A Feature Extraction Method Based on Wavelet Packet and Discrete Cosine Transform for Gearbox Fault Diagnosis

摘要：

A new feature extraction method based on wavelet packet and discrete cosine transform for gearbox fault diagnosis was proposed in this paper. Firstly,the gearbox vibration signals were de-noise and decomposed into various frequencies width subspace based on wavelet packet. Then a new fault feature parameters based on discrete cosine transform coefficients for each sub-space were proposed to evaluate gearbox fault advancement quantitatively. Finally,we test our method with three faults signals. We found that these parameters can correctly indicate early gearbox fault. For a comparison,the advantages and disadvantages of tradition feature parameter is also discussed and compare two method results. The results show that the proposed method has better diagnosis effect for early fault.

关键词： Gearbox Fault Diagnosis Wavelet Packet Discrete Cosine Transform

作者: Yuan Ju-Mei Pan Hong-Xia

作者单位: Mechanical Engineering & Automation College,North University of China,China

会议类型: 国际会议

会议名称: 2011 International Conference on Opto-Electronics Engineering and Information Science(2011光电电子工程与信息科学国际会议 ICOEIS 2011)

会议地点: 西安

会议语种:英文

页码: 267-271

在线出版日期: 2011-12-23（万方平台首次上网日期，不代表论文的发表时间）