Induction motors modeling and fuzzy logic based turn-to-turn fault detection and localization

Daniel F. Leite; Marcus Vinícius Araújo; Luiz Secco; Pyramo Costa

doi:10.1109/POWERENG.2007.4380217

Induction motors modeling and fuzzy logic based turn-to-turn fault detection and localization

Daniel F. Leite, Marcus Vinícius Araújo, Luiz Secco, Pyramo Costa

Research output: Contribution to conference › Paper › peer-review

3 Scopus citations

Abstract

The development of a turn-to-turn fault diagnosis system in induction motors stator windings is presented. The system consists in a digital faults simulator based on state variables and in an Adaptive Fuzzy Inference System (AFIS). The developed prototype was validated through comparisons between the digital simulator's results and experimental results in a three-phase, 5Hp, 4 poles, 60Hz motor. The fuzzy system uses as fault indicators the rotor slip, the negative-sequence current and the positive-sequence current angle. The proposed system is based on a sensorless data acquisition method (voltages and currents) and it is immune to variations of the load operating point. Another advantage is the faulty phase localization.

Original language	English
Pages	90-95
Number of pages	6
DOIs	https://doi.org/10.1109/POWERENG.2007.4380217
State	Published - 2007
Externally published	Yes
Event	International Conference on Power Engineering, Energy and Electrical Drives, POWERENG 2007 - Setubal, Portugal Duration: 12 Apr 2007 → 14 Apr 2007

Conference

Conference	International Conference on Power Engineering, Energy and Electrical Drives, POWERENG 2007
Country/Territory	Portugal
City	Setubal
Period	12/04/07 → 14/04/07

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10.1109/POWERENG.2007.4380217

Cite this

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title = "Induction motors modeling and fuzzy logic based turn-to-turn fault detection and localization",

abstract = "The development of a turn-to-turn fault diagnosis system in induction motors stator windings is presented. The system consists in a digital faults simulator based on state variables and in an Adaptive Fuzzy Inference System (AFIS). The developed prototype was validated through comparisons between the digital simulator's results and experimental results in a three-phase, 5Hp, 4 poles, 60Hz motor. The fuzzy system uses as fault indicators the rotor slip, the negative-sequence current and the positive-sequence current angle. The proposed system is based on a sensorless data acquisition method (voltages and currents) and it is immune to variations of the load operating point. Another advantage is the faulty phase localization.",

author = "Leite, {Daniel F.} and Ara{\'u}jo, {Marcus Vin{\'i}cius} and Luiz Secco and Pyramo Costa",

year = "2007",

doi = "10.1109/POWERENG.2007.4380217",

language = "English",

pages = "90--95",

note = "International Conference on Power Engineering, Energy and Electrical Drives, POWERENG 2007 ; Conference date: 12-04-2007 Through 14-04-2007",

}

Induction motors modeling and fuzzy logic based turn-to-turn fault detection and localization. / Leite, Daniel F.; Araújo, Marcus Vinícius; Secco, Luiz et al.
2007. 90-95 Paper presented at International Conference on Power Engineering, Energy and Electrical Drives, POWERENG 2007, Setubal, Portugal.

Research output: Contribution to conference › Paper › peer-review

TY - CONF

T1 - Induction motors modeling and fuzzy logic based turn-to-turn fault detection and localization

AU - Leite, Daniel F.

AU - Araújo, Marcus Vinícius

AU - Secco, Luiz

AU - Costa, Pyramo

PY - 2007

Y1 - 2007

N2 - The development of a turn-to-turn fault diagnosis system in induction motors stator windings is presented. The system consists in a digital faults simulator based on state variables and in an Adaptive Fuzzy Inference System (AFIS). The developed prototype was validated through comparisons between the digital simulator's results and experimental results in a three-phase, 5Hp, 4 poles, 60Hz motor. The fuzzy system uses as fault indicators the rotor slip, the negative-sequence current and the positive-sequence current angle. The proposed system is based on a sensorless data acquisition method (voltages and currents) and it is immune to variations of the load operating point. Another advantage is the faulty phase localization.

AB - The development of a turn-to-turn fault diagnosis system in induction motors stator windings is presented. The system consists in a digital faults simulator based on state variables and in an Adaptive Fuzzy Inference System (AFIS). The developed prototype was validated through comparisons between the digital simulator's results and experimental results in a three-phase, 5Hp, 4 poles, 60Hz motor. The fuzzy system uses as fault indicators the rotor slip, the negative-sequence current and the positive-sequence current angle. The proposed system is based on a sensorless data acquisition method (voltages and currents) and it is immune to variations of the load operating point. Another advantage is the faulty phase localization.

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DO - 10.1109/POWERENG.2007.4380217

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T2 - International Conference on Power Engineering, Energy and Electrical Drives, POWERENG 2007

Y2 - 12 April 2007 through 14 April 2007

ER -

Induction motors modeling and fuzzy logic based turn-to-turn fault detection and localization

Abstract

Conference

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