publicações selecionadas On the use of the Gaussian mixture model and the Mahalanobis distance for fault diagnosis in dynamic components of electric motors An efficient deep learning model to predict the structural response of CFRP isogrid tubes Fault classification in three-phase motors based on vibration signal analysis and artificial neural networks Fault Detection and Diagnosis in Electric Motors Using Convolution Neural Network and Short-Time Fourier Transform Fault detection and diagnosis in electric motors using 1d convolutional neural networks with multi-channel vibration signals Fault detection and diagnosis using vibration signal analysis in frequency domain for electric motors considering different real fault types On the influence of rectangular Z-pins parameters on mode II delamination resistance of through the thickness reinforced composites An Experimental Characterisation on Rectangular Z-Pinned Parameters in the Dynamic Modal Responses of Reinforced Composites Machine Learning-Based Fault Detection and Diagnosis in Electric Motors Deep Multiobjective Design Optimization of CRFP isogrid tubes using Lichtenberg Algorithm A comparison between chaos theory and Lévy flights in sunflower optimization for feature selection
