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- W2388601336 abstract "A method is proposed to determine the priority class of binary tree SVM.Firstly,the vibration signals of rotating machinery are colleted through a rotating machinery fault experimental platform and data acquisition system.The signals are from 5 different conditions,i.e.rotor normal,rotor unbalance,rotor misalignment,rotor bearing inner ring cracks and rotor bearing outer ring cracks.Then the signals are disposed by zero-mean and the main frequency band of the vibration signals are reconstructed to,extract the dimensionless time domain as characteristic value.Finally,the priority class of SVM 2PTMC can be determined by the correct inspection rate of parallel SVM.Training samples can be completely divided in experiments,which verifies the effectiveness of this method." @default.
- W2388601336 created "2016-06-24" @default.
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- W2388601336 date "2013-01-01" @default.
- W2388601336 modified "2023-09-23" @default.
- W2388601336 title "Fault diagnosis of rotating machinery based on SVM 2PTMC" @default.
- W2388601336 hasPublicationYear "2013" @default.
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