Open AccessThis article is
- freely available
Defect Detection for Wheel-Bearings with Time-Spectral Kurtosis and Entropy
School of Automation, Beijing University of Posts and Telecommunications, Beijing 100876, China
Key Laboratory of Noise and Vibration Research, Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190, China
* Author to whom correspondence should be addressed.
Received: 17 December 2013; in revised form: 26 December 2013 / Accepted: 3 January 2014 / Published: 17 January 2014
Abstract: Wheel-bearings easily acquire defects due to their high-speed operating conditions and constant metal-metal contact, so defect detection is of great importance for railroad safety. The conventional spectral kurtosis (SK) technique provides an optimal bandwidth for envelope demodulation. However, this technique may cause false detections when processing real vibration signals for wheel-bearings, because of sparse interference impulses. In this paper, a novel defect detection method with entropy, time-spectral kurtosis (TSK) and support vector machine (SVM) is proposed. In this method, the possible outliers in the short time Fourier transform (STFT) amplitude series are first estimated and preprocessed with information entropy. Then the method extends the SK technique to the time-domain, and extracts defective frequencies from reconstructed vibration signals by TSK filtering. Finally, the multi-class SVM was applied to classify bearing defects. The effectiveness of the proposed method is illustrated using real wheel-bearing vibration signals. Experimental results show that the proposed method provides a better performance in defect frequency detection and classification than the conventional SK-based envelope demodulation.
Keywords: wheel-bearing; defective frequency; spectral kurtosis; time-spectral kurtosis; feature extraction
Article StatisticsClick here to load and display the download statistics.
Notes: Multiple requests from the same IP address are counted as one view.
Cite This Article
MDPI and ACS Style
Chen, B.; Yan, Z.; Chen, W. Defect Detection for Wheel-Bearings with Time-Spectral Kurtosis and Entropy. Entropy 2014, 16, 607-626.
Chen B, Yan Z, Chen W. Defect Detection for Wheel-Bearings with Time-Spectral Kurtosis and Entropy. Entropy. 2014; 16(1):607-626.
Chen, Bin; Yan, Zhaoli; Chen, Wei. 2014. "Defect Detection for Wheel-Bearings with Time-Spectral Kurtosis and Entropy." Entropy 16, no. 1: 607-626.