dataforresearch / HMoTPLinks
Thin-walled parts 2023 dataset released from Shandong University
☆18Updated last year
Alternatives and similar repositories for HMoTP
Users that are interested in HMoTP are comparing it to the libraries listed below
Sorting:
- The relevant codes and more comparison results of "Physics-informed deep learning for tool wear monitoring".☆16Updated 4 years ago
- Real time tool wear monitoring method based on a TCN model for PHM-2010 Dataset.☆11Updated 3 years ago
- This work presents a multi-feature fusion neural network (MSFN) comprised of two inception layer-type multiple channel networks (MCN) for…☆19Updated 4 years ago
- A open source dataset about milling to monitoring tool wear status☆14Updated last year
- ☆18Updated 4 months ago
- 基于深度学习的机械故障诊断☆38Updated last year
- ☆87Updated 3 years ago
- code for TII paper "Intelligent Mechanical Fault Diagnosis Using Multi-Sensor Fusion and Convolution Neural Network"☆38Updated 3 years ago
- An AI-based system utilizing Graph Neural Networks (GNNs) for real-time anomaly detection and fault diagnosis in spacecraft engines. It c…☆16Updated last year
- This repository has open-sourced a dataset of motor failure, including vibration signals and audio signals.(实验室自采多模态电机故障数据，振动信号+声音信号)☆35Updated 3 months ago
- Sensor Fault Diagnosis with Physics Informed Transfer Learning☆13Updated 3 years ago
- Deep learning models (RNN & LSTM & WaveNet) for predicting the remaining useful life of rolling element bearings using time series health…☆24Updated 10 months ago
- 论文“时变转速下基于改进图注意力网络的轴承半监督故障诊断”源码☆29Updated 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☆10Updated last year
- 一种新的基于动态图注意力网络和标签传播策略的半监督故障诊断方法☆38Updated 2 years ago
- BG-CNN: A Hybrid Fault Diagnosis Method for Improved Fault Isolation. This repository presents the BG-CNN method, a novel approach that …☆11Updated last year
- A Digital Twin prototype for aircraft engine health management in order to identify possible faults and to predict its remaining useful l…☆13Updated 11 months ago
- ☆23Updated 4 years ago
- An ensemble bagged trees classification approach for monitoring of the engine conditions and fault diagnosis using Visual Dot Patterns of…☆18Updated 3 years ago
- Physics-informed Interpretable Wavelet Weight Initialization and Balanced Dynamic Adaptive Threshold for Intelligent Fault Diagnosis of R…☆96Updated 8 months ago
- Innovative bearing fault diagnosis using SST algorithm for time-frequency images. Accurately transform signals into efficient time-freque…☆22Updated 2 years ago
- WT-planetary-gearbox-datasets☆83Updated 3 months ago
- Source codes for the paper "Fast Sparsity-Assisted Signal Decomposition with Non-Convex Enhancement for Bearing Fault Diagnosis"☆44Updated 4 years ago
- AAAI 2025: BearLLM: A Prior Knowledge-Enhanced Bearing Health Management Framework with Unified Vibration Signal Representation☆87Updated 8 months ago
- ☆113Updated 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
- : 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…☆62Updated 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
- Interpretable Physics-informed Domain Adaptation Paradigm for Cross-machine Transfer Fault Diagnosis （故障诊断）☆42Updated last year
- MSGPT: LLM-based Semantic Prompt Framework under Multi-sensor Data for Mechanical Fault Diagnosis☆18Updated 9 months ago