@inproceedings{3f211d8e17584d4c9725ff6794fff865,
title = "Three-Phase Induction Motor Short Circuit Stator Detection Using an External Flux Sensor",
abstract = "This paper presents the performances of short circuit stator winding fault detection using an external flux sensor in a three-phase induction machine. The sensors used in this experiment are coil sensors that can capture the stray flux signal from the 3-way X, Y, and Z. This sensor is placed on the outside of the body motor so as not to disturb when the motor is operating. Fast Fourier Transform (FFT) method is used to analyze the stray flux frequency spectrum. After obtaining the results of the stray flux frequency spectrum, it will be compared with the Motor Current Stator Analysis (MCSA). Comparison are made to determine the success in detecting motor short-circuit faults and how sensitive to detection faults. This experiment also adds a variety of loading to find out how the influence of loading for the detection of short circuit interference. The experimental results show that the method for fault detection using stray flux has a successful performance of 82.67% when the motor is operated without a load and 63.33% at its full load. While for the successful performances of fault detection using a stator current of 42.67% when the motor is operated without load and of 63.67% at its full load.",
keywords = "Fast Fourier Transform (FFT), Motor Current Stator Analysis (MCSA), coil sensor, induction motor, short circui, stator winding, stray flux",
author = "Prahesti, {Fidya Eka} and Asfani, {Dimas Anton} and {Made Yulistya Negara}, I. and Dewantara, {Belly Yan}",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 International Seminar on Intelligent Technology and Its Application, ISITIA 2020 ; Conference date: 22-07-2020 Through 23-07-2020",
year = "2020",
month = jul,
doi = "10.1109/ISITIA49792.2020.9163738",
language = "English",
series = "Proceedings - 2020 International Seminar on Intelligent Technology and Its Application: Humanification of Reliable Intelligent Systems, ISITIA 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "375--380",
booktitle = "Proceedings - 2020 International Seminar on Intelligent Technology and Its Application",
address = "United States",
}