title: A novel procedure for diagnosing multiple faults in rotating machinery.
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.
authors.affiliation: College of Mechanical Engineering, Taiyuan University of Technology, Taiyuan, Shanxi 030024, PR China.
authors.forename: Zhijian
authors.initials: Z
authors.lastname: Wang
authors.affiliation: College of Mechanical Engineering, Taiyuan University of Technology, Taiyuan, Shanxi 030024, PR China. Electronic address: wangzhijian1013@163.com.
authors.forename: Zhennan
authors.initials: Z
authors.lastname: Han
authors.affiliation: College of Mechanical Engineering, Taiyuan University of Technology, Taiyuan, Shanxi 030024, PR China; School of Computing and Engineering, University of Huddersfield, Huddersfield HD1 3DH, UK.
authors.forename: Fengshou
authors.initials: F
authors.lastname: Gu
authors.affiliation: Signal Processing and Algorithms Group, School of Engineering, Manchester Metropolitan University, All Saints Building, All Saints, Manchester M15 6BH, UK.
authors.forename: James Xi
authors.initials: JX
authors.lastname: Gu
authors.affiliation: College of Mechanical Engineering, Taiyuan University of Science and Technology, Taiyuan, Shanxi 030024, PR China.
authors.forename: Shaohui
authors.initials: S
authors.lastname: Ning
keywords: CAF; CMF; EEMD; Fault diagnosis