대한안전경영과학회지 (Journal of the Korea Safety Management & Science)
- 제1권1호
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- Pages.7-17
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- 1999
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- 1229-6783(pISSN)
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- 2288-1484(eISSN)
퍼지 전문가 시스템을 이용한 고장 예측 및 진단
Fault Prediction and Diagnosis Using Fuzzy Expert System
초록
As the loss from break-downs and errors, which became more frequent with the growth of elaborateness, complexity and in scale of the plant and equipments, are enormous, the improvement in the reliability, maintenance, safety, and qualify become to have interest. The fault diagnosis is a systematic and unified method to find errors, which is based on the interpretation that data, subconsciously, have noises. But, as most of the methods are inferences based on binomial logic, the uncertainty is not correctly reflected. In this study, we suggest, to manage the uncertainty in the system efficiently on the point of predictive maintenance, We should use fuzzy expert system, which make the decision considering uncertainty possible by taking linguistical variable and fixed quantity by using the fuzzy theory concepts on the basis of an expert's direct observation and experience.
키워드