Identification of cables insulator degradation using partial discharge and fuzzy logic technique / Ahmad Syahril Mohd Nawawi

Identification of cables insulator degradation using partial discharge and fuzzy logic technique / Ahmad Syahril Mohd Nawawi

This paper described a new technique to identify insulator's cable condition using ultrasonic sensor and fuzzy logic. Ultrasonic sensor produced the signal that can indicate the level of degradation of cable insulator. Then the signal is transferred to the personal computer (PC) by using the co...

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Main Author: Mohd Nawawi, Ahmad Syahril
Format: Thesis
Language:English
Published: 2004
Online Access:https://ir.uitm.edu.my/id/eprint/84580/1/84580.pdf
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spelling my-uitm-ir.845802024-01-30T08:49:02Z Identification of cables insulator degradation using partial discharge and fuzzy logic technique / Ahmad Syahril Mohd Nawawi 2004 Mohd Nawawi, Ahmad Syahril This paper described a new technique to identify insulator's cable condition using ultrasonic sensor and fuzzy logic. Ultrasonic sensor produced the signal that can indicate the level of degradation of cable insulator. Then the signal is transferred to the personal computer (PC) by using the computer microphone. The transferred signal then being stored Matrix Laboratory (MATLAB) workspace folder for further analysis. The application of Discrete Wavelet Transform (DWT) is used to extract the feature of the ultrasonic signal. Finally, the Fuzzy Logic (FL) from MATLAB simulation software is being proposed as a classification to differentiate between normal cable and fault cable. FL is capable to classify the signal by developing and appropriate rule and function. 2004 Thesis https://ir.uitm.edu.my/id/eprint/84580/ https://ir.uitm.edu.my/id/eprint/84580/1/84580.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Abidin, Farid
institution Universiti Teknologi MARA
collection UiTM Institutional Repository
language English
advisor Abidin, Farid
description This paper described a new technique to identify insulator's cable condition using ultrasonic sensor and fuzzy logic. Ultrasonic sensor produced the signal that can indicate the level of degradation of cable insulator. Then the signal is transferred to the personal computer (PC) by using the computer microphone. The transferred signal then being stored Matrix Laboratory (MATLAB) workspace folder for further analysis. The application of Discrete Wavelet Transform (DWT) is used to extract the feature of the ultrasonic signal. Finally, the Fuzzy Logic (FL) from MATLAB simulation software is being proposed as a classification to differentiate between normal cable and fault cable. FL is capable to classify the signal by developing and appropriate rule and function.
format Thesis
qualification_level Bachelor degree
author Mohd Nawawi, Ahmad Syahril
spellingShingle Mohd Nawawi, Ahmad Syahril
Identification of cables insulator degradation using partial discharge and fuzzy logic technique / Ahmad Syahril Mohd Nawawi
author_facet Mohd Nawawi, Ahmad Syahril
author_sort Mohd Nawawi, Ahmad Syahril
title Identification of cables insulator degradation using partial discharge and fuzzy logic technique / Ahmad Syahril Mohd Nawawi
title_short Identification of cables insulator degradation using partial discharge and fuzzy logic technique / Ahmad Syahril Mohd Nawawi
title_full Identification of cables insulator degradation using partial discharge and fuzzy logic technique / Ahmad Syahril Mohd Nawawi
title_fullStr Identification of cables insulator degradation using partial discharge and fuzzy logic technique / Ahmad Syahril Mohd Nawawi
title_full_unstemmed Identification of cables insulator degradation using partial discharge and fuzzy logic technique / Ahmad Syahril Mohd Nawawi
title_sort identification of cables insulator degradation using partial discharge and fuzzy logic technique / ahmad syahril mohd nawawi
granting_institution Universiti Teknologi MARA (UiTM)
granting_department Faculty of Electrical Engineering
publishDate 2004
url https://ir.uitm.edu.my/id/eprint/84580/1/84580.pdf
_version_ 1794192024954470400

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