Optimal Resonant Band Demodulation Based on an Improved Correlated Kurtosis and Its Application in Bearing Fault Diagnosis
1
Department of Mechanical Engineering, Academy of Armored Forces Engineering, Beijing 100072, China
2
Beijing Special Vehicle Research Institute, Beijing 100072, China
*
Author to whom correspondence should be addressed.
Academic Editor: Vittorio M. N. Passaro
Sensors 2017, 17(2), 360; https://doi.org/10.3390/s17020360
Received: 8 January 2017
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Revised: 2 February 2017
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Accepted: 6 February 2017
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Published: 13 February 2017
(This article belongs to the Section Physical Sensors)
The kurtosis-based indexes are usually used to identify the optimal resonant frequency band. However, kurtosis can only describe the strength of transient impulses, which cannot differentiate impulse noises and repetitive transient impulses cyclically generated in bearing vibration signals. As a result, it may lead to inaccurate results in identifying resonant frequency bands, in demodulating fault features and hence in fault diagnosis. In view of those drawbacks, this manuscript redefines the correlated kurtosis based on kurtosis and auto-correlative function, puts forward an improved correlated kurtosis based on squared envelope spectrum of bearing vibration signals. Meanwhile, this manuscript proposes an optimal resonant band demodulation method, which can adaptively determine the optimal resonant frequency band and accurately demodulate transient fault features of rolling bearings, by combining the complex Morlet wavelet filter and the Particle Swarm Optimization algorithm. Analysis of both simulation data and experimental data reveal that the improved correlated kurtosis can effectively remedy the drawbacks of kurtosis-based indexes and the proposed optimal resonant band demodulation is more accurate in identifying the optimal central frequencies and bandwidth of resonant bands. Improved fault diagnosis results in experiment verified the validity and advantage of the proposed method over the traditional kurtosis-based indexes.
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Keywords:
fault diagnosis; squared envelope spectrum; optimal resonant band demodulation; correlated kurtosis; rolling bearing
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MDPI and ACS Style
Chen, X.; Zhang, B.; Feng, F.; Jiang, P. Optimal Resonant Band Demodulation Based on an Improved Correlated Kurtosis and Its Application in Bearing Fault Diagnosis. Sensors 2017, 17, 360. https://doi.org/10.3390/s17020360
AMA Style
Chen X, Zhang B, Feng F, Jiang P. Optimal Resonant Band Demodulation Based on an Improved Correlated Kurtosis and Its Application in Bearing Fault Diagnosis. Sensors. 2017; 17(2):360. https://doi.org/10.3390/s17020360
Chicago/Turabian StyleChen, Xianglong, Bingzhi Zhang, Fuzhou Feng, and Pengcheng Jiang. 2017. "Optimal Resonant Band Demodulation Based on an Improved Correlated Kurtosis and Its Application in Bearing Fault Diagnosis" Sensors 17, no. 2: 360. https://doi.org/10.3390/s17020360
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