A bearing fault diagnosis using wavelet envelope spectrum based on full vector spectrum technology

摘要：

　　Wavelet envelope demodulation method can distinguish the fault information from complex bearing vibration signal.However, traditional signal analysis method, which is solely based on a single source data, is imperfect.In this paper, an approach to wavelet packet and envelope analysis based on full vector spectrum technology was proposed.Firstly, two different data from the same source were respectively decomposed and recomposed by wavelet packet transform.Then, in order to improve the accuracy of detecting fault, the recomposed signals were merged by using the full vector spectrum method.Compared to the traditional signal analysis method, the advantage of the new method is presented by showing their application to bearings.Finally, results from the bearing vibration signal analysis show that the new approach is more effective because of its inheritance and all-sided feature.

关键词： Full vector spectrum Wavelet packet transform Hilbert spectrum Bearing fault diagnosis

作者: Xiaoyun Gong Jie Han Hong Chen Wenping Lei

作者单位: Research Institute of Vibration Engineering,Zhengzhou University,Zhengzhou 450001,China

会议类型: 国际会议

会议名称: the 3nd International Conference on Digital Manufacturing & Automation (第三届数字制造与自动化国际会议(ICDMA 2012))

会议地点: 桂林

会议语种:英文

页码: 873-879

在线出版日期: 2012-08-01（万方平台首次上网日期，不代表论文的发表时间）