A Hilbert Transform-Based Smart Sensor for Detection, Classification, and Quantification of Power Quality Disturbances
暂无分享,去创建一个
Roque Alfredo Osornio-Rios | Martin Valtierra-Rodriguez | David Granados-Lieberman | René de Jesús Romero-Troncoso | Luis Morales-Velazquez
[1] Zwe-Lee Gaing,et al. Wavelet-based neural network for power disturbance recognition and classification , 2004, IEEE Transactions on Power Delivery.
[2] Giampaolo Buticchi,et al. Detection Method of the DC Bias in Distribution Power Transformers , 2013, IEEE Transactions on Industrial Electronics.
[3] G. Jang,et al. Time-Frequency Analysis of Power-Quality Disturbances via the Gabor–Wigner Transform , 2010, IEEE Transactions on Power Delivery.
[4] Bijaya Ketan Panigrahi,et al. Detection and classification of power quality disturbances using S-transform and modular neural network , 2008 .
[5] Janusz Mindykowski,et al. Development of DSP-based instrumentation for power quality monitoring on ships , 2010 .
[6] Z. Gaing. Wavelet-based neural network for power disturbance recognition and classification , 2004 .
[7] Julio Barros,et al. A virtual measurement instrument for electrical power quality analysis using wavelets , 2009 .
[8] Sanggil Kang,et al. A Reliable Data Delivery Mechanism for Grid Power Quality Using Neural Networks in Wireless Sensor Networks , 2010, Sensors.
[9] M. Piedade,et al. Eddy currents testing defect characterization based on non-linear regressions and artificial neural networks , 2012, 2012 IEEE International Instrumentation and Measurement Technology Conference Proceedings.
[10] Rene de Jesus Romero-Troncoso,et al. Techniques and methodologies for power quality analysis and disturbances classification in power systems: a review , 2011 .
[11] Eduardo Cabal-Yepez,et al. A Real-Time Smart Sensor for High-Resolution Frequency Estimation in Power Systems , 2009, Sensors.
[12] José G. M. S. Decanini,et al. Detection and classification of voltage disturbances using a Fuzzy-ARTMAP-wavelet network , 2011 .
[13] Sanggil Kang,et al. A Design of Wireless Sensor Networks for a Power Quality Monitoring System , 2010, Sensors.
[14] Rene de Jesus Romero-Troncoso,et al. FPGA-based entropy neural processor for online detection of multiple combined faults on induction motors , 2012 .
[15] Randy Frank. Understanding Smart Sensors , 1995 .
[16] Thai Nguyen,et al. Power quality disturbance classification utilizing S-transform and binary feature matrix method , 2009 .
[17] Abdelazeem A. Abdelsalam,et al. Characterization of power quality disturbances using hybrid technique of linear Kalman filter and fu , 2012 .
[18] Antonello Monti,et al. Design of Smart MVDC Power Grid Protection , 2011, IEEE Transactions on Instrumentation and Measurement.
[19] Dushan Boroyevich,et al. Wavelet Transform as an Alternative to the Short-Time Fourier Transform for the Study of Conducted Noise in Power Electronics , 2008, IEEE Transactions on Industrial Electronics.
[20] O. Ozgonenel,et al. A new classification for power quality events in distribution systems , 2013 .
[21] Eduardo Cabal-Yepez,et al. FPGA-Based Online Detection of Multiple-Combined Faults through Information Entropy and Neural Networks , 2010, 2010 International Conference on Reconfigurable Computing and FPGAs.
[22] E.F. El-Saadany,et al. Online tracking of voltage flicker utilizing energy operator and Hilbert transform , 2004, IEEE Transactions on Power Delivery.
[23] Samir Mekid,et al. Further Structural Intelligence for Sensors Cluster Technology in Manufacturing , 2006, Sensors (Basel, Switzerland).
[24] A. Cruz Serra,et al. PQ Monitoring System for Real-Time Detection and Classification of Disturbances in a Single-Phase Power System , 2008, IEEE Transactions on Instrumentation and Measurement.
[25] R. Sukanesh,et al. Power quality disturbance classification using Hilbert transform and RBF networks , 2010, Neurocomputing.
[26] José Rivera,et al. Improved Progressive Polynomial Algorithm for Self-Adjustment and Optimal Response in Intelligent Sensors , 2008, Sensors.
[27] Eduardo Cabal-Yepez,et al. Novel Oversampling Technique for Improving Signal-to-Quantization Noise Ratio on Accelerometer-Based Smart Jerk Sensors in CNC Applications , 2009, Sensors.
[28] Pierluigi Caramia,et al. Power Quality Indices in Liberalized Markets , 2009 .
[29] Muhsin Tunay Gençoglu,et al. An expert system based on S-transform and neural network for automatic classification of power quality disturbances , 2009, Expert Syst. Appl..