Fault Detection Experiment of Unbalanced Voltage and Air Gap Eccentricity on Induction Motor Using a Flux Sensor
DOI:
https://doi.org/10.12962/jaree.v7i1.340Abstract
Abstract— The induction motor is one of the popular equipment used in various types of industrial sectors. It is necessary to monitor the condition of the induction motor to maintain its safety and performance of the induction motor. The most common damage to the induction motor is bearing failure reaches 40% resulting in air gap eccentricity. Most of the research to detect the occurrence of air gap eccentricity is carried out based on the analysis of motor current signals. To overcome the disadvantages of the above methods, the detection of air gap eccentricity using a sensor flux that can detect leakage flux from the motor body and the fault detection results by measuring the flux signal analyzed. Flux analysis using the Fast Fourier Transform (FFT) algorithm in balanced and unbalanced voltage conditions. Induction motor failure analysis compared normal motor conditions with an eccentricity of 0.1 mm and 0.2 mm. Eccentricity detection is done by monitoring the amplitude that emerges in the frequency spectrum with notice of the threshold. Detection results from the eccentricity fault showed that success is detected 100% using a sensor flux on unbalanced voltage (under voltage 5%) at a full-load condition.References
N. R. Alham, D. A. Asfani, I. M. Yulistya N, and B. Y. A. N. Dewantara, “Analysis of Load and Unbalance Voltage on Air gap Eccentricity in detection of Three Phase Induction Motor,” Int. Conf. Inf. Commun. Technol., pp. 566–571, 2018.
D. G. Dorrell, W. T. Thomson, S. Member, and S. Roach, “Analysis of Airgap Flux, Current, and Vibration Signals as a Function of the Combination of Static and Dynamic Airgap Eccentricity in 3-Phase Induction Motors,” IEEE Trans. Ind. Appl., vol. 33, no. 1, pp. 24–34, 1997.
D. Hwang et al., “Detection of air-gap eccentricity and broken-rotor bar conditions in a squirrel-cage induction motor using the radial flux sensor,” Am. Inst. Physics., vol. 131, no. 2008, pp. 129–132, 2012.
M. Djamal, Suyatno, Yulkifli, and R. N. Setiadi, “SENSOR MAGNETIK FLUXGATE KARAKTERISTIK DAN APLIKASINYA,” J. Sains Mater. Indones, pp. 207–214, 2007.
F. E. Prahesti, D. A. Asfani, I. Made Yulistya Negara, and B. Y. Dewantara, “Three-Phase Induction Motor Short Circuit Stator Detection Using an External Flux Sensor,” Proc. - 2020 Int. Semin. Intell. Technol. Its Appl. Humanification Reliab. Intell. Syst. ISITIA 2020, pp. 375–380, 2020.
C. T. Kowalski and W. Kanior, “Effectiveness of the frequency analysis of the stator current in the rotor fault detection of induction motors,” Proc. IEEE Int. Conf. Ind. Technol., pp. 1–5, 2008.
R. Romary, R. Corton, D. Thailly, and J. F. Brudny, “Induction machine fault diagnosis using an external radial flux sensor,” Eur. Phys. J. Appl. Phys., vol. 132, pp. 125–132, 2005.
O. Vitek, M. Janda, V. Hajek, and P. Bauer, “Detection of eccentricity and bearings fault using stray flux monitoring,” SDEMPED 2011 - 8th IEEE Symp. Diagnostics Electr. Mach. Power Electron. Drives, pp. 456–461, 2011.
I. Nurhadi, A. I. Mahyuddin, and M. Ahmarudin, “Ciri Getaran Mekanik dan Arus Catu Pada Motor Listrik Induksi 3-Fasa Akibat Eksentrisitas Celah Udara.” Departemen Teknik Mesin, FTI-ITB, Bandung, pp. 18–26, 1997.
H. Henao, G.-A. Capolino, and C. Demian, “A Frequency-Domain Detection of Stator Winding Faults in Induction Machines Using an External Flux Sensor,” IEEE Trans. Ind. Appl., vol. 39, no. 5, pp. 1272–1279, 2003, doi: 10.1109/icit.2004.1490276.
I. Ozelgin, “Analysis of magnetic flux density for airgap eccentricity and bearing faults,” Int. J. Syst. Appl. Eng. Dev., vol. 2, no. 4, pp. 162–169, 2009
Hufri, Yulkifli, and M. Djamal, “Desain dan Pengembangan Sensor Magnetik Fluxgate Sensitivitas Tinggi Menggunakan Model Ellips-Multicore Double Pick-up dan Aplikasinya,” Padang, 2009.
S. M. A. Cruz and A. J. M. Cardoso, “Multiple reference frames theory: A new method for the diagnosis of stator faults in three-phase induction motors,” IEEE Trans. Energy Convers., vol. 20, no. 3, pp. 611–619, 2005, doi: 10.1109/TEC.2005.847975.
R. M. Utomo, I. Made Yulistya Negara, D. A. Asfani, and N. R. Alham, “Wavelet Filter Selection Analysis for Air Gap Eccentricity in Three Phase Induction Motor,” Proceeding - 2018 Int. Semin. Intell. Technol. Its Appl. ISITIA 2018, pp. 199–204, 2018.
B. Yazici and G. B. Kliman, “An adaptive statistical time-frequency method for detection of broken bars and bearing faults in motors using stator current,” IEEE Trans. Ind. Appl., vol. 35, no. 2, pp. 442–452, 1999.
Downloads
Published
Issue
Section
License
Copyright
Submission of a manuscript implies that the submitted work has not been published before (except as part of a thesis or report, or abstract); that it is not under consideration for publication elsewhere; that its publication has been approved by all co-authors. If and when the manuscript is accepted for publication, the author(s) still hold the copyright and retain publishing rights without restrictions. Authors or others are allowed to multiply article as long as not for commercial purposes. For the new invention, authors are suggested to manage its patent before published. The license type is CC-BY-NC 4.0.
Disclaimer
No responsibility is assumed by publisher and co-publishers, nor by the editors for any injury and/or damage to persons or property as a result of any actual or alleged libelous statements, infringement of intellectual property or privacy rights, or products liability, whether resulting from negligence or otherwise, or from any use or operation of any ideas, instructions, procedures, products or methods contained in the material therein.
