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A Single Perceptron Smart Sensor Technique for Pre-fault Monitoring System in an Indoor Substation

Single Perceptron Smart Sensor (SPSS) is a new Ultra-High Frequency (UHF) sensor developed to significantly improve the pre-fault monitoring system for early detection, localization, and identification of the Corona and Arcs Electric Discharges (EDs) in an indoor substation. Corona and Arcs ED const...

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Main Author: Lorothy, Morrison Buah Singkang
Format: Thesis
Language:English
English
English
Published: University Malaysia Sarawak 2024
Subjects:
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://ir.unimas.my/id/eprint/45389/3/DOW_Lorothy%20anak%20Morrison%20Buah.pdf
http://ir.unimas.my/id/eprint/45389/4/Thesis%20PhD_Lorothy%20Morrison%20Buah%20-%2024%20pages.pdf
http://ir.unimas.my/id/eprint/45389/5/Thesis%20PhD_Lorothy%20Morrison%20Buah.ftext.pdf
http://ir.unimas.my/id/eprint/45389/
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spelling my.unimas.ir.453892024-08-13T00:19:13Z http://ir.unimas.my/id/eprint/45389/ A Single Perceptron Smart Sensor Technique for Pre-fault Monitoring System in an Indoor Substation Lorothy, Morrison Buah Singkang TK Electrical engineering. Electronics Nuclear engineering Single Perceptron Smart Sensor (SPSS) is a new Ultra-High Frequency (UHF) sensor developed to significantly improve the pre-fault monitoring system for early detection, localization, and identification of the Corona and Arcs Electric Discharges (EDs) in an indoor substation. Corona and Arcs ED constitute a significant threat to electrical safety, the apparatus, and the stability of a power system due to the aging and material degradation in the power apparatus. Hence, an early preventive approach must be performed effectively for pre-fault threat detection. In this research, a novel pre-fault monitoring system utilizing SPSS is developed, embedding a novel Signal Identifier Technique for the Corona and Arcs ED detection, localization, and identification. The SPSS formation integrates a 2-element Linear Array Antenna with a Single Perceptron-Artificial Neural Network (SP-ANN). It detects and localizes the Corona and Arc ED signals based on the Direction of Arrival (DOA) angle. The SP-ANN utilizes a single-layer neuron with less complexity, speedy detection, and localization within seconds. The waveform-based signal feature extraction uses the Signal Identifier Technique for signal identification. Since the frequency range of the Corona and Arcs is undecidable, the accuracy of the pre-fault monitoring is tested for the Corona and Arcs ED at a sampling frequency of 300 MHz to 3 GHz. The SPSS has revealed an accuracy of 99.86% for signal identification with minimal computational complexity, thus giving another practical wireless technique for UHF signal interpretation. University Malaysia Sarawak 2024-07-26 Thesis NonPeerReviewed text en http://ir.unimas.my/id/eprint/45389/3/DOW_Lorothy%20anak%20Morrison%20Buah.pdf text en http://ir.unimas.my/id/eprint/45389/4/Thesis%20PhD_Lorothy%20Morrison%20Buah%20-%2024%20pages.pdf text en http://ir.unimas.my/id/eprint/45389/5/Thesis%20PhD_Lorothy%20Morrison%20Buah.ftext.pdf Lorothy, Morrison Buah Singkang (2024) A Single Perceptron Smart Sensor Technique for Pre-fault Monitoring System in an Indoor Substation. PhD thesis, University Malaysia Sarawak.
institution Universiti Malaysia Sarawak
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
url_provider http://ir.unimas.my/
language English
English
English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Lorothy, Morrison Buah Singkang
A Single Perceptron Smart Sensor Technique for Pre-fault Monitoring System in an Indoor Substation
description Single Perceptron Smart Sensor (SPSS) is a new Ultra-High Frequency (UHF) sensor developed to significantly improve the pre-fault monitoring system for early detection, localization, and identification of the Corona and Arcs Electric Discharges (EDs) in an indoor substation. Corona and Arcs ED constitute a significant threat to electrical safety, the apparatus, and the stability of a power system due to the aging and material degradation in the power apparatus. Hence, an early preventive approach must be performed effectively for pre-fault threat detection. In this research, a novel pre-fault monitoring system utilizing SPSS is developed, embedding a novel Signal Identifier Technique for the Corona and Arcs ED detection, localization, and identification. The SPSS formation integrates a 2-element Linear Array Antenna with a Single Perceptron-Artificial Neural Network (SP-ANN). It detects and localizes the Corona and Arc ED signals based on the Direction of Arrival (DOA) angle. The SP-ANN utilizes a single-layer neuron with less complexity, speedy detection, and localization within seconds. The waveform-based signal feature extraction uses the Signal Identifier Technique for signal identification. Since the frequency range of the Corona and Arcs is undecidable, the accuracy of the pre-fault monitoring is tested for the Corona and Arcs ED at a sampling frequency of 300 MHz to 3 GHz. The SPSS has revealed an accuracy of 99.86% for signal identification with minimal computational complexity, thus giving another practical wireless technique for UHF signal interpretation.
format Thesis
author Lorothy, Morrison Buah Singkang
author_facet Lorothy, Morrison Buah Singkang
author_sort Lorothy, Morrison Buah Singkang
title A Single Perceptron Smart Sensor Technique for Pre-fault Monitoring System in an Indoor Substation
title_short A Single Perceptron Smart Sensor Technique for Pre-fault Monitoring System in an Indoor Substation
title_full A Single Perceptron Smart Sensor Technique for Pre-fault Monitoring System in an Indoor Substation
title_fullStr A Single Perceptron Smart Sensor Technique for Pre-fault Monitoring System in an Indoor Substation
title_full_unstemmed A Single Perceptron Smart Sensor Technique for Pre-fault Monitoring System in an Indoor Substation
title_sort single perceptron smart sensor technique for pre-fault monitoring system in an indoor substation
publisher University Malaysia Sarawak
publishDate 2024
url http://ir.unimas.my/id/eprint/45389/3/DOW_Lorothy%20anak%20Morrison%20Buah.pdf
http://ir.unimas.my/id/eprint/45389/4/Thesis%20PhD_Lorothy%20Morrison%20Buah%20-%2024%20pages.pdf
http://ir.unimas.my/id/eprint/45389/5/Thesis%20PhD_Lorothy%20Morrison%20Buah.ftext.pdf
http://ir.unimas.my/id/eprint/45389/
_version_ 1808981498401914880
score 13.211869

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