Incipient Stator Insulation Fault Detection of Permanent Magnet Synchronous Wind Generators Based on Hilbert–Huang Transformation

Author

Chao Wang ; Xiao Liu ; Zhe Chen

Author_Institution

Dept. of Energy Technol., Aalborg Univ., Aalborg, Denmark

Volume

50

Issue

11

fYear

2014

fDate

Nov. 2014

Firstpage

1

Lastpage

4

Abstract

Incipient stator winding fault in permanent magnet synchronous wind generators (PMSWGs) is very difficult to be detected as the fault generated variations in terminal electrical parameters are very weak and chaotic. This paper simulates the incipient stator winding faults at different degree of insulation degradation of one turn in the winding of a PMSWG. Cosimulation method by combining finite element model and external circuits is used. Hilbert-Huang transformation is applied to detect the very early stage fault in interturn insulation by analyzing the stator current. Detection results show that the minimum detectable severity degree of interturn fault in this paper is 0.1488%, which is much better than the best record in the literature.

Keywords

Hilbert transforms; fault diagnosis; finite element analysis; machine insulation; permanent magnet generators; power generation faults; stators; synchronous generators; wind power plants; Hilbert-Huang transformation; PMSWG; finite element model; incipient stator insulation winding fault detection; incipient stator winding fault; interturn insulation; permanent magnet synchronous wind generator; stator current analysis; terminal electrical parameter; Circuit faults; Fault detection; Insulation; Integrated circuit modeling; Stator windings; Windings; Fault detection; Hilbert???Huang transformation (HHT); interturn insulation fault; permanent magnet synchronous wind generator (PMSWG);

fLanguage

English

Journal_Title

Magnetics, IEEE Transactions on

Publisher

ieee

ISSN

0018-9464

Type

jour

DOI

10.1109/TMAG.2014.2318207

Filename

6971684