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http://dx.doi.org/10.5050/KSNVN.2003.13.9.703

A Fuzzy Expert System Based on Hybrid Database for Fault Diagnosis of Industrial Turbomachinery  

백두진 (한국과학기술연구원 트라이볼로지연구센터)
김승종 (한국과학기술연구원 트라이볼로지연구센터)
김창호 (한국과학기술연구원 트라이볼로지연구센터)
장건희 (한양대학교 정밀기계공학과)
이용복 (한국과학기술연구원 트라이볼로지연구센터)
Publication Information
Transactions of the Korean Society for Noise and Vibration Engineering / v.13, no.9, 2003 , pp. 703-712 More about this Journal
Abstract
This paper suggests a fuzzy expert system for fault diagnosis of rotating machinery, based on modulated databases. In the proposed system, alarm and trip levels are set based on ISO, considering operating condition, machinery type and maintenance history. Input signals for diagnosis, such as sub-and super-harmonic components of vibration and mean value, are normalized from 0 to 1 under the threshold level and otherwise equal to one so that chronic faults slightly below the threshold level can be monitored. The database for diagnosis consists of two modules: the well-known Sohre's chart module and if-then type rules. The Sohre's chart is utilized for the most common problems of high-speed turbomachinery, while the rule-based module, which was collected from many papers and reports, is for diagnosing peculiar faults according to the type of machinery. To infer the results from two modules, a fuzzy operation of Yager sum was adopted. Using a simulator constructed in laboratory, experimental verification was performed for the cases of unbalance and resonance which were intended. The experimental results show that the proposed fuzzy expert system has feasibility in practical diagnosis of rotating machinery.
Keywords
Turbomachinery; Condition Monitoring; Fault Diagnosis; Fuzzy Expert System;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
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