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Updated: Jan 29, 2026

Constructing and Visualizing Models using Mime-based Machine-learning Framework
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SHAP-LLM統合説明フレームワークに基づくPI-Dual-STGCN故障診断モデル

Zheng Zhao1,2, Shuxia Ye1,2, Liang Qi1,2

  • 1School of Automation, Jiangsu University of Science and Technology, Zhenjiang 212100, China.

Sensors (Basel, Switzerland)
|January 28, 2026
PubMed
まとめ

本研究では、透明な産業用故障診断のためのSHAP-LLMフレームワークを備えたPI-Dual-STGCNモデルを紹介する。この新しいアプローチは99.22%の精度を達成し、説明可能なAIと検索拡張生成を使用して解釈可能性を向上させる。

キーワード:
LLMSHAP説明可能性説明可能なAI故障診断

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