mdzalfirdausi / CNN-for-Paderborn-Bearing-DatasetLinks
in Python
☆18Updated last year
Alternatives and similar repositories for CNN-for-Paderborn-Bearing-Dataset
Users that are interested in CNN-for-Paderborn-Bearing-Dataset are comparing it to the libraries listed below
Sorting:
- ☆113Updated 3 years ago
- An official code for paper: TFPred: Learning discriminative representations from unlabeled data for few-label rotating machinery fault di…☆69Updated last year
- SQ dataset for fault diagnosis pulished by Xi'an jiaotong University☆15Updated 3 years ago
- ☆34Updated 3 years ago
- Transfer learning☆60Updated 4 years ago
- Unsupervised Deep Transfer Learning for Intelligent Fault Diagnosis: An Open Source and Comparative Study (multi_domain))☆56Updated 4 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)☆66Updated 6 months ago
- This is a github repository for Adversarial transfer learning with constrastive coding for time series regression problem.☆51Updated 3 years ago
- case study for remaining useful life estimation☆34Updated last year
- Generalized Multiscale Feature Extraction for Remaining Useful Life Prediction of Bearings with Generative Adversarial Networks☆46Updated 3 years ago
- This is the original dataset that we use in our research work, but it may difficult to find in the original link.☆29Updated 4 years ago
- Remain useful life prediction of rolling bearing.☆58Updated 5 years ago
- Master Thesis: Intelligent Ball Screw Fault Diagnosis Using Deep Learning Based Domain Adaptation and Transfer Learning☆43Updated 3 years ago
- This is an open source lib called "DGFDBenchmark" for domain-generalization-based fault diagnosis☆99Updated 7 months ago
- Remaining useful life prediction by Transformer-based Model☆53Updated 3 years ago
- : Faulty and healthy gear box Data sets need to be analyzed in detail. Here, we created this dataset for those who do research in wind tu…☆62Updated 7 years ago
- ☆65Updated 5 years ago
- The source code of paper: Trend attention fully convolutional network for remaining useful life estimation in the turbofan engine PHM of …☆61Updated 2 years ago
- ☆23Updated 4 years ago
- ☆46Updated 3 years ago
- A Rolling Bearing Fault Diagnosis Method Using Multi-Sensor Data and Periodic Sampling （pytorch)☆45Updated 3 years ago
- Attention-based multihead model for optimized aircraft engine remaining useful life prediction☆57Updated last year
- Pytorch implementation for Domain Adaptive Remaining Useful Life Prediction with Transformer☆81Updated 2 years ago
- The PyTorch version for Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis.☆62Updated 4 years ago
- Contains code to compare several health index construction methods using run-to-failure bearing dataset☆27Updated 3 years ago
- The code of DAST☆61Updated 3 years ago
- ☆13Updated 4 months ago
- ☆73Updated last year
- 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…☆94Updated last year
- ☆33Updated 2 years ago