DocumentCode :
482421
Title :
A novel online diagnosis of brushless generator rotary rectifier fault
Author :
Zhang, Chao ; Xia, Li
Author_Institution :
Coll. of Electr. & Inf. Eng., Naval Univ. of Eng., Wuhan
fYear :
2008
fDate :
17-20 Oct. 2008
Firstpage :
835
Lastpage :
838
Abstract :
The fault detection of rotary rectifier based on harmonic analysis has some deficiencies. A new fault diagnosis method is presented using fractal theory and dynamics. Firstly, the quantitative description of exciter field currentpsilas complexity and irregularity is performed by box dimension calculation. Then the exciter field current fluctuation range under noisy environments is obtained by dynamics. Finally, the fault detection and identification of rotary rectifier is implemented through fractal dimension-signal fluctuation range trajectory area. The analysis results of testing waveforms show that box dimension and dynamics can analyze the waveform characteristics of exciterpsilas field current synthetically, the diagnosis effect is remarkable. Because the arithmetic has a little working load, it is more feasible to realize online fault diagnosis.
Keywords :
brushless machines; electric generators; exciters; fault currents; fault diagnosis; fluctuations; fractals; harmonic analysis; machine testing; rectifying circuits; waveform analysis; box dimension calculation; brushless generator rotary rectifier fault detection; exciter field current fluctuation; fractal dimension; harmonic analysis; online fault diagnosis method; signal fluctuation range trajectory; waveform characteristics; Chaos; Failure analysis; Fault diagnosis; Fluctuations; Fractals; Frequency; Harmonic analysis; Rectifiers; Sampling methods; Voltage;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical Machines and Systems, 2008. ICEMS 2008. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-3826-6
Electronic_ISBN :
978-7-5062-9221-4
Type :
conf
Filename :
4770825
Link To Document :
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