Power quality detection and classification using wavelet-multiresolution signal decomposition

Authors
Gaouda, AM Salama, MMA Sultan, MR Chikhani, AY
Citation
Am. Gaouda et al., Power quality detection and classification using wavelet-multiresolution signal decomposition, IEEE POW D, 14(4), 1999, pp. 1469-1476
Citations number
13
Categorie Soggetti
Eletrical & Eletronics Engineeing
Journal title
IEEE TRANSACTIONS ON POWER DELIVERY
ISSN journal
08858977 → ACNP
Volume
14
Issue
4
Year of publication
1999
Pages
1469 - 1476
Database
ISI
SICI code
0885-8977(199910)14:4<1469:PQDACU>2.0.ZU;2-C
Abstract
The wavelet transform is introduced as a powerful tool for monitoring power quality problems generated due to dynamic performance of industrial plants . The paper presents a multiresolution signal decomposition technique as an efficient method in analyzing transient events. The multiresolution signal decomposition has the ability to detect and localize transient events and furthermore classify deferent power quality disturbances. It can also be us ed to distinguish among similar disturbances.