DocumentCode :
2399266
Title :
On-line stator winding fault diagnosis in inverter-fed AC machines using high frequency signal injection
Author :
Briz, Fernando ; Degner, Michael W. ; Zamarrón, Antonio ; Guerrero, Juan M.
Author_Institution :
Dept. of Elec., Comput. & Syst. Eng., Univ. of Oviedo, Gijon, Spain
Volume :
3
fYear :
2002
fDate :
13-18 Oct. 2002
Firstpage :
2094
Abstract :
The diagnosis of stator winding faults in inverter fed AC machines using an injected high frequency carrier signal is presented and analyzed in this paper. Measurement of the resulting high frequency negative sequence current (or alternatively of the negative sequence impedance) is used to detect turn faults at an incipient stage. Though sharing the same physical principles of similar techniques applied to line-connected machines, the use of a high frequency signal will be shown to present important advantages, such as providing the same performance almost independent of the fundamental excitation frequency, and drastically reducing the sensitivity to the working condition of the machine, i.e. torque and flux levels.
Keywords :
AC machines; DC-AC power convertors; computerised monitoring; electric breakdown; fault diagnosis; insulation testing; invertors; machine insulation; machine testing; power engineering computing; stators; fundamental excitation frequency; high-frequency negative sequence current; high-frequency signal injection; injected high frequency carrier signal; inverter-fed AC machines; online stator winding fault diagnosis; turn faults detection; AC machines; Current measurement; Employee welfare; Fault detection; Fault diagnosis; Frequency measurement; Impedance measurement; Inverters; Signal analysis; Stator windings;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industry Applications Conference, 2002. 37th IAS Annual Meeting. Conference Record of the
Conference_Location :
Pittsburgh, PA, USA
ISSN :
0197-2618
Print_ISBN :
0-7803-7420-7
Type :
conf
DOI :
10.1109/IAS.2002.1043820
Filename :
1043820
Link To Document :
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