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Completed Research Projects

 

Project Title:
Partial discharge measurement within a void in a dielectric material of a cable insulation geometry
 
Project descriptions:
Partial discharge measurement has become an invaluable tool for monitoring the insulation condition of high voltage components in service. Particularly it is important for factories and for utilities to get an indication of the time to breakdown. The test on cable system is usually a voltage test but in order to enhance the quality of insulation many researchers have proposed performance test such as detection, location and identification of Partial discharge. In this work, a model for a spherical void within a dielectric material of a cable Insulation is developed using Finite Element Analysis (FEA) software in parallel with MATLAB programming code. The model is used to study the effect of various applied stresses and void conditions on PD activity and also the electric field and temperature distributions within a void. Measurement results are performed on artificial XLPE cable model in the laboratory and are compared with computer simulation results based on physical model.

 

Date of Project: November 2012 - January 2016

 

 

Project Title:
Wavelet transform and artificial intelligence based for partial discharge patterns recognition in high voltage solid insulation

Project Descriptions:
In this project, three types of partial discharge (PD) are classified and identified using various methods of signal de-noising and artificial intelligence techniques. Different types of data extracted from PD pulses are utilised in the artificial intelligence to identify PD types. Comparison is made between different techniques to determine which technique yields the highest accuracy in term of correct PD type identification. This application can be used by industries to determine type of PD in high voltage insulation system in a quick and accurate manner.


Date of Project: September 2013 - March 2016

 

 

 

 

Project Title:
Energy Discharge Capability of Surge Arrester on a 132 kV Transmission Line in Malaysia

Project Descriptions:
Installation of surge arrester has been the most effective solution in improving the lightning performance of overhead transmission lines in Malaysia. However, severe lightning environment might lead to higher degradation rate of the surge arrester, which significantly influences its protection level. In this work, a study is conducted on the arrester withstand capability against the combined effects of AC electrical stress and surge overvoltage. The performance under different kinds of lightning energy stress is studied as many arresters in nowadays have specific energy discharge capabilities. The electrical and thermal stability of the arrester is evaluated using finite element analysis (FEA) software. Discharge characteristics are simulated using Electromagnetic Transient Program to determine the most effective arrester protection design in minimizing the line outages due to lightning.

 
Date of Project: March 2012 - July 2016

 

 

Project Title:
Partial discharge classification in 11 kV XLPE cable joints using  artificial intelligence based techniques

Project descriptions:
A condition monitoring (CM) system, which integrates wavelet analysis and artificial intelligent techniques to analyze the partial discharge (PD) patterns and classify the types of PD in 11 kV 3 core XLPE cable insulation is developed in this work. Several types of defects are artificially introduced in the cable insulation to create different types of PD (void, surface and corona). Wavelet transform is employed to de-noise the PD signals. The performance of several well tried wavelets is investigated. Different feature extraction methods are applied to the de-noised PD signals to form pattern vectors, which are used as the inputs to a proposed neural network based classifier to identify the types of PD patterns. Lastly, the performance of the proposed CM system is verified with another sets of data obtained from different PD sources.

 

Date of Project: September 2013 - August 2016

 


 
 
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