Real-time power quality signals monitoring system

abidullah, Noor Athira; Abdullah, Abdul Rahim; Shamsudin, Nur Hazahsha; Ahmad, Naseer; Jopri, Mohd Hatta

doi:10.1109/scored.2013.7002626

Cited by 26 publications

(21 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The determination of signal characteristics is from the calculated signal parameters. Furthermore, by using the instantaneous RMS voltage, the signal properties for example the average of RMS voltage can be calculated using equation 9 [11]. The information of the signal characteristics is used as input for classifier to allocate the harmonic and inter-harmonic signals.…”

Section: Signal Characteristicmentioning

confidence: 99%

An Improved Detection and Classification Technique of Harmonic Signals in Power Distribution by Utilizing Spectrogram

Jopri¹,

Abdullah²,

Manap³

et al. 2017

IJECE

View full text Add to dashboard Cite

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.

show abstract

Section: Signal Characteristicmentioning

confidence: 99%

An Improved Detection and Classification Technique of Harmonic Signals in Power Distribution by Utilizing Spectrogram

Jopri¹,

Abdullah²,

Manap³

et al. 2017

IJECE

View full text Add to dashboard Cite

show abstract

“…Additionally, by using the equation 9 and instantaneous RMS voltage, the signal properties, for example the average of RMS voltage can be calculated. The data of the signal characteristics are used as input for the classifier to identify the harmonic and inter-harmonics signal [11].…”

Section: Signal Characteristicmentioning

confidence: 99%

“…Therefore, a superior recognition approach such as RBC is required to overcome the constraint of RBC. RBC is a straightforward deterministic rule and excellent in classifying the harmonic disturbances [9,11]. This paper proposes an enhanced S-transform with rule-based classifier implementation in classifying the harmonic and inter-harmonic signals accordingly IEEE Std 1159:2009 in power distribution system.…”

mentioning

confidence: 99%

An Accurate Classification Method of Harmonic Signals in Power Distribution System by Utilising S-Transform

et al. 2017

View full text Add to dashboard Cite

show abstract

“…The identification of signal characteristics is obtained from the calculated spectral parameters. Moreover, by utilizing the instantaneous RMS voltage, the signal properties for instance the average of RMS voltage can be computed utilizing Equation 9 [9]. The data of the signal characteristics are used as input for classifier to identify the harmonic and inter-harmonics signal.…”

Section: Signal Characteristicmentioning

confidence: 99%

A Utilisation of Improved Gabor Transform for Harmonic Signals Detection and Classification Analysis

Jopri¹,

Abdullah²,

Sutikno³

et al. 2017

IJECE

View full text Add to dashboard Cite

This paper presents a utilization of improved Gabor transform for harmonic signals detection and classification analysis in power distribution system. The Gabor transform is one of time frequency distribution technique with a capability of representing signals in jointly time-frequency domain and known as time frequency representation (TFR). The estimation of spectral information can be obtained from TFR in order to identify the characteristics of the signals. The detection and classification of harmonic signals for 100 unique signals with numerous characteristic of harmonics with support of rule-based classifier and threshold setting that been referred to IEEE standard 1159 2009. The accuracy of proposed method is determined by using MAPE and the outcome demonstrate that the method gives high accuracy of harmonic signals classification. Additionally, Gabor transform also gives 100 percent correct classification of harmonic signals. It is verified that the proposed method is accurate and cost efficient in detecting and classifying harmonic signals in distribution system.

show abstract

Real-time power quality signals monitoring system

Cited by 26 publications

References 6 publications

An Improved Detection and Classification Technique of Harmonic Signals in Power Distribution by Utilizing Spectrogram

An Improved Detection and Classification Technique of Harmonic Signals in Power Distribution by Utilizing Spectrogram

An Accurate Classification Method of Harmonic Signals in Power Distribution System by Utilising S-Transform

A Utilisation of Improved Gabor Transform for Harmonic Signals Detection and Classification Analysis

Contact Info

Product

Resources

About