Hongsheng Su1,2,∗, Shuangshuang Wang1, Dengfei Wang2
Computer Systems Science and Engineering, Vol.33, No.5, pp. 351-360, 2018, DOI:10.32604/csse.2018.33.351
Abstract To better solve the issue with abnormal failure of electric motor unit (EMU) brake pad resulted from various random factors in the ever-changing operating
environment, in this paper, a new evaluation method of performance prediction and abnormity decision is proposed based on the Multivariate integrated
random walk (MIRW) model. In this method, the state space model of the EMU brake pad performance degradation is firstly established. And then based on
the observed data, the brake pad performance degradation trend is extracted by the fixed interval forward - backward smoothing algorithm. Based on it, the
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