Zirui24 / lptn_informed_LSTMLinks
An LPTN informed LSTM for real-time multi-temperature estimation in PMSMs
☆13Updated last year
Alternatives and similar repositories for lptn_informed_LSTM
Users that are interested in lptn_informed_LSTM are comparing it to the libraries listed below
Sorting:
- 3 DoFs dynamic model of deep groove ball bearing on x, y and z rotation with outer ring fault.☆19Updated 8 months ago
- A Framework for Remaining Useful Life Prediction Based on Self-Attention and Physics-Informed Neural Networks☆134Updated 2 years ago
- Deep learning models (RNN & LSTM & WaveNet) for predicting the remaining useful life of rolling element bearings using time series health…☆25Updated 11 months ago
- remaining Useful Life (RUL) Prediction of Mechanical Bearings using Continuous Wavelet Transform (CWT), Convolution Neural Network (CNN),…☆197Updated last year
- Python codes “Jupyter notebooks” for the paper entitled "A Hybrid Method for Condition Monitoring and Fault Diagnosis of Rolling Bearings…☆94Updated last year
- The relevant codes and more comparison results of "Physics-informed deep learning for tool wear monitoring".☆16Updated 4 years ago
- A transfer learning fault diagnosis repository covering popular algorithms☆335Updated last year
- Contains code to compare several health index construction methods using run-to-failure bearing dataset☆28Updated 3 years ago
- 机械故障诊断公开数据集☆72Updated 2 years ago
- Bearing fault diagnosis model based on MCNN-LSTM☆407Updated 2 years ago
- 智能故障诊断和寿命预测期刊(Journals of Intelligent Fault Diagnosis and Remaining Useful Life)☆431Updated 3 weeks ago
- 基于注意力机制的少量样本故障诊断 pytorch☆274Updated 7 months ago
- ☆13Updated 5 months ago
- 分享的所有数据集均为开源的PHM(Prognostics and Health Management)数据,涵盖故障诊断、健康评估和寿命预测等领域。☆251Updated last year
- An open-source mechanical failure dataset is available, comprising 30+ categories including bearings, gears, pumps, and others.(30余个开源故障…☆102Updated 7 months ago
- 基于深度学习的机械设备故障诊断方法研究☆49Updated 3 years ago
- : Faulty and healthy gear box Data sets need to be analyzed in detail. Here, we created this dataset for those who do research in wind tu…☆63Updated 7 years ago
- A hybrid approach using physical information (PI) lightweight temporal convolutional neural networks (PI-TCN) for remaining useful life (…☆29Updated 3 years ago
- 一种数字孪生辅助的高度不平衡故障诊断新框架☆109Updated last year
- ☆113Updated 3 years ago
- 这是一个首层卷积为宽卷积的深度神经网络Deep Convolutional Neural Networks with Wide First-layer Kernels (WDCNN)的实现,该模型具有优越的抗噪能力,可用于轴承的智能故障诊断。☆57Updated 2 years ago
- The bearing fault data set collected by Jiangnan University.☆34Updated 2 years ago
- PyTorch implementation of remaining useful life prediction with long-short term memories (LSTM), performing on NASA C-MAPSS data sets. Pa…☆174Updated 4 years ago
- A python library to create vibration signal for bearing defects.☆29Updated 3 years ago
- This is official code for paper "Few-Shot Bearing Fault Diagnosis via Ensembling Transformer-based Model with Mahalanobis Distance Metric…☆11Updated last year
- The intelligent fault diagnosis methods of HNU IDG☆73Updated 3 years ago
- Source codes for paper "A weighted multi-scale dictionary learning model and its applications on bearing fault diagnosis"☆44Updated 5 years ago
- Source codes for the paper "Fast Sparsity-Assisted Signal Decomposition with Non-Convex Enhancement for Bearing Fault Diagnosis"☆44Updated 4 years ago
- RUL-Mamba: Mamba-Based Remaining Useful Life Prediction for Lithium-Ion Batteries☆28Updated 10 months ago
- Master Thesis: Intelligent Ball Screw Fault Diagnosis Using Deep Learning Based Domain Adaptation and Transfer Learning☆45Updated 3 years ago