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- W2391569440 abstract "abstractcording to the fault characteristics of the mine hoist, a proper intelligent fault diagnostic expert system is proposed, the paper presents a fault diagnostic method based on fault tree and neural network model. The knowledge representation adopts the shallow and deep knowledge integrated technology, and it is also based upon fault tree and is based on integrating of frame, rule, neural as well. The inference engine is built in forward and backward combined reasoning strategy, and depth-first searching theory. It is proved by practice that the expert system can increase the safety, reliability and efficiency of the mine hoist efficiently." @default.
- W2391569440 created "2016-06-24" @default.
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- W2391569440 date "2004-01-01" @default.
- W2391569440 modified "2023-09-23" @default.
- W2391569440 title "search on Fault Diagnostic Expert System for Mine Hoist Based onFault Tree and Neural Network" @default.
- W2391569440 hasPublicationYear "2004" @default.
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