The Open Automation and Control Systems Journal

2015, 7 : 698-703
Published online 2015 July 31. DOI: 10.2174/1874444301507010698
Publisher ID: TOAUTOCJ-7-698

Research of Dielectric Loss Measurement with Sparse Representation

Zheng Jianfeng and Zhang Ji
School of Information Science and Engineering, Changzhou University, Jiangsu, 213164, P.R. China.

ABSTRACT

Harmonics analysis based on wavelet transformation is used in the measurement of dielectric loss angle of power system in order to get the fundamental wave from the observed voltage and current. However, due to low signal-tonoise ratio (SNR) and frequency fluctuation, its accuracy drops greatly in many applications. After analysis of its disadvantages, a novel method using sparse representation is proposed here. Simulation results show that it has better accuracy than the wavelet transformation,

Keywords:

Wavelet transform, Dielectric loss measurement, Sparse representation, Transformation, Signal-to-Noise.