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

Department of Mechanical Engineering

Research output: Contribution to journal › Article › peer-review

5 Scopus citations

Abstract

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 language	English
Pages (from-to)	1899-1911
Number of pages	13
Journal	Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture
Volume	225
Issue number	10
DOIs	https://doi.org/10.1177/0954405411410134
State	Published - Oct 2011

Keywords

Condition
Feature
Multiscale entropy
Online
SKD
Shaft

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10.1177/0954405411410134

Cite this

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abstract = "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.",

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T1 - Online condition-based shaft faults diagnosis with multiscale entropy

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

U2 - 10.1177/0954405411410134

DO - 10.1177/0954405411410134

M3 - 期刊論文

AN - SCOPUS:84862932396

SN - 0954-4054

VL - 225

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

Abstract

Keywords

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