Gotowa bibliografia na temat „Power quality disturbances”
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Artykuły w czasopismach na temat "Power quality disturbances"
Liu, Bin, i Xi Wang. "Quality Disturbance Recognition Based on the Generalized-S Transform". Applied Mechanics and Materials 246-247 (grudzień 2012): 251–56. http://dx.doi.org/10.4028/www.scientific.net/amm.246-247.251.
Pełny tekst źródłaPeng, Fei Jin, Xiao Yun Huang, Hong Yuan Huang i Zhi Wen Xie. "A Novel Power Quality Disturbances Detection and Classification Method". Applied Mechanics and Materials 737 (marzec 2015): 193–98. http://dx.doi.org/10.4028/www.scientific.net/amm.737.193.
Pełny tekst źródłaSaini, Manish Kumar, i Rajiv Kapoor. "Power Quality Events Classification Using MWT and MLP". Advanced Materials Research 403-408 (listopad 2011): 4266–71. http://dx.doi.org/10.4028/www.scientific.net/amr.403-408.4266.
Pełny tekst źródłaMozaffari, Mahsa, Keval Doshi i Yasin Yilmaz. "Real-Time Detection and Classification of Power Quality Disturbances". Sensors 22, nr 20 (19.10.2022): 7958. http://dx.doi.org/10.3390/s22207958.
Pełny tekst źródłaGonzalez-Abreu, A. D., M. Delgado-Prieto, J. J. Saucedo-Dorantes i R. A. Osornio-Rios. "Novelty Detection on Power Quality Disturbances Monitoring". Renewable Energy and Power Quality Journal 19 (wrzesień 2021): 211–16. http://dx.doi.org/10.24084/repqj19.259.
Pełny tekst źródłaPodestà, L., G. Sforza, A. Churikov, A. Divin i A. Filatova. "Wireless Sensors-Based Network to Measure Different Power Quality Disturbances". Advanced Materials & Technologies, nr 2 (2017): 026–37. http://dx.doi.org/10.17277/amt.2017.02.pp.026-037.
Pełny tekst źródłaGu, Jin Hong, Qi Liu i Chao Hui Cheng. "Simulation of Power Quality Using S-Transform". Advanced Materials Research 429 (styczeń 2012): 172–78. http://dx.doi.org/10.4028/www.scientific.net/amr.429.172.
Pełny tekst źródłaSuja, S., i Jovitha Jerome. "POWER SIGNAL DISTURBANCE CLASSIFICATION USING WAVELET BASED NEURAL NETWORK". ASEAN Journal on Science and Technology for Development 25, nr 2 (22.11.2017): 205–17. http://dx.doi.org/10.29037/ajstd.243.
Pełny tekst źródłaParsons, A. C., W. M. Grady, E. J. Powers i J. C. Soward. "A direction finder for power quality disturbances based upon disturbance power and energy". IEEE Transactions on Power Delivery 15, nr 3 (lipiec 2000): 1081–86. http://dx.doi.org/10.1109/61.871378.
Pełny tekst źródłaSuja, S., i Jovitha Jerome. "Power signal disturbance classification using wavelet based neural network". Serbian Journal of Electrical Engineering 4, nr 1 (2007): 71–83. http://dx.doi.org/10.2298/sjee0701071s.
Pełny tekst źródłaRozprawy doktorskie na temat "Power quality disturbances"
Parsons, Antony Cozart. "Automatic location of transient power quality disturbances /". Digital version accessible at:, 1999. http://wwwlib.umi.com/cr/utexas/main.
Pełny tekst źródłaDwijaya, Saputra I. "Detection of power disturbances for power quality monitoring using mathematical morphology". Thesis, University of Liverpool, 2017. http://livrepository.liverpool.ac.uk/3009798/.
Pełny tekst źródłaSettipalli, Praveen. "AUTOMATED CLASSIFICATION OF POWER QUALITY DISTURBANCES USING SIGNAL PROCESSING TECHNIQUES AND NEURAL NETWORKS". UKnowledge, 2007. http://uknowledge.uky.edu/gradschool_theses/430.
Pełny tekst źródłaAxelberg, Peter. "On Tracing Flicker Sources and Classification of Voltage Disturbances". Doctoral thesis, Högskolan i Borås, Institutionen Ingenjörshögskolan, 2007. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-3416.
Pełny tekst źródłaAndo, Junior Oswaldo Hideo. "Desenvolvimento de uma metodologia para identificar e quantificar distúrbios da qualidade da energia elétrica". reponame:Biblioteca Digital de Teses e Dissertações da UFRGS, 2009. http://hdl.handle.net/10183/18419.
Pełny tekst źródłaThis dissertation presents a methodology for detection and quantification of power quality disturbances. Digital signal processing (DSP) is applied to simulated and measured disturbances. The use of DSP enables the construction of digital filters for the detection of events, and the estimation of the frequency of voltage and current signals. The disturbances set by ANEEL and ONS standards are quantified by the proposed algorithm. The program developed was tested using simulated disturbance for its validation. Field measurements were used to assess the robustness of the algorithm against signal noise and other disturbances. This research presents effective and practical software that can be used to develop a new device for measuring the disturbances of Power Quality. The results obtained through the analysis of data (simulated and field measurements) validated the proposed algorithm.
Rosado, Sebastian Pedro. "Analysis of Electric Disturbances from the Static Frequency Converter of a Pumped Storage Station". Thesis, Virginia Tech, 2001. http://hdl.handle.net/10919/34448.
Pełny tekst źródłaMaster of Science
Alshahrani, Saeed Sultan. "Detection, classification and control of power quality disturbances based on complementary ensemble empirical mode decomposition and artificial neural networks". Thesis, Brunel University, 2017. http://bura.brunel.ac.uk/handle/2438/15872.
Pełny tekst źródłaMoses, Paul S. "Operation and performance of three-phase asymmetric multi-leg power transformers subjected to nonlinear and dynamic electromagnetic disturbances". Thesis, Curtin University, 2012. http://hdl.handle.net/20.500.11937/1529.
Pełny tekst źródłaAl, Abed Isrà. "Measurement System at Large Bandwidth for Quality Evaluation of Electric Energy up to 150 kHz". Master's thesis, Alma Mater Studiorum - Università di Bologna, 2021.
Znajdź pełny tekst źródłaOubrahim, Zakarya. "On electric grid power quality monitoring using parametric signal processing techniques". Thesis, Brest, 2017. http://www.theses.fr/2017BRES0102/document.
Pełny tekst źródłaThis thesis deals with electric grid monitoring of power quality (PQ) disturbances using parametric signal processing techniques. The first contribution is devoted to the parametric spectral estimation approach for signal parameter extraction. The proposed approach exploits the multidimensional nature of the electrical signals.For spectral estimation, it uses an optimization algorithm to minimize the likelihood function. In particular, this algorithm allows to improve the estimation accuracy and has lower computational complexity than classical algorithms. An in-depth analysis of the proposed estimator has been performed. Specifically, the estimator performances are evaluated under noisy, harmonic, interharmonic, and off-nominal frequency environment. These performances are also compared with the requirements of the IEEE Standard C37.118.2011. The achieved results have shown that the proposed approach is an attractive choice for PQ measurement devices such as phasor measurement units (PMUs). The second contribution deals with the classification of power quality disturbances in three-phase power systems. Specifically, this approach focuses on voltage sag and swell signatures. The proposed classification approach is based on two main steps: 1) the signal pre-classification into one of 4 pre-classes and 2) the signature type classification using the estimate of the symmetrical components. The classifier performances have been evaluated for different data length, signal to noise ratio, interharmonic, and total harmonic distortion. The proposed estimator and classifier are validated using real power system data obtained from the DOE/EPRI National Database of Power System Events. The achieved simulations and experimental results clearly illustrate the effectiveness of the proposed techniques for PQ monitoring purpose
Książki na temat "Power quality disturbances"
Yu-Hua, Gu Irene, i Knovel (Firm), red. Signal processing of power quality disturbances. Piscataway, NJ: IEEE Press, 2006.
Znajdź pełny tekst źródłaSignal Processing of Power Quality Disturbances. New York: John Wiley & Sons, Inc., 2006.
Znajdź pełny tekst źródłaGu, Irene Y. H., i Math H. J. Bollen. Signal Processing of Power Quality Disturbances. Wiley & Sons, Incorporated, John, 2006.
Znajdź pełny tekst źródłaBollen, Math H., i Irene Gu. Signal Processing of Power Quality Disturbances. Wiley & Sons, Incorporated, John, 2006.
Znajdź pełny tekst źródłaOlsen, Isak. Electrical Generation and Distribution Systems and Power Quality Disturbances. Scitus Academics LLC, 2017.
Znajdź pełny tekst źródłaRomero, Gregorio, red. Electrical Generation and Distribution Systems and Power Quality Disturbances. InTech, 2011. http://dx.doi.org/10.5772/1426.
Pełny tekst źródłaSignal Processing of Power Quality Disturbances (IEEE Press Series on Power Engineering). Wiley-IEEE Press, 2006.
Znajdź pełny tekst źródłaCzęści książek na temat "Power quality disturbances"
Ping, Ji. "Power Quality Disturbances Detection Based on EMD". W Advances in Intelligent Systems and Computing, 88–99. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-14680-1_11.
Pełny tekst źródłaPanigrahi, B. K., i Nilanjan Senroy. "A Meta-heuristic Approach for Optimal Classification of Power Quality Disturbances". W Power Electronics and Power Systems, 53–64. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-17190-6_2.
Pełny tekst źródłaBorges, Fábbio, Ivan Silva, Ricardo Fernandes i Lucas Moraes. "Classification of Power Quality Disturbances Using Forest Algorithm". W Data Mining and Big Data, 247–52. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-40973-3_24.
Pełny tekst źródłaFonseca, Tiago, i João F. Martins. "Power Quality Disturbances Recognition Based on Grammatical Inference". W Technological Innovation for Sustainability, 474–80. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19170-1_52.
Pełny tekst źródłaSamal, Laxmipriya, Hemanta Kumar Palo, Badri Narayan Sahu i Debashisa Samal. "Characterization of Power Quality Disturbances and Their Efficient Classification". W Advances in Electrical Control and Signal Systems, 969–81. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5262-5_75.
Pełny tekst źródłaMahela, Om Prakash, Shruti Rathore, Shoyab Ali i Baseem Khan. "An Algorithm for Identification of Multiple Power Quality Disturbances". W Artificial Intelligence-Based Energy Management Systems for Smart Microgrids, 201–30. Boca Raton: CRC Press, 2022. http://dx.doi.org/10.1201/b22884-10.
Pełny tekst źródłaUmashankar, Subramaniam, Vishnu Kalaiselvan Arun Shankar, Shanmugam Paramasivam, Padmanaban Sanjeevikumar i K. Anil Kumar. "Survey of Power Quality Discrete Disturbances in an Educational Institution". W Advances in Power Systems and Energy Management, 377–91. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-4394-9_38.
Pełny tekst źródłaAlghazi, Omnia Sameer, i Saeed Mian Qaisar. "Power Quality Disturbances Classification Based on the Machine Learning Algorithms". W Research and Innovation Forum 2022, 165–77. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-19560-0_13.
Pełny tekst źródłaFang, Fang, Zhensheng Wang, Tianhong Pan, Jun Tao i Huaying Zhang. "Distinguishment of Power Quality Disturbances Using Segmented Adaptive S Transform". W Conference Proceedings of 2022 2nd International Joint Conference on Energy, Electrical and Power Engineering, 123–28. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-4334-0_15.
Pełny tekst źródłaKrishnanand, K. R., Santanu Kumar Nayak, B. K. Panigrahi, V. Ravikumar Pandi i Priyadarshini Dash. "Classification of Power Quality Disturbances Using GA Based Optimal Feature Selection". W Lecture Notes in Computer Science, 561–66. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-11164-8_91.
Pełny tekst źródłaStreszczenia konferencji na temat "Power quality disturbances"
Nahoum, Pamela, Emile Yammine, Elie Karam, Maged B. Najjar i Moustapha El Hassan. "Real generation of power quality disturbances". W 2015 Third International Conference on Technological Advances in Electrical, Electronics and Computer Engineering (TAEECE). IEEE, 2015. http://dx.doi.org/10.1109/taeece.2015.7113631.
Pełny tekst źródłaKlaic, Z., D. Sipl i S. Nikolovski. "Economic impact of power quality disturbances". W 22nd International Conference and Exhibition on Electricity Distribution (CIRED 2013). Institution of Engineering and Technology, 2013. http://dx.doi.org/10.1049/cp.2013.1083.
Pełny tekst źródłaKezunovic, M. "Automated analysis of power quality disturbances". W 16th International Conference and Exhibition on Electricity Distribution (CIRED 2001). IEE, 2001. http://dx.doi.org/10.1049/cp:20010781.
Pełny tekst źródłaShin, Y. J., E. Powers, M. Grady i A. Arapostathis. "Power quality indices for transient disturbances". W 2006 IEEE Power Engineering Society General Meeting. IEEE, 2006. http://dx.doi.org/10.1109/pes.2006.1708866.
Pełny tekst źródłaRibeiro, M. V., C. A. Marques, C. A. Duque, A. S. Cerqueira i J. L. R. Pereira. "Power quality disturbances detection using HOS". W 2006 IEEE Power Engineering Society General Meeting. IEEE, 2006. http://dx.doi.org/10.1109/pes.2006.1709131.
Pełny tekst źródłaIslam, Md Moinul, Dhiman Chowdhury, Md Multan Biswas, Navila Rahman i Charles Brice. "Redefined Power Quality Indices for Stationary and Nonstationary Power Quality Disturbances". W SoutheastCon 2019. IEEE, 2019. http://dx.doi.org/10.1109/southeastcon42311.2019.9020388.
Pełny tekst źródłaIslam, Moinul, P. Sanjeevikumar i Charles W. Brice. "Redefined Power Quality Indices for Stationary and Nonstationary Power Quality Disturbances". W IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society. IEEE, 2019. http://dx.doi.org/10.1109/iecon.2019.8927242.
Pełny tekst źródłaMorrison, R. E. "Voltage disturbances, waveform distortion and unbalance". W IEE Colloquium on Issues in Power Quality. IEE, 1995. http://dx.doi.org/10.1049/ic:19951420.
Pełny tekst źródłaRajagopalan, Satish, Brian Fortenbery i Dennis Symanski. "Power quality disturbances within DC data centers". W INTELEC 2010 - 2010 International Telecommunications Energy Conference. IEEE, 2010. http://dx.doi.org/10.1109/intlec.2010.5525723.
Pełny tekst źródłaCerqueira, Augusto S., Marcelo A. A. Lima, Marlon L. G. Salmento, Julio V. de Souza i Denis V. Coury. "Nonlinear filtering for Power Quality disturbances analysis". W 2010 14th International Conference on Harmonics and Quality of Power (ICHQP). IEEE, 2010. http://dx.doi.org/10.1109/ichqp.2010.5625382.
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