The relevant codes and more comparison results of "Physics-informed deep learning for tool wear monitoring".
☆16Dec 21, 2021Updated 4 years ago
Alternatives and similar repositories for physics_guided
Users that are interested in physics_guided are comparing it to the libraries listed below
Sorting:
- Thin-walled parts 2023 dataset released from Shandong University☆18Jan 28, 2024Updated 2 years ago
- 此存储库中存放的是PHM2010铣刀磨损数据相关算法☆30Nov 30, 2024Updated last year
- Physics Informed Neural Network for Time Series Forecasting☆13Jun 1, 2023Updated 2 years ago
- Sensor Fault Diagnosis with Physics Informed Transfer Learning☆13Jan 26, 2022Updated 4 years ago
- Interpretable Physics-informed Domain Adaptation Paradigm for Cross-machine Transfer Fault Diagnosis （故障诊断）☆42May 13, 2024Updated last year
- Tidy multi-material machine tool wear dataset for prognostics and health monitoring.☆19Oct 11, 2023Updated 2 years ago
- A deep transfer regression method based on seed replacement considering balanced domain adaptation☆16Mar 28, 2023Updated 2 years ago
- ☆21Jul 13, 2022Updated 3 years ago
- Theory-guided physics-informed neural networks for boundary layer problems with singular perturbation☆21Nov 8, 2022Updated 3 years ago
- Physics-Informed Neural Networks Trained with Particle Swarm Optimization☆26Sep 20, 2022Updated 3 years ago
- ☆28Apr 24, 2021Updated 4 years ago
- A hybrid approach using physical information (PI) lightweight temporal convolutional neural networks (PI-TCN) for remaining useful life (…☆29Sep 13, 2022Updated 3 years ago
- 基于深度学习的风电机组机械故障智能识别方法研究☆13Apr 13, 2024Updated last year
- Matlab simulation of a hydrodynamically lubricated slider bearing☆11Jan 17, 2019Updated 7 years ago
- Maybe the 1st tool wear forecasting by DL☆36Feb 6, 2022Updated 4 years ago
- 用CGAN训练时频域特征生成特征样本，数据集非图片数据集，用到了dataset自定义的数据集。☆12Apr 30, 2022Updated 3 years ago
- Implementation of followinf estimation algorithms in python: Kalman Filter, Extended Kalman Filter, Unscented Kalman Filter, Cubature Kal…☆11Dec 2, 2023Updated 2 years ago
- 润滑数值计算方法，黄平，随书程序☆11Feb 4, 2020Updated 6 years ago
- Python scripts for physics-informed neural networks for corrosion-fatigue prognosis☆40Jul 20, 2022Updated 3 years ago
- The project focuses on prediction of RUL (Remaining Useful Life) of aircraft engine. The acitivity is carried out in PyTorch frameowrk us…☆11Dec 20, 2021Updated 4 years ago
- Novel algorithms to predict Remaining Useful Life (RUL) on NASA’s benchmark dataset, CMAPSS turbofan engine degradation simulation.☆11Nov 8, 2023Updated 2 years ago
- Multi-scale Signed Recurrence Plot Based Time Series Classification Using Inception Architectural Networks☆10Jul 11, 2023Updated 2 years ago
- 数控加工单元数字孪生☆12Jul 6, 2021Updated 4 years ago
- A comprehensive gear eccentricity dataset with multiple fault severity levels: Description, characteristics analysis, and fault diagnosis…☆12Feb 6, 2026Updated 3 weeks ago
- ☆19Aug 11, 2025Updated 6 months ago
- 本科毕业设计，液态金属性能预测和训练平台，用Django作为后端，Echarts呈现图表的可视化数据大屏☆13May 16, 2022Updated 3 years ago
- Self-optimizing nth order Savitzky-Golay filter☆12Aug 31, 2023Updated 2 years ago
- This is a project for mechanical fault detection. The reason why it is called cute little bird may be because the eyesight of birds is pa…☆14Feb 2, 2024Updated 2 years ago
- Physics Informed Neural Networks (PINNs) is a machine learning technique that incorporates physical laws and constraints into the neural …☆12Sep 27, 2024Updated last year
- EDA and Time Series Stream Clustering for London Smart Meter Dataset, using Autoencoder with Kmeans algorithm, DB Scan, and Hierarchical …☆12Jul 13, 2021Updated 4 years ago
- This project is for paper " PFFN: A Parallel Feature Fusion Network for Remaining Useful Life Early Prediction of Lithium-ion Battery …☆10Apr 17, 2024Updated last year
- KAF : Kolmogorov-Arnold Fourier Networks☆20Feb 19, 2025Updated last year
- 1) How to Prepare Time Series Data for CNNs and LSTMs?? 2) How to Develop CNNs for Time Series Forecasting?? 3) How to Develop LSTMs for …☆12May 12, 2024Updated last year
- A Digital Twin prototype for aircraft engine health management in order to identify possible faults and to predict its remaining useful l…☆13Feb 9, 2025Updated last year
- Learning Transferable Features with Deep Adaptation Networks☆12Jul 18, 2023Updated 2 years ago
- A open source dataset about milling to monitoring tool wear status☆14Sep 17, 2024Updated last year
- Implementation of a regression capsule network for use in li-ion battery RUL☆10Nov 17, 2022Updated 3 years ago
- IoT based Tool Wear Prediction, a project to collect and analyze vibration data in MATLAB and use the data to predict for tool wear.☆11Jun 21, 2020Updated 5 years ago
- The main code of our proposed multi-resolution interactive transformer☆11May 16, 2025Updated 9 months ago