An Improved Detection And Classification Technique Of Harmonic Signals In Power Distribution By Utilizing Spectrogram

Jopri, Mohd Hatta and Abdullah, Abdul Rahim and Manap, Mustafa and Yusoff, Mohd Rahimi and Habban, Mohd Faiz (2017) An Improved Detection And Classification Technique Of Harmonic Signals In Power Distribution By Utilizing Spectrogram. International Journal Of Electrical And Computer Engineering (Ijece), 7 (1). pp. 31-39. ISSN 2088-8708

[img] Text
2017 Journal An Improved Detection and Classification Technique of Harmonic Signals in Power Distribution by Utilizing Spectrogram.pdf - Submitted Version
Restricted to Registered users only

Download (1MB)


This paper introduces an improved detection and classification technique of harmonic signals in power distribution using time-frequency distribution (TFD) analysis which is spectrogram. The spectrogram is an appropriate approach to signify signals in jointly time-frequency domain and known as time frequency representation (TFR). The spectral information of signals can be observed and estimated plainly from TFR due to identify the characteristics of the signals. Based on rule-based classifier and the threshold settings that referred to IEEE Standard 1159 2009, the detection and classification of harmonic signals for 100 unique signals consist of various characteristic of harmonics are carried out successfully. The accuracy of proposed method is examined by using MAPE and the result show that the technique provides high accuracy. In addition, spectrogram also gives 100 percent correct classification of harmonic signals. It is proven that the proposed method is accurate, fast and cost efficient for detecting and classifying harmonic signals in distribution system.

Item Type: Article
Uncontrolled Keywords: harmonic, detection, classification, linear time-frequency, distributions, spectrogram
Subjects: T Technology > T Technology (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Engineering Technology
Depositing User: Nor Aini Md. Jali
Date Deposited: 27 Mar 2017 03:42
Last Modified: 19 Jul 2021 20:21
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item