• 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