Blind Source Separation Technique Applied on Fault Diagnosis of Rotors' Vibration
نویسنده
چکیده
Some research on sound source estimation by blind source separation (BSS) have been achieved and been satisfactory. On the aspect of sound source identification of rotating machine, some research is been achieved too. How to apply blind source separation to fault character identification and improve veracity of fault diagnosis is the research content of this paper. Based on the principle of minimum mutual information, the speedup grads method that use independency component analysis (ICA) to estimate separation matrix is advanced. The realization step of the method is presented. By the method, the numerical simulation of blind source separation on vibration signal is carried out. The effect is better. Then the real rotors’ fault signals are been collected and are been analyzed by above BSS method. On the power spectrum picture of separation signals, the fault characters are been better separated. This illuminated the validity of blind source separation to rotors’ fault diagnosis.
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