Effective Fault Diagnosis Based on Wavelet and Convolutional Attention Neural Network for Induction Motors
☆24Oct 29, 2022Updated 3 years ago
Alternatives and similar repositories for Convolutional-Attention-Neural-Network-for-Induction-Motors
Users that are interested in Convolutional-Attention-Neural-Network-for-Induction-Motors are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- TCN-LSTM Motor Vibration Fault Diagnosis Model☆41Aug 8, 2024Updated last year
- MLFNet: Multi-level Fusion Network based on multi-source information for Mechanical Fault Diagnosis under Limited and Imbalanced Datasets☆20Feb 29, 2024Updated 2 years ago
- Few-shot Metric Adversarial Adaptation for Cross-machine Fault Diagnosis☆10Apr 7, 2025Updated last year
- A Dual-View Network For Imbalanced Fault Diagnosis of Rotating Machinery☆11Aug 29, 2023Updated 2 years ago
- Fault Diagnosis of Interturn short circuit of Permanent Magnet Synchronous Motor based on Depth Learning☆20Sep 13, 2018Updated 7 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Code for the paper "A Novel Interpretable Model via Algorithm Unrolling for Intelligent Fault Diagnosis of Machinery"☆13Dec 14, 2024Updated last year
- 🧠 A model for early detection of multiple faults in induction motors based on the use of PCA and multilabel decision-trees☆34Jun 2, 2021Updated 4 years ago
- An Adaptive Multi-Channel Attention Method for Fault Diagnosis☆22Dec 27, 2023Updated 2 years ago
- CEEMDAN-VMD-TCN-GRU&RF model☆15May 18, 2024Updated 2 years ago
- ☆10Jul 13, 2019Updated 6 years ago
- This repository contains the implementation of the model for bearing fault diagnosis，also includes five comparison models for performance…☆25Mar 7, 2025Updated last year
- ☆26May 6, 2025Updated last year
- Using Bayesian optimization to optimaze the network of CNN,which is used in fault diagnosis☆16May 15, 2022Updated 4 years ago
- This project attempts to identify nine different faults and the healthy condition based on vibrational dataset of bearings. For this purp…☆13Aug 31, 2022Updated 3 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- This study proposes a high-precision multisensor feature fusion fault diagnosis method. The method is based on the lightweight spatial en…☆21Dec 18, 2024Updated last year
- Induction motor parameter estimation tool☆23Dec 2, 2017Updated 8 years ago
- The repository of "DeepFD: Automated Fault Diagnosis and Localization for Deep Learning Programs"☆18Oct 12, 2022Updated 3 years ago
- pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行☆16Feb 23, 2019Updated 7 years ago
- 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)☆38Jan 30, 2026Updated 3 months ago
- Physical-knowledge-Guided and Explainable CNNs for Gear Fault Severity Level Diagnosis☆21Feb 6, 2026Updated 3 months ago
- Pytorch implementation of Superpoint https://arxiv.org/abs/1712.07629☆10Mar 15, 2021Updated 5 years ago
- Multimodal biometric signal feature extraction☆19Dec 4, 2022Updated 3 years ago
- An official code for paper: TFPred: Learning discriminative representations from unlabeled data for few-label rotating machinery fault di…☆74Jul 28, 2024Updated last year
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Deep discriminative transfer learning network for cross-machine fault diagnosis☆124Dec 14, 2024Updated last year
- A pytorch implementation of the AAAI2021 paper GraCapsNet: Interpretable Graph Capsule Networks for Object Recognition☆10Oct 2, 2022Updated 3 years ago
- Working in the field of predictive modelling to detect and classify various types of faults in induction motors by deploying various ML a…☆10Feb 13, 2022Updated 4 years ago
- The PyTorch version for Semi-supervised meta-learning networks with squeeze-and-excitation attention for few-shot fault diagnosis.☆63Dec 1, 2021Updated 4 years ago
- Source codes for the paper "Fast Sparsity-Assisted Signal Decomposition with Non-Convex Enhancement for Bearing Fault Diagnosis"☆44Aug 15, 2021Updated 4 years ago
- Importance-aware Subgraph Convolutional Networks Based on Multi-source Information Fusion for Cross-domain Mechanical Fault Diagnosis☆53Feb 26, 2025Updated last year
- DyEdgeGAT: Dynamic Edge via Graph Attention for Early Fault Detection in IIoT Systems☆20Mar 7, 2026Updated 2 months ago
- Variance discrepancy representation☆17May 25, 2024Updated 2 years ago
- MSIFT: A Novel End-to-End Mechanical Fault Diagnosis Framework under Limited & Imbalanced Data Using Multi-Source Information Fusion☆72Feb 26, 2025Updated last year
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- The repository of the paper 'AWD-Net: Adaptive Wavelet Decomposition Network for Rotating Machinery Fault Diagnosis Under Noisy Environme…☆20Nov 24, 2023Updated 2 years ago
- Physics-informed Interpretable Wavelet Weight Initialization and Balanced Dynamic Adaptive Threshold for Intelligent Fault Diagnosis of R…☆106Apr 24, 2025Updated last year
- 本赛题要求选手基于历史光伏发电数据、天气数据、光伏设备空间相对位置等信息，通过建立适当的模型，对未来一段时间内的光伏发电出力进行预测。A榜使用外部数据得分0.88501103804 排名32，未使用外部数据得分0.88042407737 ；B榜得分0.90467829011…☆33Apr 9, 2024Updated 2 years ago
- A fault diagnosis method for rotating machinery based on CNN with mixed information☆35Oct 19, 2023Updated 2 years ago
- Import a Motor-CAD Thermal Model into Simulink and Simscape☆16Jul 22, 2025Updated 10 months ago
- Codes of paper "A Novel Framework Based on Adaptive Multi-Task Learning for Bearing Fault Diagnosis".☆25Apr 28, 2023Updated 3 years ago
- An LPTN informed LSTM for real-time multi-temperature estimation in PMSMs☆15Jun 5, 2024Updated last year