gengxiangc / BSLDLinks
☆10Updated 3 years ago
Alternatives and similar repositories for BSLD
Users that are interested in BSLD are comparing it to the libraries listed below
Sorting:
- A hybrid approach using physical information (PI) lightweight temporal convolutional neural networks (PI-TCN) for remaining useful life (…☆29Updated 3 years ago
- Sensor Fault Diagnosis with Physics Informed Transfer Learning☆13Updated 3 years ago
- A deep transfer regression method based on seed replacement considering balanced domain adaptation☆16Updated 2 years ago
- MATLAB toolbox for simulating the lateral dynamics of rotating machines.☆51Updated 2 years ago
- Python scripts for wind turbine main bearing fatigue life estimation with physics-informed neural networks☆117Updated 3 years ago
- ☆92Updated 5 years ago
- This repository is a collection of codes generated for optimizing the echo state network for RUL prediction of airplane engines☆10Updated 4 years ago
- TE data diagnosis using pytorch☆20Updated 6 years ago
- Deep Autoencoder with Extreme Learning Machines☆14Updated 4 years ago
- The source code for "Deep transfer learning for conditional shift in regression"☆19Updated 4 years ago
- Bayesian Neural Networks to predict RUL on N-CMAPSS☆21Updated 3 years ago
- MATLAB code for Relevance Vector Machine using SB2_Release_200.☆56Updated 3 years ago
- A pytorch implementation of the paper "Physics-guided Neural Networks (PGNN): An Application in Lake Temperature Modeling"☆15Updated 6 years ago
- Fault Diagnosis of Tennessee Eastman Chemical process using Neural Networks☆43Updated 6 years ago
- Code to reproduce the results from the paper "Continual Learning of Neural Networks for Quality Prediction in Production using Memory Awa…☆15Updated 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
- An integrated software package for Industrial process monitoring and fault detection☆14Updated 7 years ago
- A novel approach for Remaining Useful Life (RUL) prediction, combining meta-learning, knowledge discovery, and Physics-Informed Neural Ne…☆18Updated 8 months ago
- Source codes for paper "Enhanced sparse period-group lasso for bearing fault diagnosis"☆18Updated 5 years ago
- TensorFlow implementation of a CNN based mechanical science paper☆47Updated 7 years ago
- Multiclass bearing fault classification using features learned by a deep neural network.☆36Updated 3 years ago
- ☆12Updated 5 years ago
- Data Driven Fault Diagnosis☆16Updated 7 years ago
- Pytorch Implementation of LSTM-SAE(Long Short Term Memory - Stacked AutoEncoder)☆26Updated last year
- A simple program to implement the Symplectic geometry mode decomposition (SGMD), including python and matlab versions.☆27Updated 2 years ago
- Data set for Rolling Element Bearing Fault Diagnosis example in Predictive Maintenance Toolbox☆40Updated 3 years ago
- ☆20Updated 6 years ago
- Data set for Wind Turbine High-Speed Bearing Prognosis example in Predictive Maintenance Toolbox☆54Updated 4 years ago
- It's a model to simulate the arc of high impedance fault in the distribution power system. This model has been published in M. Wei, W. Li…☆17Updated 5 years ago
- Variable Time Reconstruction based modeling framework for soft sensor development☆13Updated 5 years ago