Bearing Vibration Signal Analysis Based on Chirplet Transform

摘要：

A method based on the fast adaptive chirplet transform is presented for bearing vibration signal analysis. Based on parameters coarse estimation, it converts multi-dimension optimization process to a traditional curve-fitting problem. This method is not only free of cross-term interference, but also maintains good time-frequency resolution. In addition, as a result of fewer inner product calculations are conducted, the computational speed is fast and parameters estimation is more accurate. The experimental results show that the algorithm can efficiently extract the time-frequency characteristics of the fault signals, and the effect is better than other time-frequency methods. Therefore, it is an efficient fault diagnosis method.

关键词： vibration signal analysis time-frequency analysis chirplet transform bearing fault diagnosis

作者: Gao Qingwei Lu Yixiang Zhao Yanfei

作者单位: Key Laboratory of Intelligent Computing & Signal Processing,Ministry of Education,Anhui University,H Institute of Electronic Science and Technology of Anhui University,Hefei 230039 China

会议类型: 国际会议

会议名称: 第八届国际电子测量与仪器学术会议(Proceedings of 2007 8th International Conference on Electronic Measurement & Instruments)

会议地点: 西安

会议语种:英文

在线出版日期: 2007-08-16（万方平台首次上网日期，不代表论文的发表时间）