Title: Power system insulator condition monitoring automation using mean shift tracker-FIS combined approach

Authors: Velaga Sreerama Murthy; Dusmanta Kumar Mohanta; Sumit Gupta

Addresses: Department of Computer Science and Engineering, GMR Institute of Technology, GMR Nagar, Rajam-532127, Srikakulam District, Andhra Pradesh, India. ' Department of Electrical and Electronics Engineering, Birla Institute of Technology, Mesra, Ranchi-835215, India. ' Department of Computer Science and Engineering, M.V.G.R. College of Engineering, Vizianagaram-535005, India

Abstract: Within the hierarchy of power system, distribution system automation plays a crucial role to provide reliable service to customers. Though initially computer aided automation started as substation monitoring system (SMS) just for monitoring some key parameters such as voltage and currents of different components in a substation, the technological advancement has enabled to have access to more features from components of the entire distribution system. Since the distribution system has expanded to cater power to even remote locations, thus for reliable power supply, insulator condition monitoring automation plays an important role because the failure of insulator either causes complete disruption of power or reduction of system voltage leading to heavy power losses. This paper presents a methodology for condition monitoring automation of insulators by a combined approach using mean shift tracker and fuzzy inference system (FIS) and the case studies validate the efficacy of the methodology.

Keywords: mean shift tracker; fuzzy inference system; FIS; insulator condition monitoring; distribution system automation; DSA; video surveillance; power systems; condition monitoring automation; insulators.

DOI: 10.1504/IJCAET.2013.050550

International Journal of Computer Aided Engineering and Technology, 2013 Vol.5 No.1, pp.1 - 19

Published online: 30 Jan 2014 *

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