Signal Processing By Energy Normalization Method Based On Wavelet Packet

摘要：

Fault diagnosis is a key technology to ensure safe and reliable operation of large electromechanical equipments.Fault feature extraction is important in fault diagnosis process.For non-stationary vibration signal,energy normalization method based on wavelet packet is used to make signal processing with signals decomposed into different frequency bands to perform energy normalization process in corresponding frequency band so as to extract fault feature.Flue Gas Turbine is chosen as research object and analysis shows that energy normalization processing method based on wavelet packet can effectively extract non-stationary signal characteristic parameters and make effective nondestructive testing analysis of equipments condition.

关键词： Wavelet Packet Energy Normalization Signal Processing Feature Eztraction

作者: CHEN Tao XU Xiao-li WANG Shao-hong

作者单位: Beijing Institute of Technology,Beijing,China,100081 Beijing Institute of Technology,Beijing,China,100081 Beijing Information Science & Technology Univer

会议类型: 国际会议

会议名称: The 8th International Conference on Damage Assessment of Structures(DAMAS 2009)(第八届结构损伤评价国际学术会议)

会议地点: 北京

会议语种:英文

页码: 613-619

在线出版日期: 2009-08-03（万方平台首次上网日期，不代表论文的发表时间）