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Hidden Markovian Chain based occurrence time prediction for GSM-R down fault

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4 Author(s)
Ming Chang ; Dept. of Autom., Tsinghua Univ., Beijing, China ; Yindong Ji ; Wei Dong ; Zhang, Z.

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 modified the prediction dynamically. The effectiveness of the scheme was testified by simulations, revealing that it possesses more accuracy than its static version and the deflection is restrained in a rational level.

Published in:

Control and Decision Conference (CCDC), 2011 Chinese

Date of Conference:

23-25 May 2011