Voltage Variation Signals Source Identification and Diagnosis Method
暂无分享,去创建一个
Abdul Rahim Abdullah | Weihown Tee | M. R. Yusoff | Muhamad Faizal Yaakub | Mohd Rahimi Yusoff | A. Abdullah | M. F. Yaakub | Weihown Tee
[1] Boualem Boashash,et al. Time-frequency diagnosis, condition monitoring, and fault detection , 2016 .
[2] Chul-Hwan Kim,et al. Fault type classification in transmission line using STFT , 2012 .
[3] Abdul Rahim Abdullah,et al. Power Quality Signals Classification System Using Time-Frequency Distribution , 2014 .
[4] A.C. Liew,et al. Neural-network-based signature recognition for harmonic source identification , 2006, IEEE Transactions on Power Delivery.
[5] Francois Leonard,et al. Phase spectrogram and frequency spectrogram as new diagnostic tools , 2007 .
[6] Azah Mohamed,et al. Power quality diagnosis using time frequency analysis and rule based techniques , 2011, Expert Syst. Appl..
[7] Ranjana Sodhi,et al. A rule-based S-Transform and AdaBoost based approach for power quality assessment , 2016 .
[8] Basel Alsayyed Ahmad,et al. Review of power quality monitoring systems , 2015, 2015 International Conference on Industrial Engineering and Operations Management (IEOM).
[9] Om Prakash Mahela,et al. A critical review of detection and classification of power quality events , 2015 .
[10] Bhim Singh,et al. Recognition of Power-Quality Disturbances Using S-Transform-Based ANN Classifier and Rule-Based Decision Tree , 2015, IEEE Transactions on Industry Applications.
[11] Rene de Jesus Romero-Troncoso,et al. Techniques and methodologies for power quality analysis and disturbances classification in power systems: a review , 2011 .
[12] Juan Carlos López,et al. A qualitative agent-based approach to power quality monitoring and diagnosis , 2010, Integr. Comput. Aided Eng..
[13] Songbo Tan,et al. Neighbor-weighted K-nearest neighbor for unbalanced text corpus , 2005, Expert Syst. Appl..
[14] Laxman M. Waghmare,et al. Integrated DWT–FFT approach for detection and classification of power quality disturbances , 2014 .
[15] Seckin Karasu,et al. Classification of power quality disturbances by using ensemble technique , 2016, 2016 24th Signal Processing and Communication Application Conference (SIU).
[16] Math Bollen,et al. Time-frequency and time-scale domain analysis of voltage disturbances , 2000 .
[17] Ahmad Salemnia,et al. Detection and classification of power-quality events using discrete Gabor transform and Support Vector Machine , 2015, The 6th Power Electronics, Drive Systems & Technologies Conference (PEDSTC2015).
[18] K.R. Pattipati,et al. A dependency model-based approach for identifying and evaluating power quality problems , 2004, IEEE Transactions on Power Delivery.
[19] Bijaya Ketan Panigrahi,et al. Detection and classification of power quality disturbances using S-transform and modular neural network , 2008 .
[20] Qiang Zhang,et al. Deconvolutive Short-Time Fourier Transform Spectrogram , 2009, IEEE Signal Processing Letters.
[21] Abdul Rahim Abdullah,et al. A New Competitive Binary Grey Wolf Optimizer to Solve the Feature Selection Problem in EMG Signals Classification , 2018, Comput..
[22] Mahmoud Pesaran,et al. A comprehensive overview on signal processing and artificial intelligence techniques applications in classification of power quality disturbances , 2015 .
[23] Adly A. Girgis,et al. Automated fault location and diagnosis on electric power distribution feeders , 1997 .
[24] 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..
[25] Abdul Rahim Abdullah,et al. EMG Feature Selection and Classification Using a Pbest-Guide Binary Particle Swarm Optimization , 2019, Comput..
[26] S. Mishra,et al. Detection and Classification of Power Quality Disturbances Using S-Transform and Probabilistic Neural Network , 2008, IEEE Transactions on Power Delivery.
[27] Sovan Dalai,et al. Diagnosis of Power Quality Events Based on Detrended Fluctuation Analysis , 2018, IEEE Transactions on Industrial Electronics.
[28] R. Bracewell. The Fourier transform. , 1989, Scientific American.