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A Computer Program for Fault Diagnosis and Assessment of Quality Insulation Oil in Power Transformer Based Dissolved Gas Analysis

Author

Listed:
  • M. M. YAACOB

    (Universiti Teknologi Malaysia, 81310, UTM Skudai, Johor, Malaysia)

  • AHMED RAISAN HUSSEIN

    (Universiti Teknologi Malaysia, 81310, UTM Skudai, Johor, Malaysia)

  • M. F. OTHMAN

    (Universiti Teknologi Malaysia, 81310, UTM Skudai, Johor, Malaysia)

Abstract

Accurate faults diagnostics and oil insulation evaluation of electrical power transformers for life-long endurance are the key issue. The durability of transformer function is significantly decided by the quality of insulation oil, which deteriorates over time due to temperature fluctuations and moisture contents. Precise determination of faults in early stages and the efficient assessment of oil excellence in protecting transformers from potential failures occur during operation that can avoid sizeable economic losses. A computer program using traditional software play important role in this regard. The dissolved gas analysis in oil is a reliable method in the diagnosis of faults and assessing the insulation oil quality in transformers. The safeguarding teams in high voltage stations often suffer from the occurrence of sudden faults that results severe damage and heavy monetary loss. The oil must be appropriately treated to circumvent such failure. A computer program is performed to diagnose the faults and to assess the status of insulation oil quality in power transformers. A suitable treatment is achieved via Roger’s ratio method, IEC ratio method and doernenburg ratio method depending on the dissolved gas analysis in the oil. The use of the C ++ program and windows easy process to use, and is highly enough for fault diagnosis and oil quality evaluation. The programing is capable of assessing the oil quality as per IEEE standard and C57-104 -1991 and IEC standard 599 specifications.

Suggested Citation

  • M. M. Yaacob & Ahmed Raisan Hussein & M. F. Othman, 2015. "A Computer Program for Fault Diagnosis and Assessment of Quality Insulation Oil in Power Transformer Based Dissolved Gas Analysis," International Journal of Technology and Engineering Studies, PROF.IR.DR.Mohid Jailani Mohd Nor, vol. 1(3), pages 98-106.
  • Handle: RePEc:apa:ijtess:2015:p:98-106
    DOI: 10.20469/ijtes.40005-3
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    Cited by:

    1. C. Camilleri & A. Rochman, 2019. "Defect formation in EBM parts built at different orientation," Journal of Advances in Technology and Engineering Research, A/Professor Akbar A. Khatibi, vol. 5(3), pages 125-134.
    2. Al-Canaan Amer & Khoumsi Ahmed, 2018. "Towards designing high-performance restful multime- dia web services on FPGA," Journal of Advances in Technology and Engineering Research, A/Professor Akbar A. Khatibi, vol. 4(3), pages 111-117.

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