fsaad06 / Motor-Fault-Detection-Using-VibrationLinks
CNN and LSTM have been trained on CWRU Bearing Dataset and results tested on Simulink Data
☆11Updated 9 months ago
Alternatives and similar repositories for Motor-Fault-Detection-Using-Vibration
Users that are interested in Motor-Fault-Detection-Using-Vibration are comparing it to the libraries listed below
Sorting:
- 基于深度学习的机械故障诊断☆35Updated last year
- ☆64Updated 4 years ago
- A Rolling Bearing Fault Diagnosis Method Using Multi-Sensor Data and Periodic Sampling （pytorch)☆41Updated 2 years ago
- ☆23Updated 4 years ago
- Master Thesis: Intelligent Ball Screw Fault Diagnosis Using Deep Learning Based Domain Adaptation and Transfer Learning☆40Updated 2 years ago
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆29Updated last year
- PyTorch Implementation of "Understanding and Learning Discriminant Features based on Multiattention 1DCNN for Wheelset Bearing Fault Diag…☆27Updated last year
- 一种数字孪生辅助的高度不平衡故障诊断新框架☆92Updated last year
- Benchmark code for optimizers of bearing fault diagnosis. This code provides moduled features of data download, preprocessing, training, …☆46Updated last year
- Deep learning models (RNN & LSTM & WaveNet) for predicting the remaining useful life of rolling element bearings using time series health…☆14Updated 4 months ago
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆42Updated last year
- A Fault Diagnosis Method of Rotor System Based on Parallel Convolutional Neural Network Architecture with Attention Mechanism☆34Updated 2 years ago
- ☆13Updated 3 years ago
- 基于深度学习的机械设备故障诊断方法研究☆42Updated 3 years ago
- The PyTorch version for Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis.☆58Updated 3 years ago
- Code for our paper "Domain adaptive transfer learning for fault diagnosis." 2019 Prognostics and System Health Management Conference (PHM…☆22Updated 3 years ago
- GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis☆35Updated 2 years ago
- Physics-informed Interpretable Wavelet Weight Initialization and Balanced Dynamic Adaptive Threshold for Intelligent Fault Diagnosis of R…☆81Updated 2 months ago
- WT-planetary-gearbox-datasets☆67Updated last year
- Multi-scale Quaternion CNN and BiGRU with Cross Self-attention Feature Fusion for Fault Diagnosis of Bearing☆41Updated last year
- A modular framework for deep learning research in Prognostics and Health Management (PHM), enabling streamlined execution of key tasks su…☆29Updated 2 weeks ago
- case study for remaining useful life estimation☆33Updated last year
- ☆33Updated last year
- 1D-CNN Vibration Signal Bearing Fault Diagnosis☆53Updated last year
- Unofficial PyTorch implementation of the paper "Variational encoding approach for interpretable assessment of remaining useful life estim…☆22Updated 3 years ago
- Implementation of categorical generative adversarial networks for unsupervised bearing fault diagnostics☆57Updated 3 years ago
- Source codes for the paper "Few-shot bearing fault diagnosis based on meta-learning with discriminant space optimization" which published…☆33Updated 7 months ago
- 机械故障诊断公开数据集☆58Updated last year
- Innovative bearing fault diagnosis using SST algorithm for time-frequency images. Accurately transform signals into efficient time-freque…☆21Updated last year
- A few shot learning repository for bearing fault diagnosis.☆92Updated last year