Dec 1, 2024 · An Internet of Things (IoT) platform integrated with a one-dimensional convolutional neural network (1D-CNN) deep learning architecture is proposed for robust and accurate fault …

Sep 5, 2024 · In this study, one-dimensional convolutional neural network (1D CNN) architecture, which is suitable for processing sequential data like time series or signals, was employed for …

This example shows how to classify sequence data using a 1-D convolutional neural network. To train a deep neural network to classify sequence data, you can use a 1-D convolutional neural …

Jan 26, 2024 · Image Analysis: Engineers use MATLAB’s Deep Learning Toolbox to build and train Convolutional Neural Networks (CNNs) for image-based fault detection. These models …

Jul 27, 2017 · In this paper, the use of 1D Convolutional Neural Networks (CNNs) is proposed for a fast and accurate bearing fault detection system. The feature extraction and classification …

Sep 1, 2021 · This paper presents a fast and accurate fault detection, classification and direction discrimination algorithm of transmission lines using one-dimensional convolutional neural …

A novel fault diagnosis method based on one-dimensional convolutional neural network (1D-CNN) for three-phase full-bridge inverter is proposed, which combines the two parts of adaptive fault …

A) /Application Specific Integrated Circuit (ASIC) design to solve the problem using 1D Convolutional Neural Network ( NN). In this thesis, FPGA implementation of 1D CNN for early …

Mar 21, 2017 · In order to feed the data with time series into the Convolutional Neural Networks Toolbox, you can chop the time series into windows, then calculate the spectrogram, This way …

Feb 28, 2022 · This paper proposes a multi-head 1D Convolution Neural Network (1D CNN) to detect and diagnose six different types of faults in an electric motor using two accelerometers …