fsaad06 / Motor-Fault-Detection-Using-VibrationLinks
CNN and LSTM have been trained on CWRU Bearing Dataset and results tested on Simulink Data
☆12Updated last year
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:
- 机械故障诊断公开数据集☆64Updated last year
- 基于深度学习的机械故障诊断☆36Updated last year
- code for TII paper "Intelligent Mechanical Fault Diagnosis Using Multi-Sensor Fusion and Convolution Neural Network"☆38Updated 3 years ago
- WT-planetary-gearbox-datasets☆75Updated last year
- Python codes “Jupyter notebooks” for the paper entitled "A Hybrid Method for Condition Monitoring and Fault Diagnosis of Rolling Bearings…☆88Updated last year
- Open dataset in the field of mechanical fault diagnosis under variable speed conditions, providing benchmark for algorithm performance ev…☆31Updated last year
- This is the original dataset that we use in our research work, but it may difficult to find in the original link.☆27Updated 4 years ago
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆30Updated last year
- 基于小波时频图与 Swin Transformer 的轴承故障诊断方法☆49Updated 2 years ago
- PyTorch Implementation of "Understanding and Learning Discriminant Features based on Multiattention 1DCNN for Wheelset Bearing Fault Diag…☆29Updated 2 years ago
- 一种数字孪生辅助的高度不平衡故障诊断新框架☆98Updated last year
- Implementation of categorical generative adversarial networks for unsupervised bearing fault diagnostics☆58Updated 3 years ago
- Compound Fault Diagnosis Dataset of Rotating Machinery☆35Updated last year
- Use GRU,LSTM,CNN to predict the RUL in C-MAPSS dataset☆28Updated last year
- Multi-scale Quaternion CNN and BiGRU with Cross Self-attention Feature Fusion for Fault Diagnosis of Bearing☆44Updated last year
- An official code for paper: TFPred: Learning discriminative representations from unlabeled data for few-label rotating machinery fault di…☆64Updated last year
- GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis☆37Updated 2 years ago
- 一种新的基于动态图注意力网络和标签传播策略的半监督故障诊断方法☆35Updated 2 years ago
- Detection and multi-class classification of Bearing faults using Image classification from Case Western Reserve University data of bearin…☆21Updated 3 years ago
- Physics-informed Interpretable Wavelet Weight Initialization and Balanced Dynamic Adaptive Threshold for Intelligent Fault Diagnosis of R…☆86Updated 5 months ago
- Abdulhamid97Mousa / Bearing-Fault-Diagnosis-Method-Based-on-Spectrum-Map-Information-Fusion-and-CNNsReproduce Published Article "Bearing Fault Diagnosis Method Based on Spectrum Map Information Fusion and Convolutional Neural Network""☆23Updated 2 years ago
- The PyTorch version for Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis.☆61Updated 3 years ago
- Benmarking for GNN-based RUL prediction☆36Updated last year
- Implement GANs to generate time-series signals for imbalanced learning problem. The experiments are conducted using CWRU bearing data.☆85Updated 3 years ago
- Awsome-Multi-modal-based PHM （基于多模态的故障诊断和预测）☆85Updated 3 months ago
- Master Thesis: Intelligent Ball Screw Fault Diagnosis Using Deep Learning Based Domain Adaptation and Transfer Learning☆42Updated 2 years ago
- [IEEE TIM] This is official code for paper "Few-Shot Bearing Fault Diagnosis via Ensembling Transformer-based Model with Mahalanobis Dist…☆119Updated 8 months ago
- ☆23Updated 2 years ago
- Contains code to compare several health index construction methods using run-to-failure bearing dataset☆23Updated 2 years ago
- for my thesis work☆17Updated 4 years ago