mdzalfirdausi / CNN-for-Paderborn-Bearing-DatasetLinks
in Python
☆18Updated 8 months ago
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:
- Transfer learning☆53Updated 3 years ago
- ☆108Updated 2 years ago
- Generalized Multiscale Feature Extraction for Remaining Useful Life Prediction of Bearings with Generative Adversarial Networks☆41Updated 3 years ago
- Remain useful life prediction of rolling bearing.☆57Updated 4 years ago
- This is a github repository for Adversarial transfer learning with constrastive coding for time series regression problem.☆48Updated 3 years ago
- remaining Useful Life (RUL) Prediction of Mechanical Bearings using Continuous Wavelet Transform (CWT), Convolution Neural Network (CNN),…☆166Updated last year
- case study for remaining useful life estimation☆33Updated last year
- : 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…☆55Updated 7 years ago
- Unsupervised Deep Transfer Learning for Intelligent Fault Diagnosis: An Open Source and Comparative Study (multi_domain))☆55Updated 3 years ago
- One model for RUL and fault prognostic prediction on XJTU bearing dataset☆95Updated 5 years ago
- An official code for paper: TFPred: Learning discriminative representations from unlabeled data for few-label rotating machinery fault di…☆64Updated last year
- 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)☆56Updated last month
- Pytorch implementation for Domain Adaptive Remaining Useful Life Prediction with Transformer☆69Updated 2 years ago
- ☆99Updated 2 years ago
- Implement GANs to generate time-series signals for imbalanced learning problem. The experiments are conducted using CWRU bearing data.☆84Updated 3 years ago
- Master Thesis: Intelligent Ball Screw Fault Diagnosis Using Deep Learning Based Domain Adaptation and Transfer Learning☆40Updated 2 years ago
- PyTorch implementation of CNN for remaining useful life prediction. Inspired by Babu, G. S., Zhao, P., & Li, X. L. (2016, April). Deep co…☆92Updated 4 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…☆87Updated last year
- ☆67Updated 4 years ago
- ☆64Updated 4 years ago
- This is an implementation of single source multiple target domain adaptation for fault diagnosis☆47Updated 3 years ago
- zggg1p / A-Domain-Adaption-Transfer-Learning-Bearing-Fault-Diagnosis-Model-Based-on-Wide-Convolution-Deep-NeuInspired by the idea of transfer learning, a combined approach is proposed. In the method, Deep Convolutional Neural Networks with Wide …☆129Updated 5 months ago
- ☆45Updated 3 years ago
- 基于迁移学习DANN模型,对不同工况轴承进行故障诊断☆43Updated 4 years ago
- This repository is for the transfer learning or domain adaptive with fault diagnosis.☆260Updated 2 years ago
- Remaining useful life prediction by Transformer-based Model☆51Updated 2 years ago
- Attention-based multihead model for optimized aircraft engine remaining useful life prediction☆56Updated last year
- ☆19Updated 3 years ago
- Few-shot Transfer Learning for Intelligent Fault Diagnosis of Machine☆127Updated 5 years ago
- Siamese network for bearing fault diagnosis☆88Updated 5 years ago