DocumentCode :
713245
Title :
Influence of fast inverter switching based on SiC semi-conductors on online insulation monitoring of high power traction machines
Author :
Zoeller, C. ; Ertl, H. ; Wolbank, T.M. ; Vogelsberger, M.A.
Author_Institution :
Inst. of Energy Syst. & Electr. Drives, Vienna Univ. of Technol., Vienna, Austria
fYear :
2015
fDate :
17-19 March 2015
Firstpage :
751
Lastpage :
756
Abstract :
In modern drive applications fed by voltage source inverters, monitoring systems are of advantage to reduce the maintenance costs and prevent outages. The proposed insulation monitoring method detects stator insulation defects by evaluating the current´s transient response after step excitation by the inverter. Due to fast switching of the voltage source inverter at high output voltage dv/dt rates, increased stress appears on the insulation and leads to deterioration. Prior an actual breakdown occurs, the machine´s high-frequency behavior is altered and a change in the transient part in the current response following a step excitation can be used to indicate insulation degradation. The paper presents experimental results of a 1.4 MW induction machine, fed by SiC semiconductor inverter technology. Additionally, variations of the inverter output voltage switching rate were implemented and the effect on the monitoring method is analyzed.
Keywords :
asynchronous machines; drives; invertors; machine insulation; traction motors; SiC; high power traction machines; induction machine; insulation degradation; inverter switching; maintenance costs; monitoring systems; online insulation monitoring; power 1.4 MW; semiconductor inverter; semiconductors; stator insulation; transient response; voltage source inverters; Degradation; Insulation; Inverters; Logic gates; Monitoring; Sensors; Switches; AC machines; current sensors; electric breakdown; fault diagnosis; insulation; switching converters;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Technology (ICIT), 2015 IEEE International Conference on
Conference_Location :
Seville
Type :
conf
DOI :
10.1109/ICIT.2015.7125188
Filename :
7125188
Link To Document :
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