Remaining useful life estimation for micro switches of railway vehicles. (March 2019)

• Record Type: Journal Article
• Authors: Zhang, Bangcheng; Sui, Yuankun; Bu, Qianying; He, Xiao
• Is Part Of: Control engineering practice. Volume 84(2019)
• Page Start: 82
• Page End: 91
• Publication Date: 2019-03
• Subjects: Remaining useful life -- Stochastic degradation model -- Strong tracking filter -- Bayesian updating -- Micro switches; Automatic control -- Periodicals; 629.89
• DOI: 10.1016/j.conengprac.2018.10.010
• Languages: English
• ISSNs: 0967-0661

Abstract

Abstract: Micro switches are widely used in modern control systems, and the reliability of each micro switch may be of great significance to the whole system. Remaining useful life of micro switches is an essential index evaluating their reliability in operation, and the real-time estimation can prevent system failure in a more controllable manner. In this paper, Bayesian updating and expectation maximization are combined to achieve the remaining useful life estimation. Additionally, strong tracking filtering technique is employed to improve the adaptive update capability. The effectiveness of the method is illustrated from an experiment of a micro switch for rail vehicles. Highlights: A micro switch test rig is established, and the test data is obtained. A stochastic deterioration process analysis for RUL estimation is proposed. Based on STF, residual errors are used to adjust parameters in time and the accuracy of estimation is guaranteed.