Wavelet-based signal processing for disturbance classification and measurement

被引:60
作者
Gaouda, AM [1 ]
Kanoun, SH
Salama, MMA
Chikhani, AY
机构
[1] Univ Waterloo, Waterloo, ON N2L 3G1, Canada
[2] Royal Mil Coll Canada, Kingston, ON, Canada
关键词
D O I
10.1049/ip-gtd:20020119
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
A systematic method for analysing power system disturbances in the wavelet domain is described. Wavelet domain capabilities in detection, classification and measurement,,, of various power system disturbances are presented. The distortion event is mapped into the wavelet domain and extracted from the measured signal. The duration of the distortion is measured in a noisy environment and its energy and RMS value evaluated. The proposed algorithm is applied to various power system disturbances.
引用
收藏
页码:310 / 318
页数:9
相关论文
共 50 条
[31]   On uncertainty in wavelet-based signal analysis [J].
Peretto, L ;
Sasdelli, R ;
Tinarelli, R .
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2005, 54 (04) :1593-1599
[32]   Wavelet-Based Algorithm for Signal Analysis [J].
Norman C.F. Tse ;
L.L. Lai .
EURASIP Journal on Advances in Signal Processing, 2007
[33]   Power Quality Disturbance Detection using Wavelet based Signal Processing [J].
Upadhyaya, Swarnabala ;
Mohanty, Sanjeeb .
2013 ANNUAL IEEE INDIA CONFERENCE (INDICON), 2013,
[34]   Electric power transient disturbance classification using wavelet-based hidden Markov models [J].
Chung, J ;
Powers, EJ ;
Grady, WM ;
Bhatt, SC .
2000 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, PROCEEDINGS, VOLS I-VI, 2000, :3662-3665
[35]   An effective wavelet-based feature extraction method for classification of power quality disturbance signals [J].
Uyar, Murat ;
Yildirim, Selcuk ;
Gencoglu, Muhsin Tunay .
ELECTRIC POWER SYSTEMS RESEARCH, 2008, 78 (10) :1747-1755
[36]   A fusion wavelet-based binary pattern approach for enhanced electroencephalogram signal classification [J].
Ananthi, A. ;
Subathra, M. S. P. ;
George, S. Thomas ;
Peter, Geno ;
Stonier, Albert Alexander ;
Sairamya, N. J. .
COMPUTERS & ELECTRICAL ENGINEERING, 2025, 123
[37]   EEG signal processing in anesthesia-using wavelet-based informational tools [J].
Ye, Zhiqian ;
Tian, Fuying ;
Weng, Jianfeng .
2005 27TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-7, 2005, :4127-4129
[38]   Wavelet-based pavement distress classification [J].
Zhou, Jian ;
Huang, Peisen ;
Chiang, Fu-Pen .
PAVEMENT MANAGEMENT; MONITORING, EVALUATION, AND DATA STORAGE; AND ACCELERATED TESTING 2005, 2005, (1940) :89-98
[39]   A Wavelet-based Filtering Algorithm for Enhancing Signal Processing in Coriolis Flow Meters [J].
Khoo, David Wee Yang ;
Ng, Zhi Qun ;
Seah, Leong Keey .
22ND INTERNATIONAL METROLOGY CONGRESS, CIM2025, 2025, 323
[40]   Wavelet-Based Signal Processing Method for Detecting Ice Accretion on Wind Turbines [J].
Saleh, S. A. ;
Ahshan, R. ;
Moloney, C. R. .
IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2012, 3 (03) :585-597