A fault diagnosis method for a practical engineering application based on CEEMD and ELM

Jiayu Chen, Hongyong Fu, Yang Wang, Dong Zhou

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations


Fault diagnosis of rotating machinery is of great significance in preventing catastrophic accidents and beneficially guaranteeing sufficient maintenance, which attracted a large number of researches to propose different diagnostic methods. However, different from the ideal state in laboratory, in practical engineering applications, the quality of collected vibration signals is vulnerable to environment and conditions and tends to be uneven, which lead to difficulties in accurate fault diagnosis. Concentrating on the signals with characteristics of poor quality, high noise and weak separability in the practical engineering applications, this paper proposes a CEEMD and ELM based fault diagnostic method. The proposed method contains four major steps: Row data acquired, feature extraction based on CEEMD and SVD, fault diagnosis based on ELM and calculation of total accuracy. At last, the proposed method is applied to a practical engineering application, fault diagnosis of a centrifugal pump. Results achieve a better fault recognition rate than the peer methods, which verifies the effectiveness and feasibility of the proposed method.

Original languageEnglish
Pages (from-to)46-51
Number of pages6
JournalVibroengineering Procedia
StatePublished - 1 May 2017
Externally publishedYes
Event25th International Conference on Vibroengineering - Liberec, Czech Republic
Duration: 30 May 20171 Jun 2017

Bibliographical note

Publisher Copyright:
© JVE International Ltd.


  • Centrifugal pump
  • ELM
  • Engineering application
  • Fault diagnosis
  • SVD


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