Online condition-based shaft faults diagnosis with multiscale entropy

Y. H. Pan, C. Wang, W. Y. Lin, Y. H. Wang, H. T. Young, K. T. Lee

Research output: Contribution to journalArticlepeer-review

5 Scopus citations


The conventional approach for online monitoring of a machine's operating condition is based on linear time-frequency analysis and is therefore limited by the point that the vibrations are non-linear and non-stationary in nature. This problem has been addressed by the proposal of the multiscale entropy (MSE) approach to non-linear time series analysis. This paper proposes an online feature extractor to allow the vibration signal of shafts experiencing different problems to be differentiated using the MSE approach.

Original languageEnglish
Pages (from-to)1899-1911
Number of pages13
JournalProceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture
Issue number10
StatePublished - Oct 2011


  • Condition
  • Feature
  • Multiscale entropy
  • Online
  • SKD
  • Shaft


Dive into the research topics of 'Online condition-based shaft faults diagnosis with multiscale entropy'. Together they form a unique fingerprint.

Cite this