End-to-end predictive maintenance pipeline using WGAN-GP to fix class imbalance, CWT/STFT for feature extraction, and lightweight CNNs with INT8 ONNX for fast edge inference, plus real-time monitoring and web UI.
Ultra-fast, customizable CWRU dataset pipeline optimized for Deep Learning, Domain Adaptation, and parallel digital signal processing.
Input representation analysis for SC-MambaFew-based few-shot bearing fault diagnosis.
工业振动信号跨工况故障诊断全链路工具库 · CWRU 轴承 · 无监督特征预对齐 · CPU 65s 跑完全部实验
Titreşim + motor akımı (MCSA) ile kestirimci bakım, sızıntı testli Random Forest, yıldan dakikaya inen panel
End-to-end bearing fault detection pipeline on the CWRU dataset — Isolation Forest anomaly detection, LightGBM fault classification (96% F1), FastAPI service, Gemini LLM inspection reports, and a real-time Streamlit dashboard.
Machine Learning-based Bearing Fault Diagnosis using CWRU Vibration Dataset (Random Forest & XGBoost)
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