Stockwell Transform and Hilbert Transform Based Hybrid Algorithm for Recognition of Power Quality Disturbances
Author:
Publisher
Springer Singapore
Link
http://link.springer.com/content/pdf/10.1007/978-981-15-8820-4_37
Reference20 articles.
1. Lima MAA, Cerqueira AS, Courya DV, Duqueb CA (2012) A novel method for power quality multiple disturbance decomposition based on Independent Component Analysis. International Journal of Electrical Power and Energy Systems, vol. 42, pp 593–604
2. Saurabh Kamble and Ishita Dupare, “Detection of power quality disturbances using Wavelet Transform and artificial neural network,” International Conference on Magnetics, Machines and Drives, 2014
3. Rahul Dubey, S. R.Samantaray, B. Chitti Babu and S. Nandha Kumar, “Detection of power quality disturbances in presence of DFIG wind farm using Wavelet Transform based energy function,” IEEE International Conference, 2011
4. Norman C.F.Tse, John Y.C.Chan, Wing-Hong Lau and Loi Lei Lai, “Hybrid Wavelet and Hilbert Transform with frequency-shifting decomposition for power quality analysis,” IEEE Transactions on Instrumentation and Measurement, vol. 61, no. 12, pp-3225–3233, Dec 2012
5. Mahela OP, Shaik AG, Gupta N (2015) A critical review of detection and classification of power quality events. Renew Sustain Energy Rev 41:495–505
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