The Research Based on Empirical Mode Decomposition in Bearing Fault Diagnosis

摘要：

Comparing with many modern signal processing methods in the bearing fault diagnosis, Hilbert-Huang transform is proposed which has good resolving power, and is adapt to process non-stationary, nonlinear and no cross-interference signals. Experimental bearing vibration signals have been analyzed by using this method, whose impulse response waveform was effectively separated from the signals. The results show that the sensitivity and reliability of the method are satisfactory.

关键词： Bearing Failure Empirical Mode Decomposition Frequency

作者: Tongle Xu Xuezheng Lang Xinyi Zhang Xincai Pei

作者单位: Shandong Provincial Key Laboratory of Precision Manufacturing andonraditionalMachining,Shandong Univ Shandong Provincial Key Laboratory of Precision Manufacturing and Non-traditional Machining,Shandong Shandong Provincial Key Laboratory of Precision Manufacturing and Non-traditional Machining,Shandong

会议类型: 国际会议

会议名称: The 3th International Conference on Precision Instrumentation and Measurement 2011(CPIM2011)(第三届精密仪器与测量国际学术会议)

会议地点: 湘潭

会议语种:英文

页码: 225-228

在线出版日期: 2011-07-19（万方平台首次上网日期，不代表论文的发表时间）