Classification video



 






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Classification

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  Neural and Non-neural Techniques for Classification  Summary of Classification models Classifier Classification Accuracy (%) Test Set Comments Shallow NN 99.9% Number of neurons: 12, Architecture: 5In|5out , ,Preprocessor: PCA LSTM 98.9% Number of neurons: 33, Architecture: 5In|5out, Preprocessor: PCA, Activation: Softmax Fine Tree 98.8% Max. Number of Splits = 100, Split Criterion: Gini’s Diversity index Medium Tree 98.7% Max. Number of Splits = 20, Split Criterion: Gini’s Diversity index Coarse Tree 60.1% Max. Number of Splits = 4, Split Criterion: Gini’s Diversity index Linear Discriminant 40.9% Full Covariance Structure Quadratic Discriminant 63.6% Full Covariance Structure Linear SVM ...
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Fast Fourier Transform Analysis on: Parks and Extended Parks Quantity

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  Extended Park Vector Approach and 15 Statistical Features The EPVA method works by converting the three-phase currents (i_sa, i_sb, i_sc)  into direct and quadrature axis (id and iq)    and it finds the modulus id + jiq (ip) of     as follows [1]: Note: Sample length = 100 samples           Overlap = 65 samples   Fast Fourier Transform (FFT) analysis: Characteristic Fault Frequencies (CFFs) 0.3% fault at no load and 100% load (a) 0.7% fault at no load and 100% load (b) Figure 1: Frequency response at no load and 100% load condition, (a)  for 0.3% severity and (b) 0.7% severity   1.05% fault at no load and 100% load (a) 2.1% fault at no load and 100% load (b) Zoom view of the Parks quantity (c) Figure 2: Frequency response at no load and 100% load condition, (a)  for 1.05% severity, (b) 2.1% severity and (c) zoom view of id, and iq . Refere...
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