Adaptive-Network-Based Fuzzy Inference System Application to Estimate the Flashover Voltage on Insulator

Erenturk K.

INSTRUMENTATION SCIENCE & TECHNOLOGY, cilt.37, sa.4, ss.446-461, 2009 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 37 Sayı: 4
  • Basım Tarihi: 2009
  • Doi Numarası: 10.1080/10739140903087873
  • Dergi Adı: INSTRUMENTATION SCIENCE & TECHNOLOGY
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.446-461
  • Atatürk Üniversitesi Adresli: Evet

Özet

This paper presents application of adaptive network based fuzzy inference system (ANFIS) to estimate critical flashover voltage on polluted insulators. Diameter, height, creepage distance, form factor and equivalent salt deposit density were used as input variables for ANFIS, and critical flashover voltage was estimated. In order to train the network and to test its performance, the data sets are derived from experimental results obtained from the literature and a mathematical model. Obtained results were given in both tabulated and graphical form for various cases studies, separately. Satisfactory and more accurate results obtained by using ANFIS to estimate the critical flashover voltage for the considered conditions compared with the previous works. Both test and validation stages were explained in detail and it is observed that estimated results rather close to experimental results.