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| A Bearing Fault Diagnosis Method Based on EEMD-SVD and FCM Clustering |
| ZHANG Li-guo,KANG Le,JIN Mei,LI Pan |
| Meas Tech & Instrumentation Key Lab of Hebei Province, Yanshan University, Qinhuangdao, Hebei 066004, China |
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Abstract A new method for diagnosis based on ensemble empirical mode of decomposition(EEMD), singularity value decomposition(SVD) and fuzzy C-means clustering(FCM) is proposed. First of all, the mechanical vibration signals were decomposed by EEMD into a certain number of intrinsic mode functions (IMFs). Secondly, IMF components were chosen by the criteria of mutual correlation coefficient and got several component containing the main information of signals, then , with the SVD method ,singular value sequences were obtained. At last, the constructed eigenvector were put into the FCM fuzzy clustering classifier to recognize different fault types. The results of experiment and engineering analysis demonstrate that the method proposed is able to diagnose mechanical faults accurately and effectively.
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Received: 14 July 2014
Published: 10 December 2015
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2016, Vol. 37 
