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International Journal of Industrial Engineering and Productional Research-، جلد ۲۲، شماره ۲، صفحات ۹۱-۹۸
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عنوان انگلیسی A Fuzzy Rule Based System for Fault Diagnosis, Using Oil Analysis Results
چکیده انگلیسی مقاله Condition Monitoring, Oil Analysis, Wear Behavior, Fuzzy Rule Based System Maintenance , as a support function, plays an important role in manufacturing companies and operational organizations. In this paper, fuzzy rules used to interpret linguistic variables for determination of priorities. Using this approach, such verbal expressions, which cannot be explicitly analyzed or statistically expressed, are herein quantified and used in decision making. In this research, it is intended to justify the importance of historic data in oil analysis for fault detection. Initial rules derived by decision trees and visualization then these fault diagnosis rules corrected by experts. With the access to decent information sources, the wear behaviors of diesel engines are studied. Also, the relation between the final status of engine and selected features in oil analysis is analyzed. The dissertation and analysis of determining effective features in condition monitoring of equipments and their contribution, is the issue that has been studied through a Data Mining model.
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نویسندگان مقاله سعید رمضانی | saeed ramezani
logistics studies amp;amp; researches center, imam hossein university

سازمان اصلی تایید شده: دانشگاه جامع امام حسین (Imam hosseyn university)

عزیزالله معماریانی | azizollah memariani
school of economic sciences, scientific counselor and director of the iranian students affairs in south-east asia
نشانی اینترنتی http://ijiepr.iust.ac.ir/browse.php?a_code=A-10-15-1&slc_lang=en&sid=en
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