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Fuzzy Logic-Based Decision Making for Selection of Optimized Liquid Insulation Blend

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Soft Computing in Data Analytics

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 758))

Abstract

The introduction of ester oils replaces existing liquid insulation system (mineral oil) in transformers. Since ester oils are eco-friendly and biodegradable in nature. In this work, mineral oil and rapeseed oil are used as base fluids. Further, MO and RO are blended together at various ratios from 10 to 90%. The important characteristics like breakdown voltage, acidity, and dielectric loss of the oil samples are analyzed. Using fuzzy logic method, best optimistic liquid insulation sample is identified.

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References

  1. Fofana, I.: 50 years in the development of insulating liquids. IEEE Electr. Insul. Mag. 29(5), 13–25 (2013)

    Article  Google Scholar 

  2. Madavan, R., Balaraman, S.: Investigation on effects of different types of nanoparticles on critical parameters of nano-liquid insulation systems. J. Mol. Liq. 230, 437–444 (2017)

    Article  Google Scholar 

  3. Madavan, R., Balaraman, S.: Comparison of antioxidant influence on mineral oil and natural ester properties under accelerated aging conditions. IEEE Trans. Dielectr. Electr. Insul. 24(5), 2800–2808 (2017)

    Article  Google Scholar 

  4. Karthik, R., Raja, T.S.R., Shunmugam, S.S., Sudhakar, T.: Performance evaluation of ester oil and mixed insulating fluids. J. Inst. Eng. India Ser. B 93(3), 173–178 (2012)

    Google Scholar 

  5. Fofana, I.: Challenge of mixed insulating liquids for use in high-voltage transformers, Part 2: investigations of mixed liquid impregnated paper insulation. IEEE Electr. Insul. Mag. 18(4), 5–16 (2002)

    Article  Google Scholar 

  6. Tanaka, K.: An Introduction to Fuzzy Logic for Practical Applications. Springer, New York (1996)

    MATH  Google Scholar 

  7. Madavan, R., Balaraman, S.: Failure analysis of transformer liquid—solid insulation system under selective environmental conditions using Weibull statistics method. Eng. Fail. Anal. 65, 26–38 (2016)

    Article  Google Scholar 

  8. Madavan, R., Balaraman, S., Saroja, S.: Multi criteria decision making methods for ranking the liquid insulation system based on its performance characteristics with anti-oxidants under accelerated aging conditions. IET Gener. Trans. Distrib. 11(16), 4051–4058 (2017)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Electrical and Electronics Engineering, Government College of Technology, Coimbatore, 641013, India

    S. Vedhanayaki & Sujatha Balaraman

  2. Department of Electrical and Electronics Engineering, P.S.R. Engineering College, Sivakasi, 626140, India

    R. Madavan, S. Ramesh & K. Valarmathi

  3. Department of Information Technology, MEPCO Schlenk Engineering College, Sivakasi, 626005, India

    S. Saroja

Authors
  1. S. Vedhanayaki
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  2. R. Madavan
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  3. Sujatha Balaraman
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  4. S. Saroja
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  5. S. Ramesh
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  6. K. Valarmathi
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Corresponding author

Correspondence to R. Madavan .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Sri Sivani College of Engineering, Srikakulam, Andhra Pradesh, India

    Janmenjoy Nayak

  2. Machine Intelligence Research Labs (MIR Labs), Scientific Network for Innovation and Research Excellence, Washington, USA

    Ajith Abraham

  3. Department of Mechanical Engineering, Sri Sivani College of Engineering, Srikakulam, Andhra Pradesh, India

    B. Murali Krishna

  4. Department of Electrical and Electronics Engineering, Sri Sivani College of Engineering, Srikakulam, Andhra Pradesh, India

    G. T. Chandra Sekhar

  5. Department of Computer Science and Technology, Indian Institute of Engineering Science and Technology (IIEST), Shibpur, Howrah, West Bengal, India

    Asit Kumar Das

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Vedhanayaki, S., Madavan, R., Balaraman, S., Saroja, S., Ramesh, S., Valarmathi, K. (2019). Fuzzy Logic-Based Decision Making for Selection of Optimized Liquid Insulation Blend. In: Nayak, J., Abraham, A., Krishna, B., Chandra Sekhar, G., Das, A. (eds) Soft Computing in Data Analytics . Advances in Intelligent Systems and Computing, vol 758. Springer, Singapore. https://doi.org/10.1007/978-981-13-0514-6_53

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