Fuzzy Diagnosis of Turbomachines

Qiang Shen, M. Yang

Research output: Contribution to journalArticlepeer-review

5 Citations (SciVal)
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This paper presents a fuzzy knowledge-based system for turbomachinery diagnosis. Given symptoms associated with a vibration problem, the system can identify and rank possible causes by performing incremental forward chaining. The diagnostic system incorporates an attribute weighting component to reflect the relative significance of conditional attributes, thereby allowing the system to produce more accurate diagnoses. The ability of this system to identify causes of typical vibration problems in rotating machinery is supported with tests on real cases.
Original languageEnglish
Pages (from-to)137-146
Number of pages10
JournalInternational Journal of Knowledge-Based and Intelligent Engineering Systems
Issue number2
Publication statusPublished - 2008


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