Touch screen-based motor bearing fault diagnosis

摘要：

A combined method with wavelet packet and BP neural network based on touch screen for motor bearing fault diagnosis is presented. Firstly, this method uses the time-frequency technology of wavelet packet for the feature extraction of motor vibration signals. Secondly, BP neural network is designed based on energy feature vector, and the algorithm is realized with MATLAB software. Finally, diagnostic results are displayed on the touch screen, which is based on three typical running states of motor rotor system. Simulation studies show that the proposed algorithm is reliable, and efficient.

关键词： Fault Diagnosis Wavelet Packet Analysis BP Neural Network Touch Screen

作者: Lijun Fu Zhenhai Qian Yan Tang Meichen Zhu Hongbin Liu

作者单位: School of Information Science and Engineering, Shenyang Ligong University, Shenyang 110159 Measurement and Testing Institute of Benxi, Benxi117000, China

会议类型: 国际会议

会议名称: The 24th Chinese Control and Decision Conference (第24届中国控制与决策学术年会 2012 CCDC)

会议地点: 太原

会议语种:英文

页码: 2287-2292

在线出版日期: 2012-05-23（万方平台首次上网日期，不代表论文的发表时间）