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- W2389667028 abstract "A new method based on the startup electromagnetic torque signal is presented to diagnose broken rotor bars fault in induction machines.The fault characteristic torque frequency variation during the startup can be extracted using the wavelet ridge of the complex continuous wavelet transformation,which can be used to identify broken rotor bars fault.The wavelet coefficients modulus indicates the signal energy of the corresponding scale,so the wavelet coefficients modulus of the fault characteristic ridge will give us the magnitude variation information of the fault characteristic torque.According to these,the ridge-wavelet energy spectrum is defined.The ridge-wavelet energy spectrum of the fault characteristic torque is used as the fault severity index.The rotor fault severity index expression is given based on the relationship between ridge-wavelet energy spectrum of the characteristic torque and number of adjacent broken rotor bars.Experimental results verify the feasibility of the proposed fault diagnosis method." @default.
- W2389667028 created "2016-06-24" @default.
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- W2389667028 date "2005-01-01" @default.
- W2389667028 modified "2023-09-28" @default.
- W2389667028 title "BROKEN ROTOR BARS FAULT DIAGNOSIS OF INDUCTION MACHINES BASED ON WAVELET TRANSFORMATION OF ELECTROMAGNETIC TORQUE" @default.
- W2389667028 hasPublicationYear "2005" @default.
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