Health state assessment of rolling bearings based on EMD-improved Mahalanobis-Taguchi system
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DOI: 10.23977/EECTM2020.057
Corresponding Author
Xiangjin Dong
ABSTRACT
In order to improve the accuracy of the health state assessment of rolling bearings. A method of health state assessment based on Empirical Mode Decomposition and improved Mahalanobis-Taguchi system (IMTS) is proposed. Firstly, the modified method first uses Empirical Mode Decomposition (EMD) to extract characteristic variables from the vibration signal of the rolling bearings. Secondly, the improved Mahalanobis-Taguchi System (MTS) was used to determine and optimize the reference space, and Health Index (HI) was proposed to realize the quantitative evaluation of the health state of rolling bearings. The results show that this method can accurately and effectively evaluate the health state of rolling bearings.
KEYWORDS
Rolling Bearing, Health State Assessment, Mahalanobis-Taguchi System, Empirical Mode Decomposition