Journal ArticleDOI
A DOST based approach for the condition monitoring of 11 kV distribution line insulators
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TLDR
In this article, an image processing based video surveillance (VS) is incorporated to dispense with the cumbersome and time consuming conventional manual on-site detection using discrete orthogonal S-transform (DOST) in conjunction with some intelligent classification algorithms to ascertain the condition of the insulators.Abstract:
The diminishing trend of reliability owing to possible power system failures has become a serious concern for the power system as a whole. It has necessitated the development of advanced protection methodologies employing advanced information technology and substation monitoring system (SMS) constitutes an integral part of such methodologies. The proposed scheme for condition monitoring of insulators, which serves as an augmented feature of SMS, aims at alleviating overall system reliability as well as power quality because cracked insulators cause disruption of power, thereby incurring heavy loss to the power system utilities. The image processing based video surveillance (VS) is incorporated to dispense with the cumbersome and time consuming conventional manual on-site detection using discrete orthogonal S-transform (DOST) in conjunction with some intelligent classification algorithms to ascertain the condition of the insulators.read more
Citations
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Journal ArticleDOI
Insulator Detection in Aerial Images for Transmission Line Inspection Using Single Shot Multibox Detector
TL;DR: The results show that both the porcelain insulator and composite insulator can be quickly and accurately identified in the aerial images with complex background.
Journal ArticleDOI
A meta-cognitive sequential learning algorithm for neuro-fuzzy inference system
K. Subramanian,Sundaram Suresh +1 more
TL;DR: A meta-cognitive sequential learning algorithm for a neuro-fuzzy inference system, referred to as McFIS, shows the superior generalization performance of McFIS compared to existing algorithms.
Proceedings ArticleDOI
Multi-patch deep features for power line insulator status classification from aerial images
TL;DR: A CNN model with multi-patch feature extraction method is applied to represent the status of insulators and a Support Vector Machine (SVM) is trained based on these features.
Journal ArticleDOI
Fault detection of insulator based on saliency and adaptive morphology
TL;DR: An adaptive learning scheme which learns the saliency and morphology in a unified adaptive framework is proposed which suits the Unmanned Aerial Vehicle (UAV) patrol device well and can process most of the circumstances with 92 % accuracy.
Journal ArticleDOI
Localization of multiple insulators by orientation angle detection and binary shape prior knowledge
Zhenbing Zhao,Liu Ning,Le Wang +2 more
TL;DR: In this article, the authors proposed a localization method of multiple insulators with different angles in complex aerial image based on Orientation Angle Detection and Binary Shape Prior Knowledge (OAD-BSPK).
References
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Journal Article
Localisation of the complex spectrum : The S transform
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Introduction to the special section on video surveillance
TL;DR: The 11 papers in this special section illustrate topics and techniques at the forefront of video surveillance research, touching on many of the core topics of computer vision, pattern analysis, and aritificial intelligence.
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A basis for efficient representation of the S-transform
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