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- W2352230003 abstract "In the light of limitation of traditional diagnosis technology, to start new effective methods for intelligence in fault diagnosis, the paper studied inference methods in fault diagnosis based on BP model neural network. The simulation results show that the fault diagnosis based on neural network is very effective. It need not set up a complicated mathematical model, and also need not do complicated mathematical calculation and data processing. All you need do is select enough typical fault samples to train the neural network. When information that represents fault is input to the trained neural network, the type of shown fault can be judged by the output of the neural network. Once the neural network training has finished, the neural network with fault tolerance can diagnose not only the shown faults but also some faults never shown in some extent. The fault diagnosis is intelligent and simple." @default.
- W2352230003 created "2016-06-24" @default.
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- W2352230003 date "1999-01-01" @default.
- W2352230003 modified "2023-09-23" @default.
- W2352230003 title "Fault Diagnosis Inference Based on Neural Network" @default.
- W2352230003 hasPublicationYear "1999" @default.
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