☆124Aug 27, 2024Updated last year
Alternatives and similar repositories for QCNN_for_bearing_diagnosis
Users that are interested in QCNN_for_bearing_diagnosis are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Implementation of categorical generative adversarial networks for unsupervised bearing fault diagnostics☆61Apr 14, 2022Updated 4 years ago
- ☆38Mar 27, 2024Updated 2 years ago
- ☆30Nov 7, 2024Updated last year
- ☆22Nov 23, 2022Updated 3 years ago
- Codes of paper "A Novel Framework Based on Adaptive Multi-Task Learning for Bearing Fault Diagnosis".☆25Apr 28, 2023Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- 一种轻量化故障诊断框架——LiConvFormer☆162Dec 24, 2024Updated last year
- Physics-informed Interpretable Wavelet Weight Initialization and Balanced Dynamic Adaptive Threshold for Intelligent Fault Diagnosis of R…☆105Apr 24, 2025Updated last year
- ☆75Jan 9, 2024Updated 2 years ago
- Fault Diagnosis Employing Transfer Learning Techniques: Domain Adaptation and Domain Generalization☆577Oct 10, 2024Updated last year
- Bearing fault diagnosis model based on MCNN-LSTM☆429Jul 20, 2023Updated 2 years ago
- ☆54Mar 28, 2025Updated last year
- The code for NISTA_Net☆11Apr 7, 2023Updated 3 years ago
- A transfer learning fault diagnosis repository covering popular algorithms☆354Aug 6, 2024Updated last year
- GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis☆43Mar 27, 2023Updated 3 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- A Rolling Bearing Fault Diagnosis Method Using Multi-Sensor Data and Periodic Sampling （pytorch)☆47Oct 31, 2022Updated 3 years ago
- The code of Interpretable Convolutional Neural Network with Multilayer Wavelet for Noise-Robust Machinery Fault Diagnosis☆53Jul 6, 2022Updated 3 years ago
- Interpretable Fault Diagnosis of Rolling Element Bearings with Temporal Logic Neural Network☆13Jul 3, 2021Updated 4 years ago
- 基于注意力机制的少量样本故障诊断 pytorch☆287Mar 15, 2026Updated last month
- Deep discriminative transfer learning network for cross-machine fault diagnosis☆122Dec 14, 2024Updated last year
- This is the code for WaveletKernelNet.☆145Oct 10, 2024Updated last year
- Multi-scale Quaternion CNN and BiGRU with Cross Self-attention Feature Fusion for Fault Diagnosis of Bearing☆53May 28, 2024Updated last year
- ☆23Mar 28, 2023Updated 3 years ago
- An effective algorithm for training a quadratic network☆13Jun 3, 2022Updated 3 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Source codes for the paper "Deep Learning Algorithms for Rotating Machinery Intelligent Diagnosis: An Open Source Benchmark Study"☆759Nov 20, 2021Updated 4 years ago
- Code sharing of fault diagnosis papers.☆60Dec 30, 2023Updated 2 years ago
- Source codes for the paper "Applications of Unsupervised Deep Transfer Learning to Intelligent Fault Diagnosis: A Survey and Comparative …☆530Mar 1, 2022Updated 4 years ago
- Interpretable Physics-informed Domain Adaptation Paradigm for Cross-machine Transfer Fault Diagnosis （故障诊断）☆48May 13, 2024Updated last year
- Single-Source Domain Generalization for Bearing Fault Diagnosis Using Feature-Augmented Adaptive Neuro-Fuzzy Inference System☆11Apr 13, 2024Updated 2 years ago
- this is the open code of paper entitled "TFN: An Interpretable Neural Network With Time Frequency Transform Embedded for Intelligent Faul…☆155Mar 28, 2025Updated last year
- ☆26Nov 21, 2022Updated 3 years ago
- The PyTorch version for Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis.☆63Dec 1, 2021Updated 4 years ago
- Group sparse Canonical Correlation Analysis (group sparse CCA) is a method designed to study the mutual relationship between two differen…☆13Nov 5, 2018Updated 7 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- WT-planetary-gearbox-datasets☆88Oct 9, 2025Updated 7 months ago
- [IEEE TIM] This is official code for paper "Few-Shot Bearing Fault Diagnosis via Ensembling Transformer-based Model with Mahalanobis Dist…☆140Jan 15, 2025Updated last year
- A Bayesian Probabilistic Framework for Mechanical Fault Diagnosis☆15Mar 28, 2024Updated 2 years ago
- This is the corresponding repository of paper Limited Data Rolling Bearing Fault Diagnosis with Few-shot Learning☆381Oct 10, 2022Updated 3 years ago
- ☆13May 21, 2025Updated 11 months ago
- Demo code release for TPTLN: Combining the theoretical bound and deep adversarial network for machinery open-set diagnosis transfer☆47Jan 12, 2023Updated 3 years ago
- This is a dataset of inter-shaft bearing based on the vibration signal of rotors and casings, which comes from a aero-engine test with in…☆102Apr 8, 2024Updated 2 years ago