Adaptive Neurofuzzy Inference System-Based Pollution Severity Prediction of Polymeric Insulators in Power Transmission Lines
Joint Authors
Source
Advances in Artificial Neural Systems
Issue
Vol. 2011, Issue 2011 (31 Dec. 2011), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2011-08-09
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Information Technology and Computer Science
Abstract EN
This paper presents the prediction of pollution severity of the polymeric insulators used in power transmission lines using adaptive neurofuzzy inference system (ANFIS) model.
In this work, laboratory-based pollution performance tests were carried out on 11 kV silicone rubber polymeric insulator under AC voltage at different pollution levels with sodium chloride as a contaminant.
Leakage current was measured during the laboratory tests.
Time domain and frequency domain characteristics of leakage current, such as mean value, maximum value, standard deviation, and total harmonics distortion (THD), have been extracted, which jointly describe the pollution severity of the polymeric insulator surface.
Leakage current characteristics are used as the inputs of ANFIS model.
The pollution severity index “equivalent salt deposit density” (ESDD) is used as the output of the proposed model.
Results of the research can give sufficient prewarning time before pollution flashover and help in the condition based maintenance (CBM) chart preparation.
American Psychological Association (APA)
Muniraj, C.& Chandrasekar, S.. 2011. Adaptive Neurofuzzy Inference System-Based Pollution Severity Prediction of Polymeric Insulators in Power Transmission Lines. Advances in Artificial Neural Systems،Vol. 2011, no. 2011, pp.1-9.
https://search.emarefa.net/detail/BIM-471743
Modern Language Association (MLA)
Muniraj, C.& Chandrasekar, S.. Adaptive Neurofuzzy Inference System-Based Pollution Severity Prediction of Polymeric Insulators in Power Transmission Lines. Advances in Artificial Neural Systems No. 2011 (2011), pp.1-9.
https://search.emarefa.net/detail/BIM-471743
American Medical Association (AMA)
Muniraj, C.& Chandrasekar, S.. Adaptive Neurofuzzy Inference System-Based Pollution Severity Prediction of Polymeric Insulators in Power Transmission Lines. Advances in Artificial Neural Systems. 2011. Vol. 2011, no. 2011, pp.1-9.
https://search.emarefa.net/detail/BIM-471743
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-471743