Classification of Power Quality Disturbances Using Wavelet Transform and K-Nearest Neighbor Classifier

被引：0
|
作者：
Ngo Minh Khoa [1 ]
Dinh Thanh Viet [1 ]
Nguyen Huu Hieu [1 ]
机构：
[1] Quy Nhon Univ, Dept Tech & Technol, Quy Nhon, Vietnam
来源：
2013 IEEE INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS (ISIE) | 2013年
关键词：
Power quality; Wavelet transform; K-Nearest neighbor; Disturbance; Classification;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This paper proposes a new method to classify power quality disturbances using wavelet transform and K-nearest neighbor classifier. New features of power quality disturbances are extracted from discrete wavelet transform then using K-nearest neighbor classifier to classify these disturbances according to the features. Block diagram of the proposed method has been shown in this paper. Performance of the proposed method is trained and verified with power quality disturbances generated by Matlab software. The classification accuracy for these disturbances has been presented and shows that the proposed method is doing well in classifying these types of power quality disturbances.
引用
收藏
页数：4
相关论文
共 50 条
  • [31] Optimal feature selection for classification of power quality disturbances using wavelet packet-based fuzzy k-nearest neighbour algorithm
    Panigrahi, B. K.
    Pandi, V. R.
    IET GENERATION TRANSMISSION & DISTRIBUTION, 2009, 3 (03) : 296 - 306
  • [32] Wavelet transform and SGLDM: A classification performance study using ML parameter estimation, minimum distance, and K-nearest neighbor classifiers
    Singh, R
    Vasquez, R
    Singh, R
    VISUAL INFORMATION PROCESSING VI, 1997, 3074 : 142 - 150
  • [33] An Enhancement of Fuzzy K-Nearest Neighbor Classifier Using Multi-Local Power Means
    Kumbure, Mahinda Mailagaha
    Luukka, Pasi
    Collan, Mikael
    PROCEEDINGS OF THE 11TH CONFERENCE OF THE EUROPEAN SOCIETY FOR FUZZY LOGIC AND TECHNOLOGY (EUSFLAT 2019), 2019, 1 : 83 - 90
  • [34] Fault Diagnosis of a Brushless DC Motor Using K-Nearest Neighbor Classification Technique with Discrete Wavelet Transform Feature Extraction
    Borja, Clarisse Anne
    Tisado, Kyle Joshua
    Ostia, Conrado
    2022 14TH INTERNATIONAL CONFERENCE ON COMPUTER AND AUTOMATION ENGINEERING (ICCAE 2022), 2022, : 122 - 126
  • [35] Recursive Clustering K-Nearest Neighbors Algorithm and the Application in the Classification of Power Quality Disturbances
    Pan, Dongyin
    Zhao, Zhongyi
    Zhang, Liao
    Tang, Changzhong
    2017 IEEE CONFERENCE ON ENERGY INTERNET AND ENERGY SYSTEM INTEGRATION (EI2), 2017,
  • [36] Microarray Data Classification using Fuzzy K-Nearest Neighbor
    Kumar, Mukesh
    Rath, Santanu Ku
    2014 INTERNATIONAL CONFERENCE ON CONTEMPORARY COMPUTING AND INFORMATICS (IC3I), 2014, : 1032 - 1038
  • [37] Breast Cancer Classification using Cluster k-Nearest Neighbor
    Samir, Brahim Belhaouari
    Al-Absi, Hamada R. H.
    Kassoul, Khelil
    INTERNATIONAL CONFERENCE ON FUNDAMENTAL AND APPLIED SCIENCES 2012 (ICFAS2012), 2012, 1482 : 382 - 385
  • [38] Joint Evidential K-Nearest Neighbor Classification
    Gong, Chaoyu
    Li, Yongbin
    Liu, Yong
    Wang, Pei-hong
    You, Yang
    2022 IEEE 38TH INTERNATIONAL CONFERENCE ON DATA ENGINEERING (ICDE 2022), 2022, : 2113 - 2126
  • [39] CLASSIFICATION BIAS OF THE K-NEAREST NEIGHBOR ALGORITHM
    GOIN, JE
    IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 1984, 6 (03) : 379 - 381
  • [40] Multiview Adaptive K-Nearest Neighbor Classification
    School of Science, East China Jiaotong University, Nanchang
    330013, China
    不详
    330013, China
    不详
    IEEE. Trans. Artif. Intell., 2024, 3 (1221-1234): : 1221 - 1234
12345