Diagnosis of stator short-circuit faults in an IPM synchronous machine using a space-vector pendulous oscillation method

Jiangbiao He; Andrew Strandt; Alia Manarik; Peng Zhang; Nabeel A.O. Demerdash

doi:10.1109/IEMDC.2013.6556174

Diagnosis of stator short-circuit faults in an IPM synchronous machine using a space-vector pendulous oscillation method

Jiangbiao He, Andrew Strandt, Alia Manarik, Peng Zhang, Nabeel A.O. Demerdash

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

7 Scopus citations

Abstract

Experimental characterization of interior permanent magnet (IPM) synchronous machines experiencing winding short-circuit faults is necessary in developing diagnostics indices to be used in detecting short-circuit winding faults. Known fault indices include the current spectrum analysis, the negative-sequence components method, and the space-vector based pendulous oscillation method. This paper applies all three methods to experimental turn-to-turn short-circuit fault data acquired from a 3.5 hp IPM motor energized by a PWM voltage source inverter. The results are compared and analyzed, and since none of the three methods presented unambiguously demonstrate the existence of a winding short-circuit fault, the practical difficulties of short-circuit fault detection and mitigation are discussed in that light.

Original language	English
Title of host publication	Proceedings of the 2013 IEEE International Electric Machines and Drives Conference, IEMDC 2013
Pages	727-733
Number of pages	7
DOIs	https://doi.org/10.1109/IEMDC.2013.6556174
State	Published - 2013
Event	2013 IEEE International Electric Machines and Drives Conference, IEMDC 2013 - Chicago, IL, United States Duration: May 12 2013 → May 15 2013

Publication series

Name	Proceedings of the 2013 IEEE International Electric Machines and Drives Conference, IEMDC 2013

Conference

Conference	2013 IEEE International Electric Machines and Drives Conference, IEMDC 2013
Country/Territory	United States
City	Chicago, IL
Period	5/12/13 → 5/15/13

Keywords

current spectrum
diagnostics
fault resistance
negative sequence
pendulous oscillation
turn-to-turn fault

ASJC Scopus subject areas

Electrical and Electronic Engineering

Access to Document

10.1109/IEMDC.2013.6556174

Cite this

He, J., Strandt, A., Manarik, A., Zhang, P., & Demerdash, N. A. O. (2013). Diagnosis of stator short-circuit faults in an IPM synchronous machine using a space-vector pendulous oscillation method. In Proceedings of the 2013 IEEE International Electric Machines and Drives Conference, IEMDC 2013 (pp. 727-733). Article 6556174 (Proceedings of the 2013 IEEE International Electric Machines and Drives Conference, IEMDC 2013). https://doi.org/10.1109/IEMDC.2013.6556174

He, Jiangbiao ; Strandt, Andrew ; Manarik, Alia et al. / Diagnosis of stator short-circuit faults in an IPM synchronous machine using a space-vector pendulous oscillation method. Proceedings of the 2013 IEEE International Electric Machines and Drives Conference, IEMDC 2013. 2013. pp. 727-733 (Proceedings of the 2013 IEEE International Electric Machines and Drives Conference, IEMDC 2013).

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title = "Diagnosis of stator short-circuit faults in an IPM synchronous machine using a space-vector pendulous oscillation method",

abstract = "Experimental characterization of interior permanent magnet (IPM) synchronous machines experiencing winding short-circuit faults is necessary in developing diagnostics indices to be used in detecting short-circuit winding faults. Known fault indices include the current spectrum analysis, the negative-sequence components method, and the space-vector based pendulous oscillation method. This paper applies all three methods to experimental turn-to-turn short-circuit fault data acquired from a 3.5 hp IPM motor energized by a PWM voltage source inverter. The results are compared and analyzed, and since none of the three methods presented unambiguously demonstrate the existence of a winding short-circuit fault, the practical difficulties of short-circuit fault detection and mitigation are discussed in that light.",

keywords = "current spectrum, diagnostics, fault resistance, negative sequence, pendulous oscillation, turn-to-turn fault",

author = "Jiangbiao He and Andrew Strandt and Alia Manarik and Peng Zhang and Demerdash, {Nabeel A.O.}",

year = "2013",

doi = "10.1109/IEMDC.2013.6556174",

language = "English",

isbn = "9781467349758",

series = "Proceedings of the 2013 IEEE International Electric Machines and Drives Conference, IEMDC 2013",

pages = "727--733",

booktitle = "Proceedings of the 2013 IEEE International Electric Machines and Drives Conference, IEMDC 2013",

note = "2013 IEEE International Electric Machines and Drives Conference, IEMDC 2013 ; Conference date: 12-05-2013 Through 15-05-2013",

}

He, J, Strandt, A, Manarik, A, Zhang, P & Demerdash, NAO 2013, Diagnosis of stator short-circuit faults in an IPM synchronous machine using a space-vector pendulous oscillation method. in Proceedings of the 2013 IEEE International Electric Machines and Drives Conference, IEMDC 2013., 6556174, Proceedings of the 2013 IEEE International Electric Machines and Drives Conference, IEMDC 2013, pp. 727-733, 2013 IEEE International Electric Machines and Drives Conference, IEMDC 2013, Chicago, IL, United States, 5/12/13. https://doi.org/10.1109/IEMDC.2013.6556174

Diagnosis of stator short-circuit faults in an IPM synchronous machine using a space-vector pendulous oscillation method. / He, Jiangbiao; Strandt, Andrew; Manarik, Alia et al.
Proceedings of the 2013 IEEE International Electric Machines and Drives Conference, IEMDC 2013. 2013. p. 727-733 6556174 (Proceedings of the 2013 IEEE International Electric Machines and Drives Conference, IEMDC 2013).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Manarik, Alia

AU - Zhang, Peng

AU - Demerdash, Nabeel A.O.

PY - 2013

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N2 - Experimental characterization of interior permanent magnet (IPM) synchronous machines experiencing winding short-circuit faults is necessary in developing diagnostics indices to be used in detecting short-circuit winding faults. Known fault indices include the current spectrum analysis, the negative-sequence components method, and the space-vector based pendulous oscillation method. This paper applies all three methods to experimental turn-to-turn short-circuit fault data acquired from a 3.5 hp IPM motor energized by a PWM voltage source inverter. The results are compared and analyzed, and since none of the three methods presented unambiguously demonstrate the existence of a winding short-circuit fault, the practical difficulties of short-circuit fault detection and mitigation are discussed in that light.

AB - Experimental characterization of interior permanent magnet (IPM) synchronous machines experiencing winding short-circuit faults is necessary in developing diagnostics indices to be used in detecting short-circuit winding faults. Known fault indices include the current spectrum analysis, the negative-sequence components method, and the space-vector based pendulous oscillation method. This paper applies all three methods to experimental turn-to-turn short-circuit fault data acquired from a 3.5 hp IPM motor energized by a PWM voltage source inverter. The results are compared and analyzed, and since none of the three methods presented unambiguously demonstrate the existence of a winding short-circuit fault, the practical difficulties of short-circuit fault detection and mitigation are discussed in that light.

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He J, Strandt A, Manarik A, Zhang P, Demerdash NAO. Diagnosis of stator short-circuit faults in an IPM synchronous machine using a space-vector pendulous oscillation method. In Proceedings of the 2013 IEEE International Electric Machines and Drives Conference, IEMDC 2013. 2013. p. 727-733. 6556174. (Proceedings of the 2013 IEEE International Electric Machines and Drives Conference, IEMDC 2013). doi: 10.1109/IEMDC.2013.6556174

Diagnosis of stator short-circuit faults in an IPM synchronous machine using a space-vector pendulous oscillation method

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