[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.5370/JEET.2014.9.1.259

A New Reliable Algorithm for Identifying Types of Partial Discharge Detected through Ultrasonic Emission

Hapeez, Mohammad Shukri (Faculty of Electrical Engineering, University Teknologi MARA)
Hamzah, Ngah Ramzi (Faculty of Electrical Engineering, University Teknologi MARA)
Hashim, Habibah (Faculty of Electrical Engineering, University Teknologi MARA)
Abidin, Ahmad Farid (Faculty of Electrical Engineering, University Teknologi MARA)

Publication Information

Journal of Electrical Engineering and Technology / v.9, no.1, 2014 , pp. 259-267 More about this Journal

Abstract

This paper presents a simple, consistent and reliable technique to identify detected partial discharges (PD) using an acoustic ultrasonic method. A new reliable algorithm named 'Simple Partial Discharge Identifier' (SPDI) is proposed to perform identification process of the detected ultrasonic signals of PD. Experimental works based on recommended practices were setup and the ultrasonic signals of the PD were recorded. The PD data is then employed as the reference data. The SPDI developed has been tested against commonly used models in Neural Network (NN). Results from the SPDI algorithm shows more reliable results compared to NN models results. Comparison made on the mean square error (MSE) results shows SPDI produces the desired outcome with lower MSE in 97.17% of trials. Low error of SPDI indicates a high reliability to be applied in the identification of PD.

Keywords

Partial Discharge; SPDI; Identification; Acoustic Emission;

Citations & Related Records

Reference

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