Title :
Fault diagnosis and tolerance control for accelerator in maglev system based on signal processing
Author :
Xiaolong Li ; Zhiqiang Wang ; Aming Hao ; Zhiqiang Long
Author_Institution :
Eng. Res. Center of Maglev Technol., Nat. Univ. of Defense Technol., Changsha, China
Abstract :
A new style tracking-differentiator based on border characteristics is applied in the Fault Diagnosis and Active Fault Tolerance problem for accelerator in maglev system. The integral of accelerator signal is compared with the differential of gap signal, and the difference is used to obtain the decision variable and threshold according to Bayes´s decision theory. When fault occurs, integral of accelerator signal is switched by differential of gap signal as the feedback. Simulation result shows that the diagnosis is fast enough, the switch of feedback signal has no influence on the stability of the system and the fluctuation during the switch process is small.
Keywords :
Bayes methods; accelerometers; decision theory; fault diagnosis; fault tolerance; feedback; magnetic levitation; signal processing; Bayes decision theory; Maglev system; accelerator; decision variable; fault diagnosis; fault tolerance control; feedback signal; gap signal; signal processing; tracking-differentiator; Accelerometers; Electromagnets; Fault diagnosis; Fault tolerance; Fault tolerant systems; Suspensions; Switches; Accelerator fault; active fault tolerance control; fault diagnosis; tracking-differentiator;
Conference_Titel :
Prognostics and System Health Management Conference (PHM-2014 Hunan), 2014
Conference_Location :
Zhangiiaijie
Print_ISBN :
978-1-4799-7957-8
DOI :
10.1109/PHM.2014.6988148
