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Original Articles

Prediction of Flashover Voltage of Contaminated Insulator Using Artificial Neural Networks

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Pages 831-840 | Accepted 19 Dec 2005, Published online: 23 Feb 2007

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Mousalreza Faramarzi Palangar & Mohammad Mirzaie. (2016) Detection of Critical Conditions in Ceramic Insulators Based on Harmonic Analysis of Leakage Current. Electric Power Components and Systems 44:16, pages 1854-1864.
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Articles from other publishers (5)

Ali. A. Salem, R. Abd-Rahman, M. S. Kamarudin, N. A. Othman, N. A. M. Jamail, N. Hussin, H. A. Hamid & I. M. Rawi. 2021. Proceedings of the 11th National Technical Seminar on Unmanned System Technology 2019. Proceedings of the 11th National Technical Seminar on Unmanned System Technology 2019 1053 1065 .
Mousalreza Faramarzi Palangar & Mohammad Mirzaie. (2016) Diagnosis of porcelain and glass insulators conditions using phase angle index based on experimental tests. IEEE Transactions on Dielectrics and Electrical Insulation 23:3, pages 1460-1466.
Crossref
C. Muniraj & S. Chandrasekar. (2011) Adaptive Neurofuzzy Inference System-Based Pollution Severity Prediction of Polymeric Insulators in Power Transmission Lines. Advances in Artificial Neural Systems 2011, pages 1-9.
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C. Muniraj & S. Chandrasekar. (2010) Condition monitoring of outdoor polymeric insulators using wavelets and ANFIS. Condition monitoring of outdoor polymeric insulators using wavelets and ANFIS.
Rajiv K. Varma, Wayne Litzenberger & Judy Bolton. (2008) Bibliography of HVDC transmission: 1999 IEEE Working Group teport. Bibliography of HVDC transmission: 1999 IEEE Working Group teport.

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