Document Detail


A novel procedure for diagnosing multiple faults in rotating machinery.
MedLine Citation:
PMID:  25440946     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
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:
Zhijian Wang; Zhennan Han; Fengshou Gu; James Xi Gu; Shaohui Ning
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2014-11-11
Journal Detail:
Title:  ISA transactions     Volume:  -     ISSN:  1879-2022     ISO Abbreviation:  ISA Trans     Publication Date:  2014 Nov 
Date Detail:
Created Date:  2014-12-2     Completed Date:  -     Revised Date:  2014-12-3    
Medline Journal Info:
Nlm Unique ID:  0374750     Medline TA:  ISA Trans     Country:  -    
Other Details:
Languages:  ENG     Pagination:  -     Citation Subset:  -    
Copyright Information:
Copyright © 2014 ISA. Published by Elsevier Ltd. All rights reserved.
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