A Neural Network Audio Fault Diagnosis System Based on Wavelet Transform

摘要：

In this text, a new efficient audio fault diagnosis system based on wavelet transform and neural network is presented. The back-ground of wavelet transform and an improved BP algorithm are introduced. The proposed fault diagnosis system is applied to audio of electromotor and the results show that this developed system is effective. Because the wavelet analysis is especially for processing a non-stationary and it is better than FFT, we think that this system will have a good foreground.

作者: Conggui Yuan Xinzheng Zhang Huifang Mo

作者单位: Faculty of Automation Guangdong University of Technology;College of Science and Trade Guang-zhou Uni Faculty of Mechanical and Electronic College of Science and Trade Guang- zhou University Guangzhou,5

会议类型: 国际会议

会议名称: Fourth International Conference on Impulsive and Hybrid Dynamical Systems(ICIHDS 2007)(第四届国际脉冲和混合动力系统学术会议)

会议地点: 南宁

会议语种:英文

在线出版日期: 2007-07-20（万方平台首次上网日期，不代表论文的发表时间）