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- W2364696020 abstract "The wavelet packet and Bayes discrimination analysis method is applied to fault for diagnosis mine ventilator.The state features of typical vibration signal are extracted by wavelet packet technology,and those features are selected as discriminant factor of distance discriminant analysis model,the linear distance discrimination model is established through training a large set of learning samples from a series of mine ventilator fault projects.It has been proved that proposed new method has excellent discriminant potency and a low cross-validated misjudgment ratio,hasn't need optimize structure and can be used fault diagnosis for mine ventilator." @default.
- W2364696020 created "2016-06-24" @default.
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- W2364696020 date "2011-01-01" @default.
- W2364696020 modified "2023-09-23" @default.
- W2364696020 title "Fault Diagnosis for Mine Ventilator Based on Wavelet Packet and Bayes Discriminant Analysis Method" @default.
- W2364696020 hasPublicationYear "2011" @default.
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