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Updated: Feb 14, 2026

Making Sense of Listening: The IMAP Test Battery
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騒音を通して聴く:スライディングウィンドウRMSとCNNを使用して,炭鉱のドリルパイプの堅固な超音波クラック検出

Xianghui Meng1, Hua Luo1, Fengli Lei1

  • 1State Key Laboratory of Coal Mine Disaster Prevention and Control, CCTEG Chongqing Research Institute, Chongqing 400039, China.

Sensors (Basel, Switzerland)
|February 13, 2026
PubMed
まとめ

この研究では,スライディングウィンドウの根の平均平方 (SWRMS) インデックスとコンボリューションニューラルネットワーク (CNN) を使用した石炭鉱山のドリルパイプのための新しい超音波クラック検出方法が紹介されています. このアプローチは,騒々しい環境でもクラークを正確に識別し,機器の安全性を高めます.

キーワード:
バルクウェーブ (Bulk Wave) とはコンボリューションニューラルネットワーク掘削パイプを掘削する.超音波クラック検知装置

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