mahindrautela / DINS-SHM
Deep Learning for Structural Health monitoring
☆14Updated 6 months ago
Alternatives and similar repositories for DINS-SHM:
Users that are interested in DINS-SHM are comparing it to the libraries listed below
- ☆9Updated 11 months ago
- Identification of Bouc–Wen type models using the transitional Markov chain Monte Carlo method☆11Updated last month
- Physics-guided Convolutional Neural Network☆67Updated 4 years ago
- Codes of our journal paper: Indirect identification of bridge frequencies using a four-wheel vehicle: Theory and three-dimensional simula…☆15Updated 3 months ago
- Recursive long short-term memory network for predicting nonlinear structural seismic response☆17Updated 3 years ago
- A novel GNN-LSTM-based fusion model which could accurately predict the seismic responses of multiple structures with different geometry.☆62Updated 11 months ago
- Python scripts for wind turbine main bearing fatigue life estimation with physics-informed neural networks☆103Updated 2 years ago
- BILSTM,GRU,LSTM☆16Updated 10 months ago
- Simulation of a SDOF Bouc-Wen-Baber-Noori hysteretic system☆12Updated 3 years ago
- A hybrid approach using physical information (PI) lightweight temporal convolutional neural networks (PI-TCN) for remaining useful life (…☆27Updated 2 years ago
- Deep Transfer Learning and Time-Frequency Characteristics-Based Identification Method for Structural Seismic Response☆30Updated 3 years ago
- MATLAB toolbox for simulating the lateral dynamics of rotating machines.☆41Updated last year
- This repository presents a series of analysis on the performance of Physics-Informed Neural Networks in vibrational systems. The limitati…☆12Updated 2 years ago
- Using deep learning techniques like 1D and 2D CNNs, LSTM to detect damage in a structure with hinges/joints after an earthquake.☆15Updated 3 years ago
- The relevant codes and more comparison results of "Physics-informed machine learning for tool wear monitoring".☆15Updated 3 years ago
- Deep LSTM for highly nonlinear system modeling☆54Updated 5 years ago
- Anudruti / Predictive-Failure-Analysis-of-Spindle-Motor-Cutting-Oil-Condition-Monitoring-of-Grinding-Machine-With the advent of Industry 4.0, manufacturing industries are competing to adopt intelligent machining systems into their processes to ge…☆9Updated 4 years ago
- ☆23Updated last year
- Masters Thesis: Hybrid Approach to planetary gearbox prognostics (University of Pretoria, South-Africa, CAIM)☆9Updated 4 years ago
- A pytorch implementation of the paper "Physics-guided Neural Networks (PGNN): An Application in Lake Temperature Modeling"☆15Updated 6 years ago
- Sensor Fault Diagnosis with Physics Informed Transfer Learning☆12Updated 3 years ago
- For data recovery of Structural Health Monitoring☆10Updated last year
- Train-Track-Bridge interaction simulation tool for Matlab☆9Updated last year
- A Framework for Remaining Useful Life Prediction Based on Self-Attention and Physics-Informed Neural Networks☆100Updated last year
- Fault prognosis using LSTM and CNN☆17Updated 2 years ago
- Ultra-short-term multi-step wind speed prediction for wind farms based on adaptive noise reduction technology and temporal convolutional …☆33Updated last year
- ☆44Updated last week
- Frequency Domain Decomposition (FDD)☆10Updated 4 years ago
- Reduced-order Variational Mode Decomposition (RVMD)☆26Updated last month
- Matlab simulation of a hydrodynamically lubricated slider bearing☆10Updated 6 years ago