Abstract
Train wheel hot bearing is the primary cause of cutting-axle fracture and severe hotbox accidents, which poses a great threat to the safety of railway transmission. It is necessary and vital to research and develop the technique of hot bearing detector and corresponding system for maintaining the reliable operation of railway system and meeting the requirement of high speed train. In this paper, based on advanced infrared array sensor, a train hot bearing detection system which adopts master-slaver mode, collects bearing temperature array data and uses Bayesian classifier for hotbox discrimination is established to monitor train wheel hot bearing and the detector itself. It provides possibility to improve the accuracy of hotbox alarm, display the waveform of bearing temperature on 3D and manage the bearing information on whole line.
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