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A novel procedure for diagnosing multiple faults in rotating machinery

2014; Elsevier BV; Volume: 55; Linguagem: Inglês

10.1016/j.isatra.2014.09.006

1879-2022

Zhijian Wang, Zhennan Han, Fengshou Gu, James Xi Gu, Shaohui Ning,

Fault Detection and Control Systems

In analyzing signals from a wind turbine gearbox this paper suggests a new signal processing procedure named as CMF-EEMD method which is formed by applying conventional EEMD to a new type of combined mode function (CMF). This CMF consists of a low frequency CMF, denoted as C L , and a high frequency CMF, denoted as C h . Then it optimizes the amplitude of the added noise in decomposing C h and C L using EEMD . Finally, it calculates cyclic autocorrelation function (CAF) for every characteristic IMF from EEMD. The proposed procedure is applied to analyze the multi-faults of a wind turbine gearbox and the results confirm better performances in resolving different signal components by the proposed method than that from the cyclic autocorrelation function (CAF) of a direct EEMD analysis . • A new signal processing procedure named as CMF-EEMD method has been proposed. • CMF-EEMD optimizes the amplitude of added noise in decomposing C h and C L using EEMD. • It calculates cyclic autocorrelation function (CAF) for every characteristic IMF from EEMD. • The method is compared with the CAF of a direct EEMD, showing its superiority. • CMF-EEMD is applied to analyze the multi-fault of a wind turbine gearbox. The results provide references for improving the layout of the wind turbine gearbox test system.