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所属单位：自动化学院
发表刊物：IEEE Trans. Veh. Technol.
摘要：This paper develops a sensor fault detection scheme for rail vehicle passive suspension systems, using a fault detection observer, in the presence of uncertain track regularity and vehicle noises that are modeled as external disturbances and stochastic process signals. To design the fault detection observer, the suspension system states are augmented with the disturbances treated as new states, leading to an augmented and singular system with stochastic noises. Using system output measurements, the observer is designed to generate the needed residual signal for fault detection. Existence conditions for observer design are analyzed and illustrated. In term of the residual signal, both fault detection threshold and fault detectability condition are obtained, to form a systematic detection algorithm. Simulation results on a realistic vehicle system model are presented to illustrate the observer behavior and fault detection performance. © 1967-2012 IEEE.
ISSN号：0018-9545
是否译文：否
发表时间：2017-06-01
合写作者：Zhan, Yanhao,Tao, Gang,姜斌,Yan, Xing-Gang
通讯作者：Tao, Gang,姜斌,冒泽慧