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mcsa

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端到端預測性維護原型:以真實 PHM FMCRD 伺服馬達退化資料為主線(健康分類 macro-F1 0.819、退化值回歸 R² 0.944),另含 A/B/B+/C 四條對照軌、LLM 維護助理與 RAG 知識庫。具完整 MLOps 閉環:串流監控→告警→漂移偵測(退化≠漂移)→自動重訓→驗證閘門→模型版本 registry,run_drift_demo.py 一鍵可重現。Next.js Command Center 前端 + FastAPI 後端。

  • Updated Jul 19, 2026
  • Python

Motor Current Signature Analysis that knows when to refuse. Detect broken rotor bars, stator faults and eccentricity from 3-phase current - and get told when your data can't support the answer.

  • Updated Aug 25, 2026
  • Python

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