A Fault Diagnosis Method of the Two-dimension Image Fractal Theory Based on Time-frequency Image

摘要：

The feature extracting is an important, difficult step in the fault diagnosis processing through the analysis of plant vibrations, essentially because of the strong nonlinearity of the vibration signals collected from machine. Fourier analysis is unable to describe the time-frequency(T-F) localized characteristic because it is global transform. Here, we adopt a new time-frequency methods--Local wave method, to analysis the fault vibration signals. Because the Local wave T-F spectrum can be showed in the gray image, so the fault features were extracted using the fractal dimension and moment invariants for the two-dimension local wave T-F images. The experiments show that this method is feasible.

关键词： fractal dimension feature extracting moment invariants Fault Diagnosis1 Local wave method T-F spectrum RBF.

作者: LIN Tian HAO Zhi-hua LI Bing

作者单位: Department of Computer and Automatic Control, Hebei Polytechnic University of China, TangShan, 06300 Tangshan College of China, TangShan, 063009.

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）