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Recognition of Single-stage and Multiple Power Quality Events Using Hilbert–Huang Transform and Probabilistic Neural Network

2015; Taylor & Francis; Volume: 43; Issue: 6 Linguagem: Inglês

10.1080/15325008.2014.999147

1532-5016

Raj Kumar, Bhim Singh, D. T. Shahani,

Magnetic Properties and Applications

AbstractAbstractThis article presents the Hilbert–Huang transform based algorithm for recognizing the single-stage and multiple power quality events comprising voltage sag, swell, notches, spikes, harmonics, transients, and flicker. The change of the state during the course of the single-stage power quality event is called a multiple power quality event. Hilbert–Huang transform is an adaptive signal processing technique that combines empirical mode decomposition and Hilbert spectral analysis and makes it an attractive tool for analysis of power quality events. A synthetic database of power quality events is generated in MATLAB (The MathWorks, Natick, Massachusetts, USA) as per Standard IEEE-1995. The significant features are extracted from the instantaneous amplitude, phase, and frequency contours of intrinsic mode functions of each disturbance, and the events are classified using the probabilistic neural network technique.Keywords: power qualityeventHilbert–Huang transformempirical mode decompositionprobabilistic neural network Additional informationNotes on contributorsRaj KumarRaj Kumar received his Bachelor of Engineering (electronics and instrumentation) from Punjabi University, Patiala, India, in 1994 and his M.Tech. degree in instrumentation and control engineering from Punjab Technical University, Jalandhar, Punjab, India, in 2005. He is currently working toward his Ph.D. at the Indian Institute of Technology Delhi, New Delhi, India. He is currently an assistant professor with the Electrical & Instrumentation Engineering Department of Sant Longowal Institute of Engineering and Technology, Longowal, Punjab, India. His areas of research include power quality, digital signal processing, and process control systems.Bhim SinghBhim Singh received B.E. in electrical engineering from University of Roorkee, India, in 1977 and his M.Tech. and Ph.D. from IIT Delhi, India, in 1979 and 1983, respectively. In 1983, he joined the Electrical Engineering Department, University of Roorkee, as a lecturer and became a reader in 1988. In December 1990, he joined the Electrical Engineering Department, IIT Delhi, as an assistant professor. He became an associate professor in 1994 and a professor in 1997. He is a fellow of the Indian National Science Academy (FNA), the Indian National Academy of Engineering (FNAE), The National Academy of Science, India (FNASc), The Indian Academy of Sciences, India (FASc), The World Academy of Sciences (FTWAS), Institute of Electrical and Electronics Engineers (FIEEE), the Institute of Engineering and Technology (FIET), and the Institution of Engineers (India) (FIE). His fields of interest include power electronics, electrical machines, electric drives, power quality, and renewable energy.Dilip Tekchand ShahaniDilip Tekchand Shahani received his Bachelor of Technology (electronics) from Indian Institute of Technology, Kharagpur, India, in 1973 (silver medallist) and his Ph.D. from Indian Institute of Technology (IIT), New Delhi, India, in 1979. He has been associated with Indian Institute of Technology (IIT), New Delhi, since 1973, and currently, he is a professor in the Instrument Design and Development Centre. He has a number of research consultancies and numerous transfers of technologies to his credits. He was the recipient of the prestigious Excellence in Teaching (IIT Delhi, Golden Jubilee Year) award in 2011, the Outstanding Development & Technology award in electromagnetic systems, and the Outstanding Instructional Element award (teaching at IIT D) in 1991. His areas of specialization are electronics, instrumentation, electromagnetic transducers, and EMI/EMC.