Fault Diagnosis Of Resonance Based On Mathematical Morphology And Wavelet For The Power System Of Large Enterprise

Resonance breakdown in power system of large enterprise has brought the serious influence to the production of factory,it has created the huge economic loss, if we can find the source of fault accurately,we can make the essential measures promptly when the resonance breakdown took place,let the power system rapidly restore the normal operation, even before the resonance breakdown take place,we can forecast the resonance breakdown and make some essential measures,so the factory can operate normally,it will bring the huge economic efficiency to the enterprise.In this article,the abnormal phenomenon caused by PT saturated in 35KV subsystem of power system in a lager enterprise is studied deeply, and analysis the reason which cause the ferromagnetic resonance,then,use mathematics morphology and the wavelet transform to extract the characterize of ferromagnetic resonance fault wave,which as the acknowledge provided for the measures of preventing and eliminating these faults.Mathematics morphology has been widely applied to two-dimensional picture processing,this article applies mathematics morphology to unidimensional picture processing,and use the different structural element to the different algorithm to carry on the simulation analysis;The wavelet transformation has been widely applied to the power signal processing domain,the actual power signals contain the noise,it will expend extra times if we only use wavelet transform to the power signal processing; This article unifies the mathematical morphology's and wavelet transformation's merits,use mathematics morphology as pre-filter,then use wavelet transform to extract the characterize of fault wave, it can better satisfied the timely request.