tmdt-buw / continual-learning-mas-cloning-injection-moldingLinks
Code to reproduce the results from the paper "Continual Learning of Neural Networks for Quality Prediction in Production using Memory Aware Synapses and Weight Transfer" by Tercan et al., submitted to the Journal of Intelligent Manufacturing
☆14Updated 4 years ago
Alternatives and similar repositories for continual-learning-mas-cloning-injection-molding
Users that are interested in continual-learning-mas-cloning-injection-molding are comparing it to the libraries listed below
Sorting:
- Adaptive Soft Sensors☆19Updated 6 years ago
- Transfer Knowledge Learned from Multiple Domains for Time-series Data Prediction☆11Updated 7 years ago
- Code and supplementary material for ICPHM2020☆26Updated 5 years ago
- Code for paper "A method for detecting causal relationships between industrial alarm variables using Transfer entropy and K2-Algorithm"☆16Updated 3 years ago
- SSIM - A Deep Learning Approach for Recovering Missing Time Series Sensor Data☆39Updated 4 years ago
- Code repository for review paper titled "Uncertainty Quantification in Machine Learning for Engineering Design and Health Prognostics: A …☆28Updated 2 years ago
- 本科毕业设计 - 基于数据解析的化工生产过程诊断☆12Updated 3 years ago
- Code for thesis "Graph Dynamic Autoencoder for Fault Detection"☆18Updated 4 years ago
- A deep transfer regression method based on seed replacement considering balanced domain adaptation☆15Updated 2 years ago
- ☆15Updated 6 years ago
- The implementation of "Semantic-consistent Embedding".☆16Updated 3 years ago
- A Python Implementation of Kernel Extreme Learning Machine for Ordinal Regression☆25Updated 4 years ago
- Pytorch Implementation of LSTM-SAE(Long Short Term Memory - Stacked AutoEncoder)☆25Updated 10 months ago
- Comparing a transormer GAN and a LSTM GAN for augmenting timeseries datasets☆14Updated last year
- Official codes for "Addressing Information Asymmetry: Deep Temporal Causality Discovery for Mixed Time Series" (TPAMI 2025)☆12Updated last month
- Variable Time Reconstruction based modeling framework for soft sensor development☆13Updated 5 years ago
- My implementation of Symbolic Transfer Entropy (STE): a measure of asymmetric information flow between stochastic processes.☆10Updated 6 years ago
- Soft sensor modelling using multiple machine learning algorithms☆24Updated 6 years ago
- Multiclass bearing fault classification using features learned by a deep neural network.☆34Updated 3 years ago
- Unified index for unsupervised fault detection in a Tennessee Eastman Process☆13Updated 5 years ago
- ☆23Updated 4 years ago
- An semi-supervised extension based on VAE for Regression, demonstrate its performance on two soft sensor benchmark problems.☆23Updated 2 years ago
- Code for the paper "Multivariate Time Series Prediction of Complex Systems Based on Graph Neural Networks with Location Embedding Graph S…☆25Updated 2 years ago
- ☆10Updated 2 years ago
- Bayesian deep learning for remaining useful life estimation via Stein variational gradient descent☆24Updated last year
- ☆94Updated 4 years ago
- Interpretable Fault Diagnosis of Rolling Element Bearings with Temporal Logic Neural Network☆13Updated 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
- Sensor Fault Diagnosis with Physics Informed Transfer Learning☆13Updated 3 years ago
- A condition monitoring system for gas turbine, including refenrece value, anomaly detection, and fault diagnosis.☆34Updated 6 years ago