Improved Local Mean Decomposition and its Application to Fault Diagnosis of Train Bearing

Abstract:

Fault diagnosis of train bearing is an important method to ensure the security of railway. The key to the fault diagnosis is the method of vibration signal demodulation. The local mean decomposition (LMD) is a self-adapted signal processing method which has a good performance in nonlinear nonstationary signal demodulation. The improved LMD method based on kurtosis criterion can prevent errors in the process of calculating the product functions. With the verification of simulation and wheel set experiment, the improvement method has been certified usefully in practical application.

• Periodical: Advanced Materials Research (Volume 819)
• Pages: 155-159
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.819.155
• Online since: September 2013
• Authors: Peng Wang, Huai Xiang Ma
• Keywords: Fault Diagnosis, Improvement, Kurtosis Criterion, LMD

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