On-line fault detection of inter-turn short circuits in turbo-generator rotor windings

Author

Li, Yonggang ; Li, Jianwen ; Sun, Wei

Author_Institution

Dept. of Electr. Eng., North China Electr. Power Univ., Baoding

fYear

2008

fDate

17-20 Oct. 2008

Firstpage

763

Lastpage

768

Abstract

The on-line fault diagnosis technique based on search coil method for detecting inter-turn short circuits in turbo-generator rotor winding is used. Based on completely different properties of induced electric potential signals in the air gap and noise characteristic of the generator operated in different conditions is analyzed, wavelet transform and Mallatpsilas local maximum de-noising algorithm is presented, thereby realizes the detection of shorted turns fault and finds the fault slot position in turbo-generator rotor windings. Theoretical analysis and experimental results show that the method is particularly suitable for on-line fault detection of inter-turn short circuit in turbo-generator rotor windings.

Keywords

fault location; machine windings; rotors; turbogenerators; wavelet transforms; Mallat local maximum denoising algorithm; air gap; induced electric potential signals; interturn short circuits; noise characteristic; on-line fault detection technique; slot position fault diagnosis; turbogenerator rotor winding; wavelet transform; Character generation; Circuit faults; Circuit noise; Coils; Electric potential; Electrical fault detection; Fault diagnosis; Noise generators; Rotors; Signal generators;

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

4770810