Development of a diagnostic tool for condition monitoring of rotating machinery

This paper presents an overview of the CRC for Infrastructure and Engineering Asset Management (CIEAM)'s rotating machine health monitoring project and the status of the research progress. The project focuses on the development of a comprehensive diagnostic tool for condition monitoring and sys...

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Main Authors: Lin, T., Tan, A., Howard, Ian, Pan, J., Crosby, P., Mathew, J.
Other Authors: Asset Management Council
Format: Conference Paper
Published: Asset Management Council 2011
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/5579
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author Lin, T.
Tan, A.
Howard, Ian
Pan, J.
Crosby, P.
Mathew, J.
author2 Asset Management Council
author_facet Asset Management Council
Lin, T.
Tan, A.
Howard, Ian
Pan, J.
Crosby, P.
Mathew, J.
author_sort Lin, T.
building Curtin Institutional Repository
collection Online Access
description This paper presents an overview of the CRC for Infrastructure and Engineering Asset Management (CIEAM)'s rotating machine health monitoring project and the status of the research progress. The project focuses on the development of a comprehensive diagnostic tool for condition monitoring and systematic analysis of rotating machinery. Particularly attention focuses on the machine health monitoring of diesel engines, compressors and pumps by using acoustic emission and vibration-based monitoring techniques. The paper also provides a brief summary of the work done by the three main research collaborating partners in the project, namely, Queensland University of Technology (QUT), Curtin University of Technology (CUT) and the University of Western Australia (UWA). Preliminary test and analysis results from this work are also reported in the paper.
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format Conference Paper
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institution Curtin University Malaysia
institution_category Local University
last_indexed 2025-11-14T06:07:48Z
publishDate 2011
publisher Asset Management Council
recordtype eprints
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spelling curtin-20.500.11937-55792017-01-30T10:47:07Z Development of a diagnostic tool for condition monitoring of rotating machinery Lin, T. Tan, A. Howard, Ian Pan, J. Crosby, P. Mathew, J. Asset Management Council Acoustic Emission Vibration Machine diagnostics Condition monitoring This paper presents an overview of the CRC for Infrastructure and Engineering Asset Management (CIEAM)'s rotating machine health monitoring project and the status of the research progress. The project focuses on the development of a comprehensive diagnostic tool for condition monitoring and systematic analysis of rotating machinery. Particularly attention focuses on the machine health monitoring of diesel engines, compressors and pumps by using acoustic emission and vibration-based monitoring techniques. The paper also provides a brief summary of the work done by the three main research collaborating partners in the project, namely, Queensland University of Technology (QUT), Curtin University of Technology (CUT) and the University of Western Australia (UWA). Preliminary test and analysis results from this work are also reported in the paper. 2011 Conference Paper http://hdl.handle.net/20.500.11937/5579 Asset Management Council restricted
spellingShingle Acoustic Emission
Vibration
Machine diagnostics
Condition monitoring
Lin, T.
Tan, A.
Howard, Ian
Pan, J.
Crosby, P.
Mathew, J.
Development of a diagnostic tool for condition monitoring of rotating machinery
title Development of a diagnostic tool for condition monitoring of rotating machinery
title_full Development of a diagnostic tool for condition monitoring of rotating machinery
title_fullStr Development of a diagnostic tool for condition monitoring of rotating machinery
title_full_unstemmed Development of a diagnostic tool for condition monitoring of rotating machinery
title_short Development of a diagnostic tool for condition monitoring of rotating machinery
title_sort development of a diagnostic tool for condition monitoring of rotating machinery
topic Acoustic Emission
Vibration
Machine diagnostics
Condition monitoring
url http://hdl.handle.net/20.500.11937/5579