Fault Diagnosis Characteristic Extraction Based on Fractional Fourier Transform and Local Wave Method

摘要：

This paper presents a new approach to machine health monitoring based on Fractional Fourier Transform and Local Wave Method. Since serious noise disturbance exists in time-frequency distribution of the test signals, Fractional Fourier Transform is used for noise reduction. As combined with the Fractional Fourier domain filter, a new decomposition method for Local Wave Method based on Fractional Fourier transform is proposed. This decomposition of signal is realized effectively and extends the application of Local Wave Method. Application indicates that this method is more effective and accurate in extracting fault features from signals.

关键词： fault diagnosis local wave fractional fourier transform characteristic extraction

作者: WANG Lei SU Wensheng WANG Fengtao MA Xiaojiang

作者单位: Key Laboratory for Precision and Non-traditional Machining Technology of Ministry of Education School of Mechanical Engineering, Dalian University of Technology, Dalian, China, 116023

会议类型: 国际会议

会议名称: 第七届国际测试技术研讨会

会议地点: 北京

会议语种:英文

在线出版日期: 2007-08-05（万方平台首次上网日期，不代表论文的发表时间）