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

doi:10.1177/0954405411410134

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

機械工程學系

研究成果: 雜誌貢獻 › 期刊論文 › 同行評審

5 引文斯高帕斯（Scopus）

摘要

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.

原文	???core.languages.en_GB???
頁（從 - 到）	1899-1911
頁數	13
期刊	Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture
卷	225
發行號	10
DOIs	https://doi.org/10.1177/0954405411410134
出版狀態	已出版 - 10月 2011

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10.1177/0954405411410134

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AU - Pan, Y. H.

AU - Wang, C.

AU - Lin, W. Y.

AU - Wang, Y. H.

AU - Young, H. T.

AU - Lee, K. T.

PY - 2011/10

Y1 - 2011/10

N2 - 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.

AB - 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.

KW - Condition

KW - Feature

KW - Multiscale entropy

KW - Online

KW - SKD

KW - Shaft

UR - https://www.scopus.com/pages/publications/84862932396

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DO - 10.1177/0954405411410134

M3 - 期刊論文

AN - SCOPUS:84862932396

SN - 0954-4054

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SP - 1899

EP - 1911

JO - Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture

JF - Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture

IS - 10

ER -

Online condition-based shaft faults diagnosis with multiscale entropy

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