PML-UCF / pinn_wind_bearingLinks
Python scripts for wind turbine main bearing fatigue life estimation with physics-informed neural networks
☆109Updated 2 years ago
Alternatives and similar repositories for pinn_wind_bearing
Users that are interested in pinn_wind_bearing are comparing it to the libraries listed below
Sorting:
- MATLAB toolbox for simulating the lateral dynamics of rotating machines.☆45Updated last year
- A hybrid approach using physical information (PI) lightweight temporal convolutional neural networks (PI-TCN) for remaining useful life (…☆30Updated 2 years ago
- A condition monitoring system for gas turbine, including refenrece value, anomaly detection, and fault diagnosis.☆34Updated 6 years ago
- A Framework for Remaining Useful Life Prediction Based on Self-Attention and Physics-Informed Neural Networks☆110Updated last year
- The relevant codes and more comparison results of "Physics-informed machine learning for tool wear monitoring".☆16Updated 3 years ago
- Predictive maintenance algorithm developed using digital twin of hydraulic pump modeled in Simscape☆36Updated 6 months ago
- Sensor Fault Diagnosis with Physics Informed Transfer Learning☆13Updated 3 years ago
- A novel approach for Remaining Useful Life (RUL) prediction, combining meta-learning, knowledge discovery, and Physics-Informed Neural Ne…☆11Updated 2 months ago
- Deep Learning for Structural Health monitoring☆17Updated 9 months ago
- ☆16Updated 6 years ago
- Matlab simulation of a hydrodynamically lubricated slider bearing☆10Updated 6 years ago
- An AI-based system utilizing Graph Neural Networks (GNNs) for real-time anomaly detection and fault diagnosis in spacecraft engines. It c…☆11Updated 8 months ago
- Elastohydrodynamic Lubrication Point Contact Solver for MATLAB☆27Updated last year
- for wind turbine phm☆17Updated 7 years ago
- ☆26Updated last year
- given run to failure measurements of various sensors on a sample of similar jet engines, estimate the remaining useful life (RUL) of a ne…☆65Updated 5 years ago
- Masters Thesis: Hybrid Approach to planetary gearbox prognostics (University of Pretoria, South-Africa, CAIM)☆9Updated 4 years ago
- Identification of Bouc–Wen type models using the transitional Markov chain Monte Carlo method☆11Updated 4 months ago
- ☆64Updated 4 years ago
- Code used to generate the results of the paper: Nascimento et al. A framework for Li-ion battery prognosis based on hybrid Bayesian physi…☆58Updated last year
- The source code of paper: Trend attention fully convolutional network for remaining useful life estimation in the turbofan engine PHM of …☆57Updated 2 years ago
- Bayesian Neural Networks to predict RUL on N-CMAPSS☆19Updated 2 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…☆55Updated 7 years ago
- A Digital Twin prototype for aircraft engine health management in order to identify possible faults and to predict its remaining useful l…☆10Updated 5 months ago
- SCADA data pre-processing library for prognostics, health management and fault detection of wind turbines. Successor to https://github.co…☆81Updated 4 years ago
- Data set for Wind Turbine High-Speed Bearing Prognosis example in Predictive Maintenance Toolbox☆52Updated 3 years ago
- Simulation of a SDOF Bouc-Wen-Baber-Noori hysteretic system☆13Updated 3 years ago
- Physics-guided Convolutional Neural Network☆67Updated 4 years ago
- 3 DoFs dynamic model of deep groove ball bearing on x, y and z rotation with outer ring fault.☆13Updated 2 months ago
- AMrotor - A MATLAB Toolbox for the Simulation of Rotating Machinery☆21Updated last year