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- W2363821504 abstract "Two methods based on AR model and CMAC neural network respectively were proposed for recognizing machinery degradation states.A rotating spindle was taken as an example and several states of unbalance with different severity were recognized by two methods.It is proven that two methods were feasible and the degree of degradation can be described quantificationally.The properties of two methods were analyzed and compared in the end." @default.
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- W2363821504 date "2005-01-01" @default.
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- W2363821504 title "Two Methods for Machinery Degradation State Recognition" @default.
- W2363821504 hasPublicationYear "2005" @default.
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