pimlphm / Physics-informed-machine-learning-based-on-TCNLinks
A hybrid approach using physical information (PI) lightweight temporal convolutional neural networks (PI-TCN) for remaining useful life (RUL) prediction of bearings under stiffness degradation. It consists of three PI hybrid models: a) PI feature model (PIFM) - constructs physical information health indicators (PIHI) to increase the feature spac…
☆27Updated 3 years ago
Alternatives and similar repositories for Physics-informed-machine-learning-based-on-TCN
Users that are interested in Physics-informed-machine-learning-based-on-TCN are comparing it to the libraries listed below
Sorting:
- Sensor Fault Diagnosis with Physics Informed Transfer Learning☆13Updated 3 years ago
- A Framework for Remaining Useful Life Prediction Based on Self-Attention and Physics-Informed Neural Networks☆114Updated last year
- ☆22Updated 2 years ago
- code for TII paper "Intelligent Mechanical Fault Diagnosis Using Multi-Sensor Fusion and Convolution Neural Network"☆38Updated 3 years ago
- ☆27Updated last year
- A novel approach for Remaining Useful Life (RUL) prediction, combining meta-learning, knowledge discovery, and Physics-Informed Neural Ne…☆12Updated 5 months ago
- This project aims to propose a TCN-Based Bayesian neural nework that is used for remaining useful life prediction.☆22Updated 4 years ago
- A Digital Twin prototype for aircraft engine health management in order to identify possible faults and to predict its remaining useful l…☆12Updated 7 months ago
- Implementation of a regression capsule network for use in li-ion battery RUL☆10Updated 2 years ago
- ☆46Updated 2 years ago
- ☆64Updated 4 years ago
- Bayesian Neural Networks to predict RUL on N-CMAPSS☆21Updated 3 years ago
- This project is for paper " PFFN: A Parallel Feature Fusion Network for Remaining Useful Life Early Prediction of Lithium-ion Battery …☆10Updated last year
- The source code of paper: Trend attention fully convolutional network for remaining useful life estimation in the turbofan engine PHM of …☆58Updated 2 years ago
- An AI-based system utilizing Graph Neural Networks (GNNs) for real-time anomaly detection and fault diagnosis in spacecraft engines. It c…☆14Updated 11 months ago
- Deep learning models (RNN & LSTM & WaveNet) for predicting the remaining useful life of rolling element bearings using time series health…☆19Updated 7 months ago
- Transformer implementation with PyTorch for remaining useful life prediction on turbofan engine with NASA CMAPSS data set. Inspired by Mo…☆24Updated 2 years ago
- ☆12Updated last year
- The relevant codes and more comparison results of "Physics-informed deep learning for tool wear monitoring".☆16Updated 3 years ago
- Comparison of various transfer learning models with the hybridization of an FCNN for battery RUL prediction☆46Updated 2 years ago
- Transfer Learning on RUL estimation☆14Updated 3 years ago
- Source codes for paper "A weighted multi-scale dictionary learning model and its applications on bearing fault diagnosis"☆43Updated 5 years ago
- Source codes for the paper "Fast Sparsity-Assisted Signal Decomposition with Non-Convex Enhancement for Bearing Fault Diagnosis"☆44Updated 4 years ago
- ☆22Updated 2 years ago
- ☆21Updated last year