mahindrautela / DINS-SHMLinks
Deep Learning for Structural Health monitoring
☆19Updated 11 months ago
Alternatives and similar repositories for DINS-SHM
Users that are interested in DINS-SHM are comparing it to the libraries listed below
Sorting:
- Identification of Bouc–Wen type models using the transitional Markov chain Monte Carlo method☆13Updated 6 months ago
- ☆10Updated last year
- Simulation of a SDOF Bouc-Wen-Baber-Noori hysteretic system☆13Updated 4 years ago
- Codes of our journal paper: Indirect identification of bridge frequencies using a four-wheel vehicle: Theory and three-dimensional simula…☆18Updated last week
- Python scripts for wind turbine main bearing fatigue life estimation with physics-informed neural networks☆114Updated 3 years ago
- Recursive long short-term memory network for predicting nonlinear structural seismic response☆19Updated 3 years ago
- Physics-guided Convolutional Neural Network☆68Updated 4 years ago
- A novel GNN-LSTM-based fusion model which could accurately predict the seismic responses of multiple structures with different geometry.☆80Updated 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
- MATLAB toolbox for simulating the lateral dynamics of rotating machines.☆45Updated last year
- Deep Transfer Learning and Time-Frequency Characteristics-Based Identification Method for Structural Seismic Response☆31Updated 4 years ago
- ☆11Updated last year
- Customized FERUM (Finite Element Reliability Using Matlab)☆13Updated 3 years ago
- BILSTM，GRU，LSTM☆16Updated last year
- Deep LSTM for highly nonlinear system modeling☆56Updated 6 years ago
- Train-Track-Bridge interaction simulation tool for Matlab☆10Updated last year
- A hybrid approach using physical information (PI) lightweight temporal convolutional neural networks (PI-TCN) for remaining useful life (…☆28Updated 3 years ago
- This GitHub package provides example MATLAB code for finite element model updating. The code offers selection of different updating formu…☆40Updated 3 months ago
- We introduce an innovative physics-informed LSTM framework for metamodeling of nonlinear structural systems with scarce data.☆92Updated 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 4 years ago
- Reduced-order Variational Mode Decomposition (RVMD)☆28Updated 6 months ago
- This repository contains code for predicting multiaxial fatigue life of metals using deep learning models (CNN, LSTM, and GRU) combined w…☆19Updated last year
- The code for the paper Temperature field inversion of heat-source systems via physics-informed neural networks☆38Updated 3 years ago
- Earthquake Responses prediction using Deep learning and Database☆38Updated 5 months ago
- Predictive maintenance algorithm developed using digital twin of hydraulic pump modeled in Simscape☆36Updated 8 months ago
- Physics-guided Deep Markov Models☆12Updated 3 years ago
- A Framework for Remaining Useful Life Prediction Based on Self-Attention and Physics-Informed Neural Networks☆111Updated last year
- A pytorch implementation of the paper "Physics-guided Neural Networks (PGNN): An Application in Lake Temperature Modeling"☆15Updated 6 years ago
- The relevant codes and more comparison results of "Physics-informed deep learning for tool wear monitoring".☆16Updated 3 years ago
- ☆55Updated 5 months ago