A Hybrid Signal Processing Technique for Recognition of Complex Power Quality Disturbances

被引:0
作者
Mahela, Om Prakash [1 ]
Parihar, Mayank [2 ]
Garg, Akhil Ranjan [2 ]
Khan, Baseem [3 ]
Kamel, Salah [4 ]
机构
[1] Power System Planning Division, Rajasthan Rajya Vidyut Prasaran Nigam Ltd., Jaipur, India
[2] Department of Electrical Engineering, MBM Engineering College, Jai Narain Vyas University, Jodhpur, India
[3] Department of Electrical and Computer Engineering, Hawassa University, Hawassa,1530, Ethiopia
[4] Department of Electrical Engineering, Faculty of Engineering, Aswan University, Aswan,81542, Egypt
关键词
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 50 条
[31]   A Comparative Study of Signal Processing and Pattern Recognition Approach for Power Quality Disturbance Classification [J].
Panigrahi, B. K. ;
Sinha, Sunil Kumar ;
Mohapatra, Ankita ;
Dash, Priyadarshini ;
Mallick, Manas Kumar .
IETE JOURNAL OF RESEARCH, 2011, 57 (01) :5-11
[32]   Study of power quality disturbances by figure pattern recognition [J].
Feng, Yu ;
Shi, Li-Ping ;
Miao, Chang-Xin .
Gaodianya Jishu/High Voltage Engineering, 2007, 33 (12) :148-152
[33]   Power Quality Disturbances Recognition Based on Grammatical Inference [J].
Fonseca, Tiago ;
Martins, Joao F. .
TECHNOLOGICAL INNOVATION FOR SUSTAINABILITY, 2011, 349 :474-+
[34]   Approximate-derivative-based signal-processing method to segment power-quality disturbances [J].
Akmaz, Duzgun .
IET GENERATION TRANSMISSION & DISTRIBUTION, 2020, 14 (21) :4835-4846
[35]   Classification of Power Quality Disturbances by Using Ensemble Technique [J].
Karasu, Seckin ;
Baskan, Saim .
2016 24TH SIGNAL PROCESSING AND COMMUNICATION APPLICATION CONFERENCE (SIU), 2016, :529-532
[36]   A novel hybrid architecture for classification of power quality disturbances [J].
Aggarwal, Arshiya ;
Das, Nisheet ;
Arora, Mansi ;
Tripathi, M. M. .
2019 6TH INTERNATIONAL CONFERENCE ON CONTROL, DECISION AND INFORMATION TECHNOLOGIES (CODIT 2019), 2019, :1829-1834
[37]   A Hybrid Approach for Detection and Classification of Power Quality Disturbances [J].
Chang, P. C. ;
Chang, G. W. ;
Shih, M. H. ;
Chen, Y. Y. ;
Hong, Y. H. ;
Yeh, Y. K. .
2017 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, 2017,
[38]   A novel amalgamation of pre-processing technique and CNN model for accurate classification of power quality disturbances [J].
Soni, Prity ;
Mishra, Pankaj ;
Mondal, Debasmita .
ELECTRICAL ENGINEERING, 2025, 107 (04) :5187-5206
[39]   Evolution of signal processing techniques in power quality [J].
Yebra Vega, Tomas ;
Fuster Roig, Vicente ;
San Segundo, Hector Beltran .
PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE ON ELECTRICAL POWER QUALITY AND UTILISATION, VOLS 1 AND 2, 2007, :884-+
[40]   A Novel Recognition Method for Complex Power Quality Disturbances Based on Visualization Trajectory Circle and Machine Vision [J].
Yuan, Ding ;
Liu, Yulong ;
Lan, Mingyang ;
Jin, Tao ;
Mohamed, Mohamed A. .
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2022, 71