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:
- 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
- Sensor Fault Diagnosis with Physics Informed Transfer Learning☆12Updated 3 years ago
- Code repository for review paper titled "Uncertainty Quantification in Machine Learning for Engineering Design and Health Prognostics: A …☆27Updated last year
- Companion repository for the paper "Improving Semi-Supervised Learning for Remaining Useful Lifetime Estimation Through Self-Supervision"…☆26Updated 3 years ago
- ☆15Updated 5 years ago
- TE data diagnosis using pytorch☆20Updated 6 years ago
- Multiclass bearing fault classification using features learned by a deep neural network.☆34Updated 3 years ago
- A deep transfer regression method based on seed replacement considering balanced domain adaptation☆16Updated 2 years ago
- This repository holds the results of a project on Remaining Useful Lifetime estimation of a turbofan engine for a course of Delft Univers…☆12Updated 7 years ago
- remaining useful life, residual useful life, remaining life estimation, survival analysis, degradation models, run-to-failure models, con…☆27Updated 4 years ago
- Early access articles, Journals, and Conferences☆26Updated 4 years ago
- ☆12Updated 3 years ago
- ☆22Updated 6 years ago
- ☆22Updated 3 years ago
- Tool wear monitoring plays an important role in improving product quality and machining efficiency of high-speed milling. As a typical da…☆8Updated 3 years ago
- A hybrid approach using physical information (PI) lightweight temporal convolutional neural networks (PI-TCN) for remaining useful life (…☆30Updated 2 years ago
- Baseline study on the development of predictive maintenance techniques using open data. Two problems are discussed: classifying a vibrati…☆19Updated 4 years ago
- Bayesian Neural Networks to predict RUL on N-CMAPSS☆19Updated 2 years ago
- Chemical Process Fault Detection Using Long Short-Term Memory Recurrent Neural Network.☆33Updated 10 months ago
- Adaptive Soft Sensors☆17Updated 5 years ago
- Unified index for unsupervised fault detection in a Tennessee Eastman Process☆13Updated 5 years ago
- Soft sensor modelling using multiple machine learning algorithms☆23Updated 5 years ago
- ☆22Updated 3 years ago
- Multi-Objective Optimization of ELM for RUL Prediction☆14Updated 3 years ago
- Pytorch Implementation of LSTM-SAE(Long Short Term Memory - Stacked AutoEncoder)☆24Updated 8 months ago
- Code for thesis "Graph Dynamic Autoencoder for Fault Detection"☆18Updated 3 years ago
- Fault Diagnosis of Tennessee Eastman Chemical process using Neural Networks☆40Updated 6 years ago
- Interpretable Fault Diagnosis of Rolling Element Bearings with Temporal Logic Neural Network☆13Updated 3 years ago
- Code for paper "A method for detecting causal relationships between industrial alarm variables using Transfer entropy and K2-Algorithm"☆16Updated 2 years ago