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- W2360108081 abstract "The intelligent and automatic realization of Fault Diagnosis on Machine's Wear Condition is depended on the simulation of human brain's logical reasoning ability, which is just the classical research and application objectve of traditional Artificial Intelligent(AI) methods, such as the Expert System(ES). This paper illustrated our approach, by means of Framework based Expert System and Fuzzy Logic Reasoning, to achieve the intelligent fault diagnosis on the diesel locomotive's wear condition. Though the experimental data and results are collected from the practical diesel locomotive's engine, the idea, models and algorithms in this paper can still be used to deal with the similar problems of other kinds of mechanical equipment." @default.
- W2360108081 created "2016-06-24" @default.
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- W2360108081 date "1999-01-01" @default.
- W2360108081 modified "2023-09-25" @default.
- W2360108081 title "Intelligent Diagnosis on Diesel Locomotive's Wear Fault Based on Framework based Expert System and Fuzzy Logic" @default.
- W2360108081 hasPublicationYear "1999" @default.
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