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Rotating machinery prognostics. State of the art, challenges and opportunities

Heng, Soong, Zhang, Sheng, Tan, Andy, & Mathew, Joseph (2009) Rotating machinery prognostics. State of the art, challenges and opportunities. Mechanical Systems and Signal Processing, 23(3), pp. 724-739.

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224 citations in Scopus
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126 citations in Web of Science®

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ID Code: 45548
Item Type: Journal Article
Keywords: Condition-based Maintenance, Condition Monitoring, Prognostics, Reliability
DOI: 10.1016/j.ymssp.2008.06.009
ISSN: 0888-3270
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > CIVIL ENGINEERING (090500)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > MECHANICAL ENGINEERING (091300)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > MECHANICAL ENGINEERING (091300) > Automation and Control Engineering (091302)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > MECHANICAL ENGINEERING (091300) > Mechanical Engineering not elsewhere classified (091399)
Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > INTERDISCIPLINARY ENGINEERING (091500)
Divisions: Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > Schools > School of Engineering Systems
Deposited On: 29 Aug 2011 14:11
Last Modified: 29 Feb 2012 23:59

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