TRANSFORMER RELIABILITY ANALYSIS USING THE WEIBULL DISTRIBUTION METHOD (CASE STUDY OF THE POWER TRANSFORMER AT THE KOTA BARU PONTIANAK SUBSTATION)
DOI:
https://doi.org/10.26418/telectrical.v2i2.83889Keywords:
Transformer, Weibull Distribution, Reliability, Failure Rate, MTTFAbstract
Reliability is the probability that a component or system will be able to operate according to the desired function for a certain period of time when used under specified operating conditions. To determine reliability in operational terms, a more specific definition is needed, namely a description of the failure that is not confusing and can be observed, identification of the time unit, and the system being observed must be in normal environmental and operating conditions. Transformer reliability is greatly influenced by two things, namely disruption and maintenance of the transformer. Scheduled and regular maintenance can increase transformer reliability, however incomplete and poorly scheduled maintenance will result in the transformer not operating or serving more often. The Weibull distribution is a distribution that has an important role, especially in matters of reliability and maintainability analysis. The Weibull distribution is often used as an approach to determine the characteristics of the damage function because changes in value will result in the Weibull distribution having certain properties or being equivalent to a certain distribution. This distribution is a versatile distribution that can take on the characteristics of other types of distribution, based on the values of the form parameters. The Weibull distribution has several reliability indices such as failure rate and MTTF (Mean Time To Failure). Based on the calculation results, power transformer 1 has an average failure rate of 0.0015 times/day, and an MTTF of 714.0685 days or 1.9564 years. Meanwhile, power transformer 3 has a failure rate of 0.0009 times/day, and an MTTF of 1587.6033 days or 4.3496 years. It can be said that power transformer 3 has much better failure rate and MTTF values than power transformer 1. The results shows that power transformer 3 shows better overall performance with a lower failure rate and higher MTTF.
References
M. A. Ramadhan, “Analisis Keandalan Trarsformator Daya Menggunakan Metode Distribusi Weibull ( Aplikasi PT. PLN (PERSERO) Gardu Induk Paya Pasir),†Medan, Apr. 2017. Accessed: Aug. 13, 2024. [Online]. Available: http://repository.umsu.ac.id/bitstream/handle/123456789/12541/SKRIPSI.pdf?sequence=1&isAllowed=y
F. Tamara, “Analisis Prediksi Waktu Kegagalan Transformator Menggunakan Distribusi Weibull dan Distribusi Eksponensial,†Depok, 2014.
U. Unaijah and S. Darwis, “Prediksi Sisa Umur Bearing Menggunakan Distribusi Weibull,†Jurnal Riset Statistika, pp. 73–81, Jul. 2022, doi: 10.29313/jrs.vi.909.
D. Setiawan, U. Situmeang, and A. Ali, “ANALISIS KEANDALAN TRANSFORMATOR DAYA 60 MVA MENGGUNAKAN METODE DISTRIBUSI WEIBULL,†2019.
A. Suryatman Margana and M. Fahmi Suhendar, “Analisis Manajemen Perawatan Menggunakan Perhitungan Distribusi Weibull Pada Air Cooled Chiller FMC 20,†2021.
Suryadi and Firdaus, “Analisis Keandalan Transformator Daya Menggunakan Metode Distribusi Weibull Di Gardu Induk Garuda Sakti Pekanbaru,†2017.
W. Mahendra, Tachrir, and Bunyamin, “STUDI KEANDALAN TRANSFORMATOR 60 MVA KENDARI NEW,†Jurnal Fokus Elektroda, vol. 07, no. 01, pp. 51–54, 2022, [Online]. Available: http://ojs.uho.ac.id/index.php/jfe/
A. Musdalifa, Raupong, and Islamiyati Anna, “ESTIMASI PARAMETER DISTRIBUSI WEIBULL DENGAN TRANSFORMASI MODEL REGRESI MENGGUNAKAN METODE KUADRAT TERKECIL LINIER,†Jurnal Matematika, Statistika & Komputasi, 2013.
W. R. Blischke and D. N. P. Murthy, Reliability: Modeling, Prediction, and Optimization. in Wiley Series in Probability and Statistics. Wiley, 2011. [Online]. Available: https://books.google.co.id/books?id=jXsSUt0ODucC
C. E. Ebeling, An Introduction to Reliability and Maintainability Engineering: Third Edition. Waveland Press, 2019. [Online]. Available: https://books.google.co.id/books?id=rh2WDwAAQBAJ
Zuhal, Dasar Teknik Tenaga Listrik dan Elektronika Daya, 6th ed. Jakarta: PT Gramedia Pustaka Utama, 2000.
PT PLN (Persero) P3B, “Panduan Pemeliharaan Trafo Tenaga,†Jun. 2003.
L. G. Otaya, “Distribusi Probabilitas Weibull Dan Aplikasinya (Pada Persoalan Keandalan (Reliability) Dan Analisis Rawatan (Mantainability)),†2016.
H. Sh Solari, B. Majidi, and M. Moazzami, “Optimal Estimation of Weibull Distribution Parameters in order to Provide Preventive-Corrective Maintenance Program for Power Transformers,†Iranian Journal of Electrical and Electronic Engineering, vol. 15, no. 4, pp. 536–544, Dec. 2019.
A. Furqon, “ANALISIS REGRESI WEIBULL UNTUK MENGETAHUI FAKTOR-FAKTOR YANG MEMPENGARUHI LAJU PERBAIKAN KONDISI KLINIS PENDERITA STROKE (STUDI KASUS RSU HAJI SURABAYA),†Surabaya, 2014.
Dr. R. B. Abernethy, J. E. Breneman, C. H. Medlin, and G. L. Reinman, Weibull Analysis Handbook. Florida: United Technologies Corporation, 1993.
B. S. Dhillon, Reliability, Quality, and Safety for Engineers. CRC Press, 2005.
E. A. Elsayed, “RELIABILITY AND HAZARD FUNCTIONS,†John Wiley & Sons, Inc., 2012, ch. 1.
Downloads
Published
Issue
Section
License
Copyright (c) 2024 Telecommunications, Computers, and Electricals Engineering Journal (TELECTRICAL)
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Authors who publish with this journal agree to the following terms:
- Copyright of the published articles will be transferred to the journal as the publisher of the manuscripts. Therefore, the author confirms that the copyright has been managed by the publisher.
- Publisher of TELECTRICAL is Universitas Tanjungpura.
- The copyright follows Creative Commons Attribution"“ShareAlike License (CC BY SA): This license allows to Share "” copy and redistribute the material in any medium or format, Adapt "” remix, transform, and build upon the material, for any purpose, even commercially.
Telecommunications, Computers, and Electricals Engineering Journal by Universitas Tanjungpura is licensed under CC BY-SA 4.0
