1. Weak Fault Feature Extraction of Rolling Bearings Based on an Improved Kurtogram
- Author
-
Chen Xianglong, Fuzhou Feng, and Bingzhi Zhang
- Subjects
Engineering ,Feature extraction ,02 engineering and technology ,Fault (power engineering) ,lcsh:Chemical technology ,01 natural sciences ,Biochemistry ,Signal ,kurtogram ,Article ,Analytical Chemistry ,Wavelet packet decomposition ,symbols.namesake ,Aliasing ,0103 physical sciences ,weak fault diagnosis ,0202 electrical engineering, electronic engineering, information engineering ,Electronic engineering ,correlated kurtosis ,redundant second generation wavelet package transform ,lcsh:TP1-1185 ,Electrical and Electronic Engineering ,010301 acoustics ,Instrumentation ,business.industry ,020208 electrical & electronic engineering ,Pattern recognition ,Atomic and Molecular Physics, and Optics ,Fourier transform ,Kurtosis ,symbols ,Transient (oscillation) ,Artificial intelligence ,business - Abstract
Kurtograms have been verified to be an efficient tool in bearing fault detection and diagnosis because of their superiority in extracting transient features. However, the short-time Fourier Transform is insufficient in time-frequency analysis and kurtosis is deficient in detecting cyclic transients. Those factors weaken the performance of the original kurtogram in extracting weak fault features. Correlated Kurtosis (CK) is then designed, as a more effective solution, in detecting cyclic transients. Redundant Second Generation Wavelet Packet Transform (RSGWPT) is deemed to be effective in capturing more detailed local time-frequency description of the signal, and restricting the frequency aliasing components of the analysis results. The authors in this manuscript, combining the CK with the RSGWPT, propose an improved kurtogram to extract weak fault features from bearing vibration signals. The analysis of simulation signals and real application cases demonstrate that the proposed method is relatively more accurate and effective in extracting weak fault features.
- Published
- 2016