A novel procedure for diagnosing multiple faults in rotating machinery.

Authors :: Wang Z
Han Z
Gu F
Gu JX
Ning S
Source :: ISA transactions [ISA Trans] 2015 Mar; Vol. 55, pp. 208-18. Date of Electronic Publication: 2014 Nov 11.
Publication Year :: 2015
Abstract: 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 CL, and a high frequency CMF, denoted as Ch. Then it optimizes the amplitude of the added noise in decomposing Ch and CL 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.<br /> (Copyright © 2014 ISA. Published by Elsevier Ltd. All rights reserved.)