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  • 1
    Online Resource
    Online Resource
    Performance Verification of Power Quality Signals Classification System
    Trans Tech Publications, Ltd. ; 2015
    In:  Applied Mechanics and Materials Vol. 752-753 ( 2015-4), p. 1158-1163
    Details
    In: Applied Mechanics and Materials, Trans Tech Publications, Ltd., Vol. 752-753 ( 2015-4), p. 1158-1163
    Abstract: Power quality has become a greater concern nowadays. The increasing number of power electronics equipment contributes to the poor quality of electrical power supply. The power quality signals will affect manufacturing process, malfunction of equipment and economic losses. This paper presents the verification analysis of power quality signals classification system. The developed system is based on linear time-frequency distribution (TFD) which is spectrogram that represents the signals jointly in time-frequency representation (TFR). The TFD is very appropriate to analyze power quality signals that have magnitude and frequency variations. Parameters of the signal such as root mean square (RMS) and fundamental RMS, total waveform distortion (TWD), total harmonic distortion (THD) and total non-harmonic distortion (TnHD) of voltage signal are estimated from the TFR to identify the characteristics of the signal. Then, the signal characteristics are used as input for signal classifier to classify power quality signals. In addition, standard power line measurements are also calculated from voltage and current such as RMS and fundamental RMS voltage and current, real power, apparent power, reactive power, frequency and power factor. The power quality signals focused are swell, sag, interruption, harmonic, interharmonic, and transient based on IEEE Std. 1159-2009. The power quality analysis has been tested using a set of data and the results show that, the spectrogram gives high accuracy measurement of signal characteristics. However, the system offers lower accuracy compare to simulation due to the limitation of the system.
    Type of Medium: Online Resource
    ISSN: 1662-7482
    URL: Issue
    URL: Article
    DOI: 10.4028/www.scientific.net/AMM.752-753
    DOI: 10.4028/www.scientific.net/AMM.752-753.1158
    Language: Unknown
    Publisher: Trans Tech Publications, Ltd.
    Publication Date: 2015
    detail.hit.zdb_id: 2251882-4
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  • 2
    Online Resource
    Online Resource
    An Improved Detection and Classification Technique of Harmonic Signals in Power Distribution by Utilizing Spectrogram
    Institute of Advanced Engineering and Science ; 2017
    In:  International Journal of Electrical and Computer Engineering (IJECE) Vol. 7, No. 1 ( 2017-02-01), p. 12-
    Details
    In: International Journal of Electrical and Computer Engineering (IJECE), Institute of Advanced Engineering and Science, Vol. 7, No. 1 ( 2017-02-01), p. 12-
    Abstract: 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.
    Type of Medium: Online Resource
    ISSN: 2088-8708 , 2088-8708
    URL: Issue
    URL: Article
    DOI: 10.11591/ijece.v7i1
    DOI: 10.11591/ijece.v7i1.pp12-20
    Language: Unknown
    Publisher: Institute of Advanced Engineering and Science
    Publication Date: 2017
    detail.hit.zdb_id: 2667127-X
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  • 3
    Online Resource
    Online Resource
    A Review of Electromyography Signal Analysis Techniques for Musculoskeletal Disorders
    Institute of Advanced Engineering and Science ; 2018
    In:  Indonesian Journal of Electrical Engineering and Computer Science Vol. 11, No. 3 ( 2018-07-17), p. 1136-
    Details
    In: Indonesian Journal of Electrical Engineering and Computer Science, Institute of Advanced Engineering and Science, Vol. 11, No. 3 ( 2018-07-17), p. 1136-
    Abstract: Social Security Organisation 〈 strong 〉 〈 /strong 〉 (SOCSO) Malaysia has reported that the incidence of work related to musculoskeletal disorders (MSDs) has been growing planetary in the manufacturing industry. MSDs are the result of repetitive, forceful or awkward movements on our body and or body parts of bones, joints, ligaments and other soft tissues. Workplace pains and strains can be serious and disabling for workers, causing pain and suffering ranging from discomfort to severe disability. To overcome this problem, Electromyography is proper to use in Health Screening Program (HSP) it to monitor darn diagnose the muscle’s performance for their patient and know the exact localization of muscle pain. The previous researchers has been explore of several in EMG analysis techniques and features proposed in time, frequency and time-frequency domain analysis. This review of common EMG signal processing techniques is proposed by assembling from simple to complex analysis techniques to give the overview information for the other researcher. This is because; the suitable selection of a method and its features settings will ensure readability of the time-frequency representations and reliability of results. The strongest correspond with time-frequency characteristic and resolution also reducing cross term for bilinear will consider it as the optimal method.
    Type of Medium: Online Resource
    ISSN: 2502-4760 , 2502-4752
    URL: Issue
    URL: Article
    DOI: 10.11591/ijeecs.v11.i3
    DOI: 10.11591/ijeecs.v11.i3.pp1136-1146
    Language: Unknown
    Publisher: Institute of Advanced Engineering and Science
    Publication Date: 2018
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  • 4
    Online Resource
    Online Resource
    An Analysis of Harmonic and Interharmonic Contribution of Electric Arc Furnace by Using Periodogram
    Institute of Advanced Engineering and Science ; 2017
    In:  International Journal of Electrical and Computer Engineering (IJECE) Vol. 7, No. 6 ( 2017-10-01), p. 3753-
    Details
    In: International Journal of Electrical and Computer Engineering (IJECE), Institute of Advanced Engineering and Science, Vol. 7, No. 6 ( 2017-10-01), p. 3753-
    Abstract: Fast and accurate detection of the harmonic and interharmonic contribution of electric arc furnace (EAF) is crucial in identifying and to mitigate the undesired effects to the system.  In this paper, periodogram, a fast and accurate technique is introduced for the analysis of the contribution. Based on a rule-based classifier and the threshold settings that referred to the IEEE Standard 1159 2009, the analysis of the harmonic and interharmonic contribution of EAF are carried out successfully. Moreover, the impact of contribution is measured using total harmonic distortion (THD) and total non-harmonic distortion (TnHD). In addition, periodogram also gives 100 percent correct detection and able to analyze the contribution impact. It is proven that the proposed method is accurate, fast and cost efficient for analyzing the impact of harmonic and interharmonic of EAF.
    Type of Medium: Online Resource
    ISSN: 2088-8708 , 2088-8708
    URL: Issue
    URL: Article
    DOI: 10.11591/ijece.v7i6
    DOI: 10.11591/ijece.v7i6.pp3753-3760
    Language: Unknown
    Publisher: Institute of Advanced Engineering and Science
    Publication Date: 2017
    detail.hit.zdb_id: 2667127-X
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  • 5
    Online Resource
    Online Resource
    An Evaluation of Linear Time Frequency Distribution Analysis for VSI Switch Faults Identification
    Institute of Advanced Engineering and Science ; 2017
    In:  International Journal of Power Electronics and Drive Systems (IJPEDS) Vol. 8, No. 1 ( 2017-03-01), p. 1-
    Details
    In: International Journal of Power Electronics and Drive Systems (IJPEDS), Institute of Advanced Engineering and Science, Vol. 8, No. 1 ( 2017-03-01), p. 1-
    Abstract: This paper present an evaluation of linear time frequency distribution analysis for voltage source inverter system (VSI). Power electronic now are highly demand in industrial such as manufacturing, industrial process and semiconductor because of the reliability and sustainability. However, the phenomenon that happened in switch fault has become a critical issue in the development of advanced. This causes problems that occur study on fault switch at voltage source inverter (VSI) must be identified more closely so that problems like this can be prevented. The TFD which is STFT  and S-transform method are analyzed the switch fault of VSI.  To identify the VSI switches fault, the parameter of fault signal such as instantaneous of average current, RMS current, RMS fundamental current, total waveform distortion, total harmonic distortion and total non-harmonic distortion can be estimated from TFD. The analysis information are useful especially for industrial application in the process for identify the switch fault detection. Then the accuracy of both method, which mean STFT and S-transform are identified by the lowest value of mean absolute percentage error (MAPE). In addition, the S-transform gives a better accuracy compare with STFT and it can be implement for fault detection system.
    Type of Medium: Online Resource
    ISSN: 2722-256X , 2088-8694
    URL: Issue
    URL: Article
    DOI: 10.11591/ijpeds.v8.i1
    DOI: 10.11591/ijpeds.v8.i1.pp1-9
    Language: Unknown
    Publisher: Institute of Advanced Engineering and Science
    Publication Date: 2017
    detail.hit.zdb_id: 2667284-4
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  • 6
    Online Resource
    Online Resource
    Performance Evaluation of Real Power Quality Disturbances Analysis Using S-Transform
    Trans Tech Publications, Ltd. ; 2015
    In:  Applied Mechanics and Materials Vol. 752-753 ( 2015-4), p. 1343-1348
    Details
    In: Applied Mechanics and Materials, Trans Tech Publications, Ltd., Vol. 752-753 ( 2015-4), p. 1343-1348
    Abstract: Power quality is main issue because of the impact to electricity suppliers, equipments, manufacturers and user.To solve the power quality problem, an analysis of power quality disturbances is required to identify and rectify any failures on power system. Most of researchers apply fourier transform in power quality analysis, however the ability of fourier transform is limited to spectral information extraction that can be applied on stationary disturbances. Thus, time-frequency analysis is introduced for analyzing the power quality distubances because of the limitation of fourier transform. This paper presents the analysis of real power quality disturbances using S-transform. This time-frequency distribution (TFD) is presented to analyze power quality disturbances in time-frequency representation (TFR). From the TFR, parameters of the disturbances such as instantaneous of root mean square (RMS), fundamental RMS, total harmonic distortion (THD), total nonharmonic distortion (TnHD) and total waveform distortion (TWD) of the disturbances are estimated. The experimental of three phase voltage inverter and starting motor are conducted in laboratory to record the real power quality disturbances. The disturbances are recorded via data logger system which is mplemented using LabVIEW while the analysis is done using Matlab in offline condition. The results show that S-transform gives good performance in identifying, detecting and analyzing the real power quality disturbances, effectively.
    Type of Medium: Online Resource
    ISSN: 1662-7482
    URL: Issue
    URL: Article
    DOI: 10.4028/www.scientific.net/AMM.752-753
    DOI: 10.4028/www.scientific.net/AMM.752-753.1343
    Language: Unknown
    Publisher: Trans Tech Publications, Ltd.
    Publication Date: 2015
    detail.hit.zdb_id: 2251882-4
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  • 7
    Online Resource
    Online Resource
    Harmonic Load Diagnostic Techniques and Methodologies: A Review
    Institute of Advanced Engineering and Science ; 2018
    In:  Indonesian Journal of Electrical Engineering and Computer Science Vol. 9, No. 3 ( 2018-03-01), p. 690-
    Details
    In: Indonesian Journal of Electrical Engineering and Computer Science, Institute of Advanced Engineering and Science, Vol. 9, No. 3 ( 2018-03-01), p. 690-
    Abstract: 〈 p 〉 This paper will review on the existing techniques and methodologies of harmonic load diagnostic system. The increasingly amount of harmonic producing load used in power system are the main contribution in quantifying each harmonic disturbance effects of the multiple harmonic producing loads and it became very important. Literature proposes two different techniques and methods on the harmonic source identification under the soft computing technique classification. The advantages and disadvantages of harmonic load identification techniques and methods are discussed in this paper. In the proposed method, the issue on the harmonic contribution is determine and transformed to a data correlation analysis. Several techniques to identify the sources of harmonic signals in electric power systems are described and reviewed based on previous paper. Comparative studies of the methods are also done to evaluate the performance of each techniques. However, without sufficient information in this inconsistent environment on the property of the power system, accurate harmonic producing load diagnosis methods are important and further investigations in this regard assumes great implication. 〈 /p 〉
    Type of Medium: Online Resource
    ISSN: 2502-4760 , 2502-4752
    URL: Issue
    URL: Article
    DOI: 10.11591/ijeecs.v9.i3
    DOI: 10.11591/ijeecs.v9.i3.pp690-695
    Language: Unknown
    Publisher: Institute of Advanced Engineering and Science
    Publication Date: 2018
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  • 8
    Online Resource
    Online Resource
    Power Quality Signals Classification System Using Time-Frequency Distribution
    Trans Tech Publications, Ltd. ; 2014
    In:  Applied Mechanics and Materials Vol. 494-495 ( 2014-02-06), p. 1889-1894
    Details
    In: Applied Mechanics and Materials, Trans Tech Publications, Ltd., Vol. 494-495 ( 2014-02-06), p. 1889-1894
    Abstract: Power quality signals are an important issue to electricity consumers. The signals will affect manufacturing process, malfunction of equipment and economic losses. Thus, an automated monitoring system is required to identify and classify the signals for diagnosis purposes. This paper presents the development of power quality signals classification system using time-frequency analysis technique which is spectrogram. From the time-frequency representation (TFR), parameters of the signal are estimated to identify the characteristics of the signals. The signal parameters are instantaneous of RMS voltage, RMS fundamental voltage, total waveform distortion, total harmonic distortion and total non harmonic distortion. In this paper, major power quality signals are focused based on IEEE Std. 1159-2009 such as swell, sag, interruption, harmonic, interharmonic, and transient. An automated signal classification system using spectrogram is developed to identify, classify as well as provide the information of the signal.
    Type of Medium: Online Resource
    ISSN: 1662-7482
    URL: Issue
    URL: Article
    DOI: 10.4028/www.scientific.net/AMM.494-495
    DOI: 10.4028/www.scientific.net/AMM.494-495.1889
    Language: Unknown
    Publisher: Trans Tech Publications, Ltd.
    Publication Date: 2014
    detail.hit.zdb_id: 2251882-4
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  • 9
    Online Resource
    Online Resource
    A Utilisation of Improved Gabor Transform for Harmonic Signals Detection and Classification Analysis
    Institute of Advanced Engineering and Science ; 2017
    In:  International Journal of Electrical and Computer Engineering (IJECE) Vol. 7, No. 1 ( 2017-02-01), p. 21-
    Details
    In: International Journal of Electrical and Computer Engineering (IJECE), Institute of Advanced Engineering and Science, Vol. 7, No. 1 ( 2017-02-01), p. 21-
    Abstract: 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.
    Type of Medium: Online Resource
    ISSN: 2088-8708 , 2088-8708
    URL: Issue
    URL: Article
    DOI: 10.11591/ijece.v7i1
    DOI: 10.11591/ijece.v7i1.pp21-28
    Language: Unknown
    Publisher: Institute of Advanced Engineering and Science
    Publication Date: 2017
    detail.hit.zdb_id: 2667127-X
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  • 10
    Online Resource
    Online Resource
    Performance Comparison of VSI Switches Faults Analysis Using STFT and S Transform
    Trans Tech Publications, Ltd. ; 2015
    In:  Applied Mechanics and Materials Vol. 785 ( 2015-8), p. 210-214
    Details
    In: Applied Mechanics and Materials, Trans Tech Publications, Ltd., Vol. 785 ( 2015-8), p. 210-214
    Abstract: Switches fault in power converter has become compelling issues over the years. To reduce cost and maintenance downtime, a good fault detection technique is an essential. In this paper, the performance of STFT and S transform techniques are analysed and compared for voltage source inverter (VSI) switches faults. The signal from phase current is represented in jointly time-frequency representation (TFR) to estimate signal parameters and characteristics. Then, the degree of accuracy for both STFT and S transform are determined by the lowest value of mean absolute percentage error (MAPE). The results demonstrate that S transform gives better accuracy compare to STFT and is suitable for VSI switches faults detection and identification system.
    Type of Medium: Online Resource
    ISSN: 1662-7482
    URL: Issue
    URL: Article
    DOI: 10.4028/www.scientific.net/AMM.785
    DOI: 10.4028/www.scientific.net/AMM.785.210
    Language: Unknown
    Publisher: Trans Tech Publications, Ltd.
    Publication Date: 2015
    detail.hit.zdb_id: 2251882-4
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