Multi-sensor data collection gathered to expand research on anomaly detection, fault diagnosis, and predictive maintenance, mainly using non-invasive methods such as thermal observation or vibration measurement.
☆44Aug 7, 2025Updated 7 months ago
Alternatives and similar repositories for motor-fault-diagnosis
Users that are interested in motor-fault-diagnosis are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- MLFNet: Multi-level Fusion Network based on multi-source information for Mechanical Fault Diagnosis under Limited and Imbalanced Datasets☆18Feb 29, 2024Updated 2 years ago
- Importance-aware Subgraph Convolutional Networks Based on Multi-source Information Fusion for Cross-domain Mechanical Fault Diagnosis☆52Feb 26, 2025Updated last year
- code for TII paper "Intelligent Mechanical Fault Diagnosis Using Multi-Sensor Fusion and Convolution Neural Network"☆40Sep 7, 2022Updated 3 years ago
- A Rolling Bearing Fault Diagnosis Method Using Multi-Sensor Data and Periodic Sampling （pytorch)☆47Oct 31, 2022Updated 3 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)☆37Jan 30, 2026Updated 2 months ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting with the flexibility to host WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Cloudways by DigitalOcean.
- MSIFT: A Novel End-to-End Mechanical Fault Diagnosis Framework under Limited & Imbalanced Data Using Multi-Source Information Fusion☆70Feb 26, 2025Updated last year
- Code sharing of fault diagnosis papers.☆60Dec 30, 2023Updated 2 years ago
- 🧠 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 open-source mechanical failure dataset is available, comprising 30+ categories including bearings, gears, pumps, and others.（30余个开源故障…☆118Jun 24, 2025Updated 9 months ago
- Zero-shot fault diagnosis on the Tennessee–Eastman process by attribute fusion transfer. Paper: Attribute fusion transfer for zero-shot f…☆34Oct 12, 2023Updated 2 years ago
- The Gearbox Fault Diagnosis dataset consists of vibration data recorded using SpectraQuest’s Gearbox Fault Diagnostics Simulator. The dat…☆41Dec 1, 2025Updated 3 months ago
- 依据发电机电流预测发电机故障以及故障时间☆15Nov 29, 2019Updated 6 years ago
- This is a reposotory that includes paper、code and datasets about domain generalization-based fault diagnosis and prognosis. (基于领域泛化的故障诊断和…☆398Jun 28, 2025Updated 9 months ago
- CNN and LSTM have been trained on CWRU Bearing Dataset and results tested on Simulink Data☆16Oct 5, 2024Updated last year
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting with the flexibility to host WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Cloudways by DigitalOcean.
- 基于机器学习的机械故障诊断☆18Feb 27, 2024Updated 2 years ago
- The source code (Pytorch version) of paper "Multi-modality augmented Prototypical Network for Fault Diagnosis"☆11Aug 26, 2024Updated last year
- ☆22Nov 23, 2022Updated 3 years ago
- ☆15Aug 9, 2023Updated 2 years ago
- Effective Fault Diagnosis Based on Wavelet and Convolutional Attention Neural Network for Induction Motors☆24Oct 29, 2022Updated 3 years ago
- Gradient Boosting Models on Real-Time Sensor Data for AI-Enhanced Vehicle Predictive Maintenance. By using a web-based interface to forec…☆19Nov 17, 2024Updated last year
- This is a induction motor faults detection project implemented with Tensorflow. We use Stacking Ensembles method (with Random Forest, Sup…☆28May 8, 2022Updated 3 years ago
- The open-source code of "CS-SHAP: Extending SHAP to Cyclic-Spectral Domain for Better Interpretability of Intelligent Fault Diagnosis".☆20Jul 12, 2025Updated 8 months ago
- Improving on NASA's work with induction motor bearing fault detection using RNN-powered smart sensors.☆31Aug 26, 2019Updated 6 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- 一种轻量化故障诊断框架——LiConvFormer☆155Dec 24, 2024Updated last year
- Fault Diagnosis of Interturn short circuit of Permanent Magnet Synchronous Motor based on Depth Learning☆20Sep 13, 2018Updated 7 years ago
- A benchmark fault diagnosis dataset comprises vibration data collected from a gearbox under variable working conditions with intentionall…☆88Nov 26, 2025Updated 4 months ago
- A Dual-View Style Mixing Network for Unsupervised Cross-Domain Fault Diagnosis With Imbalanced Data☆25Mar 18, 2025Updated last year
- The intelligent fault diagnosis of HNU IDG☆125Nov 9, 2022Updated 3 years ago
- A few shot learning repository for bearing fault diagnosis.☆108Aug 3, 2023Updated 2 years ago
- [AEI 2024] Imbalanced domain generalization via Semantic-Discriminative augmentation for intelligent fault diagnosis☆29Jul 10, 2024Updated last year
- Fault Diagnosis Employing Transfer Learning Techniques: Domain Adaptation and Domain Generalization☆562Oct 10, 2024Updated last year
- 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
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- Graph Convolutional Network for RUL prediction with multi-sensor signals☆20Feb 12, 2023Updated 3 years ago
- TCN-LSTM Motor Vibration Fault Diagnosis Model☆40Aug 8, 2024Updated last year
- Machinery data, made easy. Easily download and prepare common industrial datasets.☆23Feb 13, 2024Updated 2 years ago
- [MSSP] Dual Disentanglement Domain Generalization Method for Rotating Machinery Fault Diagnosis☆27Jul 6, 2025Updated 8 months ago
- Chiller Fault Diagnosis based on VAE Enabled Generative Adversarial Networks☆46Jul 22, 2020Updated 5 years ago
- Abdulhamid97Mousa / Bearing-Fault-Diagnosis-Method-Based-on-Spectrum-Map-Information-Fusion-and-CNNsReproduce Published Article "Bearing Fault Diagnosis Method Based on Spectrum Map Information Fusion and Convolutional Neural Network""☆25Nov 20, 2022Updated 3 years ago
- Python codes “Jupyter notebooks” for the paper entitled "A Hybrid Method for Condition Monitoring and Fault Diagnosis of Rolling Bearings…☆96May 16, 2024Updated last year