Abstract
In view of increasing demand for reliable and high quality power supply, Tenaga Nasional Berhad Distribution (TNBD) are interested in avoiding transmission failures by identifying problem at an early stage. The monitoring and location of incipient failures on overhead lines, known as Condition Monitoring (CM) is thus imperative. This project about a Condition Monitoring technique for 33KV over headlines using Infrared Thermography Camera and also presented an Artificial Neural Network. So this thesis shows how to define the pole and weather by using the binazy code. A review is given of the techniques of condition monitoring available for 33kV over headlines. The results obtain from infrared camera are given which help assess replacement the condition of 33kV over headlines. The condition monitoring against the operation of over headlines using infrared camera at 33kV level will give data's that is used to determine the overheating and conduction effects in temperature at Bukit Kayu Hitam. The data is also considered to make comfortable condition in the routine test of utilities. Nowadays, electrical utilities are facing a nerve-racking problem. The continuous increase of aged electrical plant population. Serious accidents have occurred worldwide, which caused millions of dollars damages to power industry.
Metadata
Item Type: | Thesis (Degree) |
---|---|
Creators: | Creators Email / ID Num. Mahmud, Faizal Hisham UNSPECIFIED |
Contributors: | Contribution Name Email / ID Num. Thesis advisor Che Mat Harris, Harizan UNSPECIFIED |
Subjects: | T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Electric power distribution. Electric power transmission |
Divisions: | Universiti Teknologi MARA, Shah Alam > Faculty of Electrical Engineering |
Programme: | Bachelor of Electrical Engineering (Hons) |
Keywords: | Condition monitoring, transmission failures, power supply |
Date: | 2003 |
URI: | https://ir.uitm.edu.my/id/eprint/78502 |
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