Application of Frequency-Domain Blind Deconvolution in Mechanical Fault Detection

摘要：

On the basis of summing up the FrequencyDomain Blind Deconvolution (FDBD), a method combine Complex-Domain FastICA algorithm and amplitude correlation was proposed to extract the typical defect signals from mechanical equipment. The application in combined failure rolling bearing acceleration signals demonstrate that, comparing with the existing Time-Domain Blind Signal Processing methods, FDBD has more advantages and better prospects in mechanical fault detection.

关键词： Frequency-Domain Blind Deconvolution Fault Detection Complex-Domain FastICA Vibration Signal Processing

作者: Nan Pan Xing Wu Yilin Chi Chang Liu Xiaoqin Liu

作者单位: Faculty of Mechanical & Electrical Engineering, Kunming University of Science & Technology Kunming, 650093, P.R. China

会议类型: 国际会议

会议名称: 2011 3nd International Conference on Mechanical and Electronics Engineering(2011年第三届机械与电子工程国际会议 ICMEE2011)

会议地点: 合肥

会议语种:英文

页码: 2128-2132

在线出版日期: 2011-09-23（万方平台首次上网日期，不代表论文的发表时间）