Detection and Localization of Insulation Deterioration in Traction Drives Based on Specific High Frequency Current Response Evaluation

被引:0
|
作者
Zoeller, C. [1 ]
Wolbank, Th. M. [1 ]
Vogelsberger, M. A. [2 ]
机构
[1] TU Wien, Inst Energy Syst & Elect Drives, Vienna, Austria
[2] Bombardier Transportat Austria, Rolling Stock Equipment RoQ, Vienna, Austria
关键词
AC machines; Fault diagnosis; Insulation testing; Traction motor drives; MACHINES; DESIGN;
D O I
暂无
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
In modern electric traction drives, on-line monitoring offers the advantage to decrease maintenance cost and increase the reliability. Especially, the electrical insulation is one of the most vulnerable components of an ac machine. Fast switching of the inverter results in high output voltage slew rates increasing the stress on the insulation as well as the rate of deterioration. The described stator insulation monitoring technique detects imminent deviations from a healthy stator insulation state by evaluation of the current response induced by inverter switching. Effects occurring during the aging of the insulation, e.g. changes of electrical parasitic components, lead to deviations in the transient current oscillation. Since the degradation of the insulation is usually a slowly developing process, the observation of the insulation condition is possible during operation and when the drive is put into service and continuing over the whole lifetime. The target of the approach is to detect the insulation degradation in an incipient stage. In order to operate the monitoring system economically, conventional current transducers typically used in industrial applications are used. Experimental results of a 1.4 MW induction machine for railway applications, fed by inverters with different semiconductor technologies (IGBT, SiC-MOSFET) are presented.
引用
收藏
页码:486 / 492
页数:7
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  • [1] DETECTION OF DETERIORATION OF POWER CABLE INSULATION BY HIGH FREQUENCY SUPERPOSITION METHOD
    SAKAI, H
    MORI, T
    FUKUDA, K
    [J]. IEEE TRANSACTIONS ON POWER APPARATUS AND SYSTEMS, 1974, PA93 (06): : 1735 - 1735
  • [2] Online Detection of Insulation Degradation in Inverter Fed Drive Systems Based on High Frequency Current Sampling
    Nussbaumer, P.
    Mitteregger, A.
    Wolbank, Th M.
    [J]. IECON 2011: 37TH ANNUAL CONFERENCE ON IEEE INDUSTRIAL ELECTRONICS SOCIETY, 2011, : 1954 - 1959
  • [3] Insulation Condition Monitoring of Traction Drives based on Transient Current Signal Resulting from Differential and Common Mode Excitation
    Zoeller, C.
    Wolbank, Th. M.
    Vogelsberger, M. A.
    [J]. 2015 IEEE INTERNATIONAL ELECTRIC MACHINES & DRIVES CONFERENCE (IEMDC), 2015, : 1426 - 1432
  • [4] Evaluation and Current-Response-Based Identification of Insulation Degradation for High Utilized Electrical Machines in Railway Application
    Zoeller, Clemens
    Vogelsberger, Markus A.
    Fasching, Robert
    Grubelnik, Werner
    Wolbank, Thomas M.
    [J]. IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 2017, 53 (03) : 2679 - 2689
  • [5] Evaluation and Current-Response Based Identification of Insulation Degradation for High Utilized Electrical Machines in Railway Application
    Zoeller, C.
    Vogelsberger, M. A.
    Fasching, R.
    Grubelnik, W.
    Wolbank, Th. M.
    [J]. 2015 IEEE 10TH INTERNATIONAL SYMPOSIUM ON DIAGNOSTICS FOR ELECTRIC MACHINES, POWER ELECTRONICS AND DRIVES (SDEMPED), 2015, : 266 - 272
  • [6] Brain High Frequency Signal Detection and Localization Based on MEG
    Lu, Meng
    Xiang, Jing
    [J]. JOURNAL OF MEDICAL IMAGING AND HEALTH INFORMATICS, 2015, 5 (08) : 1588 - 1591
  • [7] Evaluation of High-Frequency Current Ringing Measurements for Insulation Health Monitoring in Electrical Machines
    Zanuso, Giovanni
    Peretti, Luca
    [J]. IEEE TRANSACTIONS ON ENERGY CONVERSION, 2022, 37 (04) : 2637 - 2644
  • [8] Current and Emerging Potential of Magnetoencephalography in the Detection and Localization of High-Frequency Oscillations in Epilepsy
    Tamilia, Eleonora
    Madsen, Joseph R.
    Grant, Patricia Ellen
    Pearl, Phillip L.
    Papadelis, Christos
    [J]. FRONTIERS IN NEUROLOGY, 2017, 8
  • [9] Performance Evaluation of Radio Frequency Based EDM Bearing Current Detection Method
    Ahola, Jero
    Niskanen, Vide
    Tamminen, Jussi
    Ahonen, Tero
    [J]. 8TH INTERNATIONAL CONFERENCE ON CONDITION MONITORING AND MACHINERY FAILURE PREVENTION TECHNOLOGIES 2011, VOLS 1 AND 2, 2011, : 473 - 481
  • [10] On Radio-Frequency Based Detection of High-Frequency Circulating Bearing Current Flow
    Muetze, Annette
    Niskanen, Ville
    Ahola, Jero
    [J]. 2013 IEEE INTERNATIONAL ELECTRIC MACHINES & DRIVES CONFERENCE (IEMDC), 2013, : 1289 - 1294