A NEW SCHEME FOR AUTOMATIC CLASSIFICATION OF POWER QUALITY DISTURBANCES BASED ON SIGNAL PROCESSING AND MACHINE LEARNING

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HAJIAN M.; AKBARI FOROUD A.

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Journal: NASHRIYYAH -I MUHANDISI -I BARQ VA MUHANDISI -I KAMPYUTAR -I IRAN, A- MUHANDISI -I BARQ Year:2014 | Volume:12 | Issue:1 Page(s): 1-13

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Title

A NEW SCHEME FOR AUTOMATIC CLASSIFICATION OF POWER QUALITY DISTURBANCES BASED ON SIGNAL PROCESSING AND MACHINE LEARNING

Author(s)

HAJIAN M. | AKBARI FOROUD A. | Issue Writer Certificate

Keywords

POWER QUALITY MONITORINGQ2

PATTERN RECOGNITIONQ3

FEATURE SELECTIONQ1

TIME-FREQUENCY ANALYSISQ2

DISCRETE WAVELET TRANSFORMQ2

HYPERBOLIC S TRANSFORMQ2

Abstract

Identification and classification of power quality disturbances (PQDs) are one of the most important functions of monitoring and protection of modern power systems. One of the most important issues in PQ analysis is automatic diagnosis of waveforms using an effective algorithm. This paper presents an effective method, for extracting features, using integration of DISCRETE WAVELET TRANSFORM (DWT) and HYPERBOLIC S TRANSFORM (HST). Moreover, an efficient FEATURE SELECTION method namely Orthogonal Forward Selection (OFS) by incorporating Gram Schmidt (GS) procedure and forward selection is applied for selection of the best subset features. Multi support vector machines (MSVM), as famous classifier, is applied. Also, the variable parameters of the classifier are optimized using a powerful method namely particle swarm optimization (PSO). Six single disturbances and two complex disturbances as well pure sine (normal) selected as reference are considered for the classification. Sensitivity of the proposed expert system under different noisy conditions is investigated. Also, efficiency of the proposed methods by comparing the results of this study with the results of other papers is examined.

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APA: Copy

HAJIAN, M., & AKBARI FOROUD, A.. (2014). A NEW SCHEME FOR AUTOMATIC CLASSIFICATION OF POWER QUALITY DISTURBANCES BASED ON SIGNAL PROCESSING AND MACHINE LEARNING. NASHRIYYAH -I MUHANDISI -I BARQ VA MUHANDISI -I KAMPYUTAR -I IRAN, A- MUHANDISI -I BARQ, 12(1), 1-13. SID. https://sid.ir/paper/228183/en

Vancouver: Copy

HAJIAN M., AKBARI FOROUD A.. A NEW SCHEME FOR AUTOMATIC CLASSIFICATION OF POWER QUALITY DISTURBANCES BASED ON SIGNAL PROCESSING AND MACHINE LEARNING. NASHRIYYAH -I MUHANDISI -I BARQ VA MUHANDISI -I KAMPYUTAR -I IRAN, A- MUHANDISI -I BARQ[Internet]. 2014;12(1):1-13. Available from: https://sid.ir/paper/228183/en

IEEE: Copy

M. HAJIAN, and A. AKBARI FOROUD, “A NEW SCHEME FOR AUTOMATIC CLASSIFICATION OF POWER QUALITY DISTURBANCES BASED ON SIGNAL PROCESSING AND MACHINE LEARNING,” NASHRIYYAH -I MUHANDISI -I BARQ VA MUHANDISI -I KAMPYUTAR -I IRAN, A- MUHANDISI -I BARQ, vol. 12, no. 1, pp. 1–13, 2014, [Online]. Available: https://sid.ir/paper/228183/en

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