qingluM / CDAR
The source code for "Deep transfer learning for conditional shift in regression"
☆19Updated 3 years ago
Alternatives and similar repositories for CDAR:
Users that are interested in CDAR are comparing it to the libraries listed below
- A hybrid approach using physical information (PI) lightweight temporal convolutional neural networks (PI-TCN) for remaining useful life (…☆24Updated 2 years ago
- A deep transfer regression method based on seed replacement considering balanced domain adaptation☆13Updated last year
- Sensor Fault Diagnosis with Physics Informed Transfer Learning☆11Updated 3 years ago
- Python scripts for wind turbine main bearing fatigue life estimation with physics-informed neural networks☆95Updated 2 years ago
- ☆14Updated 8 months ago
- Code repository for review paper titled "Uncertainty Quantification in Machine Learning for Engineering Design and Health Prognostics: A …☆25Updated last year
- ☆61Updated 4 years ago
- The relevant codes and more comparison results of "Physics-informed machine learning for tool wear monitoring".☆13Updated 3 years ago
- WT-planetary-gearbox-datasets☆56Updated 9 months ago
- ☆20Updated last year
- A Framework for Remaining Useful Life Prediction Based on Self-Attention and Physics-Informed Neural Networks☆89Updated last year
- This is a github repository for Adversarial transfer learning with constrastive coding for time series regression problem.☆46Updated 3 years ago
- Source code for Semi-supervised learning for explainable few-shot battery lifetime prediction. Details can be found in README.☆15Updated 11 months ago
- code for DFAWnet☆31Updated last year
- Open dataset in the field of mechanical fault diagnosis under variable speed conditions, providing benchmark for algorithm performance ev…☆23Updated last year
- Transfer Learning on RUL estimation☆11Updated 2 years ago
- Bayesian Neural Networks to predict RUL on N-CMAPSS☆19Updated 2 years ago
- Chemical Process Fault Detection Using Long Short-Term Memory Recurrent Neural Network.☆33Updated 5 months ago
- Adaptive Soft Sensors☆17Updated 5 years ago
- ☆27Updated 3 years ago
- The code of Interpretable Convolutional Neural Network with Multilayer Wavelet for Noise-Robust Machinery Fault Diagnosis☆39Updated 2 years ago
- A data loader class for the FEMTO-ST Ball Bearing Dataset☆10Updated 4 years ago
- Github repo for the research paper titled "Integrating Adaptive Moving Window and Just-in-Time Learning Paradigms for Soft-Sensor Design"☆20Updated 5 years ago
- ☆18Updated last month
- Multi-mode Fault Diagnosis Datasets with TE process (MMFDD-TEP) can be used for the purpose of comparison studies or validation of algor…☆21Updated 10 months ago
- MSTDA☆10Updated 4 months ago
- Few-shot Transfer Learning for Intelligent Fault Diagnosis of Machine☆17Updated 4 years ago
- N-CMAPSS data preparation for Machine Learning and Deep Learning models. (Python source code for new CMAPSS dataset)☆81Updated last year
- Soft sensor modelling using multiple machine learning algorithms☆21Updated 5 years ago
- Official implementation of https://arxiv.org/abs/1911.06256. Bayesian and frequentist deep learning models for remaining useful life (RUL…☆20Updated 5 years ago