Fuzzy diagnosis of turbomachines

Article type: Research Article

Authors: Yang, Meijun^{a; *} | Shen, Qiang^b

Affiliations: [a] Department of Electronics and Informatics, Guangdong, Baiyun Institute, China | [b] Department of Computer Sciences, Aberystwyth University, Wales, UK

Correspondence: [*] Corresponding author: M. Yang, Department of Electronics and Informatics, Guangdong Baiyun Institute, China. E-mail: [email protected]

Abstract: 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.

DOI: 10.3233/KES-2008-12205

Journal: International Journal of Knowledge-based and Intelligent Engineering Systems, vol. 12, no. 2, pp. 137-146, 2008