Analisis Winding Insulation Pada Performa Induksi Motor Tiga Phase Berbasis Logika Fuzzy

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Fajar Pujiyanto

Abstract

The three-phase induction motor is the best option for driving machinery in the industrial world, it was chosen because of its reliability and easy maintenance. Maintaining the performance of induction motors is important to avoid motor malfunctions and maintain industrial production. The performance degradation is due to mechanical, electrical, and environmental influences. Detecting problems early is necessary for repairs to be carried out as soon as possible to avoid further damage. The cause of failure in the winding is influenced by the value of the insulation resistance. Factors causing changes in the IR value are electrical stress, mechanical stress, chemical stress, thermal stress, and environmental contamination. This study discusses the analysis of the performance of the induction motor by the value of insulation deterioration, namely the value of insulation resistance (IR), polarization index (PI) and relative humidity (RH), this is important because the low value of the three components causes a decrease in performance and failure of the induction motor Keywords: Fuzzy logic, Induction motor, Performance, Winding insulation.

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References

Advernesia. (2017). What is MATLAB and its Uses. Article/Id_ID.

Bergmeijer, P. (1992). The International Convention for the Prevention of Pollution from Ships. Ports As Nodal Points in a Global Transport System, 111(50), 259–270. https://doi.org/10.1016/b978-0-08-040994-8.50026-7

Chauvin Arnoux. (2010). Insulation Resistance Testing Guide. 28.

Deshmukh, K. S., Bansal, D. P. K., & Killedar, D. A. (2017). Theory and Analysis of Three Phase Induction Motor using Written Pole Technology. IOSR Journal of Electrical and Electronics Engineering, 12(01), 70–75. https://doi.org/10.9790/1676-1201027075

Gonzalez, E. A., Petráš, I., & Ortigueira, M. D. (2018). Novel polarization index evaluation formula and fractional-order dynamics in electric motor insulation resistance. Fractional Calculus and Applied Analysis, 21(3), 613–627. https://doi.org/10.1515/fca-2018-0033

IEEE. (2000). IEEE Recommended Practice for Testing Insulation Resistance of Electric Machinery IEEE Power and Energy Society. The Institute of Electrical and Electronics Engineers, Inc, 43, 9–14.

Ii, B. A. B., & Teori, L. (n.d.). =217 ( e ) T a. 217, 5–43.

Koji, Y., & Tsuyoshi, T. (2019). Measuring “insulation resistance” for three- phase motor while operating | OMRON TECHNICS | Technology | OMRON Global. 51, 1–6.

Megger. (2006). “ A Stitch in Time...” The Complete Guide to Electrical Insulation Testing. Megger, 23–24.

Naik, V., Singh, S. K., Chawhan, S., Wankhede, J., Nair, A., Balpande, A., Engineering, E., & Nagpur, S. B. J. I. T. M. R. (2017). Routine Test of Three Phase Induction Motor. International Research Journal of Engineering and Technology(IRJET), 4(4), 1745–1751.

Negara, I. M. Y., Asfani, D. A., Fahmi, D., & Siti Sudatul Aisyah, N. (2014). Testing and simulation of motor insulation system under some artificial environmental conditions. International Conference on Electrical Engineering, Computer Science and Informatics (EECSI), 1(July 2015), 286–289. https://doi.org/10.11591/eecsi.1.343

Pratama, A. A., Astriawati, N., Waluyo, P. S., & Wahyudiyana, R. (2022). Optimalisasi Perawatan Sistem Pendingin Mesin Utama Di Kapal MV. Nusantara Pelangi 101. Majalah Ilmiah Bahari Jogja, 20(1), 1–11.

Primer, T. D. M., Connected, D., Voltage, L., & Voltage, H. (n.d.). Three-Phase Dual-Voltage Motor Insulation Resistance Testing.

Sari Hartati, P. R., Manuaba, I. B. G., & Mataram, I. M. (2020). Induction Motor Monitoring System Base on Fuzzy Logic Controller. Journal of Electrical, Electronics and Informatics, 4(1), 15. https://doi.org/10.24843/jeei.2020.v04.i01.p03

Siddiqui, K. M., Sahay, K., & Giri, V. K. (2014). Health Monitoring and Fault Diagnosis in Induction Motor- A Review. International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering, 3(1), 2320–3765.

Sri Kusumadewi, H. P. (2010). Fuzzy logic application for decision support. Graha Ilmu.

Temperatures, C. O. (n.d.). AGN 072 – Environmental Conditions. D, 1–15.

Waide, P., & Brunner, C. U. (2011). Energy-Efficiency Policy Opportunities for Electric Motor-Driven Systems. Internationale Energy Agency, na(na), 132.

Wibowo, W., & Astriawati, N. (2021). Sistem Pendingin Tertutup Pada Mesin Diesel Tipe Diesel MAK 8M32 Sebagai Penggerak Utama Kapal Motor LIT ENTERPRISE. Jurnal POLIMESIN, 19(1), 28–34.