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Abstract

In this paper, a simple reliability model of power transformers is developed with the help of field data that place in evidence, dominating failure modes and mechanisms. Field data failures distribution indicates a dominance of failure modes pertaining to winding insulation, tank oil, load tap changers (LTCs) and bushings. From a reliability point of view, the transformer system consists of four main parts such as winding inter-turn insulation, tank oil, LTCs and bushings. On this basis, a reliability block diagram of the transformer system is built from a series configuration comprising the above mentioned parts. The reliability functions developed for all parts will yield together to the transformer system reliability.

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References

  • Adoghe AU, Awosope COA, EkehA JC (2010) Probabilistic modelling of distribution equipment deterioration; an application to transformer insulation. Int J Eng Technol (IJET-IJENS) 10(4):56–62

  • Aquilino JW (1983) IEEE report of transformer reliability survey-industrial plants and commercial buildings. IEEE Trans Ind Appl IA 19(5):858–866

  • Bossi A (1983) An international survey on failures in large power transformers in service. Final report of CIGRÉ Working Group 12.05, Electra, No. 88, pp 22–48

  • Foata M, Rajotte C, Jolicoeur A (2006) On load tape changer reliability and maintenance strategy. Hydro-Quebec Cigré, Canada

  • Hattangadi AA (1999) Electrical fires and failures. Mc Graw-Hill, NY

    Google Scholar 

  • Lanham C (2002) President, understanding the tests that are recommended for predictive maintenance. Baker Instrument Company, Energy publication, NY, USA

  • Lapworth JA (2006) Transformer reliability surveys. CIGRÉ Biennial Session, Paris

    Google Scholar 

  • Meshkatoddini MR (2008) Aging study and lifetime estimation of transformer mineral oil. Am J Eng Appl Sci 1(4):384–388

    Article  Google Scholar 

  • MIL-HDBK-217 F (1991) Department of Defense, USA

  • Minhas MSA, Reynders JP, de Klerk PJ (1999) Failures in power system transformers and appropriate monitoring technique. In: IEEE high voltage engineering symposium, 22–27 August 1999. Conference publication no. 467

  • Mirzai M, Gholami A, Aminifar F (2006) Failures analysis and reliability calculation for power transformers. J Electr Syst 2(1):1–12

    Google Scholar 

  • Picher P, Rajotte C (2007) Field experience with on-line bushing diagnostic to improve transformer reliability. CIGRE, Bruges

    Google Scholar 

  • Rapports internes de suivi et d’inspection des transformateurs HT (manufacture ENEL) installés dans les postes de distribution Cimenteries de Chlef Algeria

  • Schijndel AV (2010) Power transformer reliability modelling. Technische Universiteit Eindhoven, Eindoven, Denmark

  • Sokolov V, Berler Z, Rashkes V (1999) Effective methods of assessment of insulation system conditions in power transformers, view based on practical experience. In: IEEE Proceedings electrical insulation conference and electrical manufacturing & coil winding conference, 1999 (pp 659–667)

  • Wang M, Vandfermaar AJ, Srivastava KD (2002) Review of condition assessment of power transformers in service. IEEE Electr Insulation Mag 18(6):12–18

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Correspondence to Hamid Bentarzi.

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Chafai, M., Refoufi, L. & Bentarzi, H. Large power transformer reliability modeling. Int J Syst Assur Eng Manag 7 (Suppl 1), 9–17 (2016). https://doi.org/10.1007/s13198-014-0261-2

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  • DOI: https://doi.org/10.1007/s13198-014-0261-2

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