analysis of operational data from these circuits, along with an assessment of their overall health, proves instrumental in the timely detection and resolution of operational anomalies. This holds paramount significance in upholding the reliability of these interface circuits. Nevertheless, tracking the degradation trajectory of the core components during their operational lifespan poses a challenge. Typically, only two states, normal and abnormal, are readily discernible, making direct health assessment elusive. To address this issue, this study introduces a health assessment methodology for the fundamental components of switch quantity interface circuits based on active excitation testing. Through the application of active excitation, the performance decay profile of the optical coupler is ascertained, solving the problem of capturing the degradation process within these circuits. This approach facilitates the stable and precise characterization of the health status of switching quantity interface circuits. The health assessment method presented in this paper is characterized by modest computational resource demands and a reduced reliance on expert knowledge. It is adept at quantitatively delineating the health status of switch-quantity interface circuits with precision, thereby offering guidance for the maintenance and replacement of pivotal electronic components within these circuits. In doing so, it contributes to the assurance of operational dependability and an extension of the service life of switch quantity interface circuits.
AB - As power electronics technology continues to advance, the prevalence of switching quantity interface circuits has grown in diverse domains, encompassing industrial production and everyday civilian applications. An analysis of operational data from these circuits, along with an assessment of their overall health, proves instrumental in the timely detection and resolution of operational anomalies. This holds paramount significance in upholding the reliability of these interface circuits. Nevertheless, tracking the degradation trajectory of the core components during their operational lifespan poses a challenge. Typically, only two states, normal and abnormal, are readily discernible, making direct health assessment elusive. To address this issue, this study introduces a health assessment methodology for the fundamental components of switch quantity interface circuits based on active excitation testing. Through the application of active excitation, the performance decay profile of the optical coupler is ascertained, solving the problem of capturing the degradation process within these circuits. This approach facilitates the stable and precise characterization of the health status of switching quantity interface circuits. The health assessment method presented in this paper is characterized by modest computational resource demands and a reduced reliance on expert knowledge. It is adept at quantitatively delineating the health status of switch-quantity interface circuits with precision, thereby offering guidance for the maintenance and replacement of pivotal electronic components within these circuits. In doing so, it contributes to the assurance of operational dependability and an extension of the service life of switch quantity interface circuits.
KW - Gaussian mixture model
KW - active motivation test
KW - health assessment
KW - optical coupler
KW - switching interface circuit
UR - https://www.scopus.com/pages/publications/85212269110
U2 - 10.1109/ICRMS59672.2023.00093
DO - 10.1109/ICRMS59672.2023.00093
M3 - 会议稿件
AN - SCOPUS:85212269110
T3 - Proceedings - 2023 14th International Conference on Reliability, Maintainability and Safety, ICRMS 2023
SP - 490
EP - 494
BT - Proceedings - 2023 14th International Conference on Reliability, Maintainability and Safety, ICRMS 2023
A2 - Ren, Liming
A2 - Wong, W. Eric
A2 - Cheng, Hailong
A2 - Li, Xiaopeng
A2 - Wang, Shu
A2 - Liu, Kanglun
A2 - Li, Ruifeng
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 14th International Conference on Reliability, Maintainability and Safety, ICRMS 2023
Y2 - 26 August 2023 through 29 August 2023
ER -