{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T13:41:56Z","timestamp":1777902116943,"version":"3.51.4"},"reference-count":20,"publisher":"SAGE Publications","issue":"12","license":[{"start":{"date-parts":[[2006,12,1]],"date-time":"2006-12-01T00:00:00Z","timestamp":1164931200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["SIMULATION"],"published-print":{"date-parts":[[2006,12]]},"abstract":"<jats:p>The identification and classification of voltage and current disturbances are important tasks in the monitoring and protection of power systems. Most power quality disturbances are non-stationary and transitory and both detection and classification have proved to be very demanding. New intelligent system technologies that use wavelet transforms, expert systems and artificial neural networks include some unique advantages regarding fault analysis. This paper presents a new approach to classifying six classes of signals: five types of disturbance including sag, swell, transient, fluctuation, interruption, and the normal waveform. The concept of discrete wavelet transform for feature extraction from the power disturbance signal, combined with an artificial neural network and incorporating fuzzy logic to offer a powerful tool for detecting and classifying power quality problems, is introduced. The system was modeled using VHDL, a hardware description language, followed by extensive testing and simulation to verify the functionality of the system that allows efficient hardware implementation of the same. The extensive simulation results confirm the feasibility of the proposed algorithm. This method proposed herein classified and obtained 98.19% classification accuracy from the application of this system to software-generated signals and utility sampled disturbance events.<\/jats:p>","DOI":"10.1177\/0037549707077782","type":"journal-article","created":{"date-parts":[[2007,6,11]],"date-time":"2007-06-11T08:43:36Z","timestamp":1181551416000},"page":"867-881","source":"Crossref","is-referenced-by-count":10,"title":["VHDL Modeling for Classification of Power Quality Disturbance Employing                 Wavelet Transform, Artificial Neural Network and Fuzzy Logic"],"prefix":"10.1177","volume":"82","author":[{"given":"M.B.I.","family":"Reaz","sequence":"first","affiliation":[{"name":"Department of Electrical and Computer Engineering International Islamic                         University Malaysia Jalan Gombak, 53100 Kuala Lumpur Malaysia,"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"F.","family":"Choong","sequence":"additional","affiliation":[{"name":"Faculty of Engineering Multimedia University 63100 Cyberjaya, Selangor Malaysia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"F.","family":"Mohd-Yasin","sequence":"additional","affiliation":[{"name":"Faculty of Engineering Multimedia University 63100 Cyberjaya, Selangor Malaysia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2006,12,1]]},"reference":[{"issue":"6","key":"atypb1","first-page":"1480","volume":"33","author":"Dorr, D.S.","year":"1997","journal-title":"IEEE Transactions on IA"},{"issue":"6","key":"atypb2","first-page":"65","volume":"19","author":"Collinson A.","year":"1999","journal-title":"IEEE Power Engineering Review"},{"issue":"4","key":"atypb3","first-page":"185","volume":"5","author":"Kezunovic, M.","year":"1997","journal-title":"Engineering Intelligent Systems"},{"key":"atypb4","doi-asserted-by":"publisher","DOI":"10.1109\/61.997905"},{"key":"atypb5","doi-asserted-by":"publisher","DOI":"10.1109\/67.539846"},{"key":"atypb6","doi-asserted-by":"publisher","DOI":"10.1109\/61.974212"},{"key":"atypb7","doi-asserted-by":"publisher","DOI":"10.1109\/61.891505"},{"key":"atypb8","doi-asserted-by":"publisher","DOI":"10.1109\/61.847256"},{"key":"atypb9","doi-asserted-by":"publisher","DOI":"10.1109\/61.997947"},{"key":"atypb10","volume-title":"Pattern Recognition Using ANNs: Theory and Algorithms for Engineers and Scientists","author":"Looney, C.","year":"1997","edition":"3"},{"key":"atypb11","volume-title":"Electric Power Systems Quality","author":"Dugan, R.C.","year":"1996","edition":"2"},{"key":"atypb12","doi-asserted-by":"publisher","DOI":"10.1109\/ICHQP.2000.896837"},{"key":"atypb13","doi-asserted-by":"publisher","DOI":"10.1109\/61.489367"},{"key":"atypb14","volume-title":"Detection and Classification of Power Quality Disturbances using the Wavelet Transform","author":"Penna, C.","year":"2000"},{"key":"atypb15","unstructured":"Linear Feedback Shift Registers                  (2002). World Wide World Wide Web URL at                 http:\/\/www.math.cudenver.edu\/\u223cwcherowi\/courses\/m5410\/m5410fsr.html                 , 1\u20148."},{"key":"atypb16","volume-title":"Fuzzy Systems for Information Processing","author":"Asai K.","year":"1995"},{"key":"atypb17","doi-asserted-by":"publisher","DOI":"10.1109\/61.852971"},{"key":"atypb18","volume-title":"Proceedings of the International Conference on Power System Technology","author":"Kezunovic, M."},{"key":"atypb19","volume-title":"Hardware realization of a neural network","author":"Hasting, J.R.","year":"2004"},{"key":"atypb20","volume-title":"Proceedings of the IEEE International Conference on Consumer Electronics","author":"Mohd-Yasin, F."}],"container-title":["SIMULATION"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/0037549707077782","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/0037549707077782","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T11:20:08Z","timestamp":1777634408000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.1177\/0037549707077782"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2006,12]]},"references-count":20,"journal-issue":{"issue":"12","published-print":{"date-parts":[[2006,12]]}},"alternative-id":["10.1177\/0037549707077782"],"URL":"https:\/\/doi.org\/10.1177\/0037549707077782","relation":{},"ISSN":["0037-5497","1741-3133"],"issn-type":[{"value":"0037-5497","type":"print"},{"value":"1741-3133","type":"electronic"}],"subject":[],"published":{"date-parts":[[2006,12]]}}}