《机床与液压》 Hydromechatronics Engineering

文章详情

稿件标题: Diagnosis Algorithm of System Fault Based on Main Feature Pattern in Electromechanical Engineering
稿件作者: WU Qian,ZHOU Qing
关键字词: main feature fusion;,pattern recognition;,fault diagnosis, heavy electromechanical device
文章摘要: In electromechanical engineering, it has very important significance to monitor the running state of device to ensure the system is under a stable and reliable condition and to prevent the occurrence of significant fault. Since the conventional diagnosis method has poor accuracy due to the shortage of fault information, a sort of diagnosis algorithm of system fault is proposed based on main feature information pattern in this paper. The algorithm is based on the information fusion of multi-source feature. The fault diagnosis model is comprehensively studied based on feature fusion of multi-sensors system and the indices system of state feature reflected the system motion and the algorithm of fault diagnosis are fully discussed. In this paper, the fault diagnosis of antifriction bearing system is taken as an example. The feature parameters of time domain in signal gained from each sensor in this system are firstly computed, after that, the fusion and dimension reduction processing for f
收录刊物: 2012.6
稿件基金: This work was supported in part by the National Natural Science Foundation of China ( 61003246) ;The Chongqing Education Committee Project Under Grant ( KJ110805)
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