TY - GEN
T1 - Simulation and diagnosis of degradation failure on electromagnetic relay
AU - Ye, Xuerong
AU - Fu, Rao
AU - Wu, Yang
AU - Lin, Yigang
AU - Zhai, Guofu
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/10/20
Y1 - 2017/10/20
N2 - Electromagnetic relay has a high failure rate, which is the severely afflicted area where components and parts easily lose efficacy in the electronic system. Monitoring and evaluation of relay status in key positions are a crucial method to improve operational reliability. Degradation is the significant cause for failure of electromagnetic relay. However, owing to few researches concerning degradation failure of relay at present, lacking of degradation data and ambiguity of degradation characteristics have already become the main factors restricting PHM application of relay. Aiming at this problem, this paper conducted a degradation failure of electromagnetic relay simulation based on the Virtual Prototyping Technology, obtained valuable failure data, and built state space of failure data, in order to extract the fault feature data and realize the diagnosis of failure type. This paper owns a certain practical significance for studying characterization of degradation state of relay, as well as its PHM application.
AB - Electromagnetic relay has a high failure rate, which is the severely afflicted area where components and parts easily lose efficacy in the electronic system. Monitoring and evaluation of relay status in key positions are a crucial method to improve operational reliability. Degradation is the significant cause for failure of electromagnetic relay. However, owing to few researches concerning degradation failure of relay at present, lacking of degradation data and ambiguity of degradation characteristics have already become the main factors restricting PHM application of relay. Aiming at this problem, this paper conducted a degradation failure of electromagnetic relay simulation based on the Virtual Prototyping Technology, obtained valuable failure data, and built state space of failure data, in order to extract the fault feature data and realize the diagnosis of failure type. This paper owns a certain practical significance for studying characterization of degradation state of relay, as well as its PHM application.
KW - electromagnetic relay
KW - failure characteristics
KW - failure data
KW - state space
UR - https://www.scopus.com/pages/publications/85039945148
U2 - 10.1109/PHM.2017.8079301
DO - 10.1109/PHM.2017.8079301
M3 - 会议稿件
AN - SCOPUS:85039945148
T3 - 2017 Prognostics and System Health Management Conference, PHM-Harbin 2017 - Proceedings
BT - 2017 Prognostics and System Health Management Conference, PHM-Harbin 2017 - Proceedings
A2 - Zhang, Bin
A2 - Peng, Yu
A2 - Liao, Haitao
A2 - Liu, Datong
A2 - Wang, Shaojun
A2 - Miao, Qiang
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 8th IEEE Prognostics and System Health Management Conference, PHM-Harbin 2017
Y2 - 9 July 2017 through 12 July 2017
ER -