Hidden Markovian Chain Based Occurrence Time Prediction for GSM-R Down Fault
GSM for Railways (GSM-R) is a wireless mobile network used for train-ground communication. Down is one of the main faults in the routine of train running. It is a procedure inherently composed of several degradation levels, which was formulated as a Hidden Markovian Chain (HMC). In the framework of HMC, a scheme based on viterbi algorithm and absorption probability was proposed to predict occurrence time of GSM-R down fault. Distinguished to its static version, there was a correction mechanism based on current GSM-R quality, which modi.ed the prediction dynamically. The effectiveness of the scheme was testi.ed by simulations, revealing that it possesses more accuracy than its static version and the de.ection is restrained in a rational level.
Fault Prediction Hidden Markovian Chain Rayleigh Distribution Viterbi Algorithm Stochastic Discrete Event Systems
Ming Chang Yindong Ji Wei Dong Zengke Zhang
Department of Automation, Tsinghua University, Beijing, P. R. China Research Institute of Information Technology, Tsinghua University, Beijing, P. R. China
国际会议
2011 China Control and Decision Conference(2011中国控制与决策会议 CCDC)
四川绵阳
英文
75-80
2011-05-23(万方平台首次上网日期,不代表论文的发表时间)