devamsheth21 / Bearing-Fault-Detection-using-Deep-Learning-approachLinks
Detection and multi-class classification of Bearing faults using Image classification from Case Western Reserve University data of bearing vibrations recorded at different frequencies. Developed an algorithm to convert vibrational data into Symmetrized Dot Pattern images based on a Research paper. Created an Image dataset of 50 different paramet…
☆21Updated 3 years ago
Alternatives and similar repositories for Bearing-Fault-Detection-using-Deep-Learning-approach
Users that are interested in Bearing-Fault-Detection-using-Deep-Learning-approach are comparing it to the libraries listed below
Sorting:
- Open dataset in the field of mechanical fault diagnosis under variable speed conditions, providing benchmark for algorithm performance ev…☆31Updated last year
- Code sharing of fault diagnosis papers.☆51Updated last year
- WT-planetary-gearbox-datasets☆77Updated last week
- GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis☆37Updated 2 years ago
- Physics-informed Interpretable Wavelet Weight Initialization and Balanced Dynamic Adaptive Threshold for Intelligent Fault Diagnosis of R…☆86Updated 5 months ago
- Unsupervised Deep Transfer Learning for Intelligent Fault Diagnosis: An Open Source and Comparative Study (multi_domain))☆56Updated 4 years ago
- Random convolution layer: An auxiliary method to improve fault diagnosis performance☆30Updated last year
- Interpretable Physics-informed Domain Adaptation Paradigm for Cross-machine Transfer Fault Diagnosis （故障诊断）☆38Updated last year
- Master Thesis: Intelligent Ball Screw Fault Diagnosis Using Deep Learning Based Domain Adaptation and Transfer Learning☆42Updated 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☆36Updated 2 years ago
- An official code for paper: TFPred: Learning discriminative representations from unlabeled data for few-label rotating machinery fault di…☆64Updated last year
- The PyTorch version for Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis.☆61Updated 3 years ago
- A Fault Diagnosis Method of Rotor System Based on Parallel Convolutional Neural Network Architecture with Attention Mechanism☆36Updated 2 years ago
- A few shot learning repository for bearing fault diagnosis.☆100Updated 2 years ago
- ☆111Updated 2 years ago
- ☆20Updated 2 years ago
- ☆34Updated 2 years ago
- Source codes for the paper "Fast Sparsity-Assisted Signal Decomposition with Non-Convex Enhancement for Bearing Fault Diagnosis"☆44Updated 4 years ago
- Innovative bearing fault diagnosis using SST algorithm for time-frequency images. Accurately transform signals into efficient time-freque…☆21Updated 2 years ago
- 基于深度学习的机械故障诊断☆37Updated last year
- 一种用于复杂工况机 械故障检测的GNN方法☆48Updated 2 years ago
- code for TII paper "Intelligent Mechanical Fault Diagnosis Using Multi-Sensor Fusion and Convolution Neural Network"☆38Updated 3 years ago
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆43Updated 2 years ago
- code for DFAWnet☆36Updated 2 years ago
- This repository is for the Few-shot Learning for the fault diagnosis of large industrial equipment.☆94Updated 3 years ago
- PyTorch Implementation of "Understanding and Learning Discriminant Features based on Multiattention 1DCNN for Wheelset Bearing Fault Diag…☆29Updated 2 years ago
- 基于Laplace小波卷积和BiGRU的少量样本故障诊断方法 (Small sample fault diagnosis based on Laplace wavelet convolution and BiGRU)☆59Updated 4 months ago
- this is the open code of paper entitled "TFN: An Interpretable Neural Network With Time Frequency Transform Embedded for Intelligent Faul…☆139Updated 6 months ago
- A Rolling Bearing Fault Diagnosis Method Using Multi-Sensor Data and Periodic Sampling （pytorch)☆43Updated 2 years ago
- The intelligent fault diagnosis of HNU IDG☆111Updated 2 years ago