Journal Article

Recognition of single and multiple partial discharge sources in transformers based on ultra-high frequency signals

Blackburn, Trevor R., Sinaga, Herman H., Phung, B.T.

2014

Overview

Partial discharge (PD) is a symptom of insulation defect or degradation in high-voltage equipment. Thus, PD detection is an important diagnostic tool. Furthermore in practical situations, the PD can be generated from a single or multiple sources. Being able to detect and classify such PD events will help to determine the necessary corrective action to prevent insulation breakdown. To demonstrate, three different simulated discharge conditions in transformers were investigated: void, floating metal and their combination. The PD signals were captured using an ultra-high frequency (UHF) sensor and denoised using wavelet transform method by application of Matlab wavelet multi-variate denoising tool. Two types of mother wavelet, that is, db and sym, were applied to decompose the signals and extract the signal features in terms of their skewness, kurtosis and energy. These features were then used as input to train a neural network to analyse and determine the PD source type. Results show this technique is able to classify and recognise single and multiple PD source types with a high degree of success.

• Publisher: The Institution of Engineering and Technology,Institution of Engineering and Technology,The Institution of Engineering & Technology
• Subject: Applied sciences / Classification / Computer simulation / Discharge / electric breakdown / Electrical engineering. Electrical power engineering / Exact sciences and technology / feature extraction / floating metal / high‐voltage equipment / Insulation / insulation breakdown / insulation defect / kurtosis / Matlab / Matlab wavelet multivariate denoising tool / mother wavelet / multiple partial discharge source recognition / neural network / Neural networks / partial discharge measurement / PD detection / PD events / PD signals / PD source type determination / power transformer insulation / power transformers / signal decomposition / signal denoising / signal detection / signal feature extraction / simulated discharge conditions / single partial discharge source recognition / Testing. Reliability. Quality control / Transformers / Transformers and inductors / UHF detectors / UHF sensor / ultrahigh frequency sensor / ultrahigh frequency signals / void / voids (solid) / Wavelet / wavelet transform method / wavelet transforms