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- W2391902709 abstract "A new-style fault intelligent diagnosis of high speed rotating machinery is studied,which solves the problem of its compound fault diagnosis.Neural network is used to diagnose the fault.The system combines signal sampling,condition monitoring,signal analysis and intelligent diagnosis into one.Then H1C supercharger is studied and the verifying test of the system is done,the result of which is consistent with the theoretical one.The reliability of the system is verified,which can diagnose the fault of machinery accurately and quickly.The intelligent diagnosis system is employed to resolve compound fault diagnosis of high speed rotating machinery.The superiority in diagnosing compound fault is proved and the foundation for practical utilization and real-time fault diagnosis is established based on neural network." @default.
- W2391902709 created "2016-06-24" @default.
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- W2391902709 date "2005-01-01" @default.
- W2391902709 modified "2023-09-25" @default.
- W2391902709 title "Research about Fault Intelligent Diagnosis of High Speed Rotating Machinery" @default.
- W2391902709 hasPublicationYear "2005" @default.
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