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Updated: Apr 30, 2026

Operation of the Collaborative Composite Manufacturing CCM System
10:09

Operation of the Collaborative Composite Manufacturing CCM System

Published on: October 1, 2019

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DTCWT-RCMFDEとLSSVMアルゴリズムを使用して誤差を診断する

Ahmed Taibi1, Nabil Ikhlef1, Lyes Aomar1

  • 1Electronics and Industrial Electrical Laboratory (L2EI), Univercity of Jijel, Jijel, Algeria.

Scientific reports
|September 1, 2025
PubMed
まとめ

この研究では,モーターの不整列を正確に検出するために,二重ツリー複合波紋変換と精製された複合マルチスケール変動分散エントロピー (DTCWT-RCMFDE) を最小正方形のサポートベクトルマシン (LSSVM) で使用する新しい方法が導入されています. DTCWT-RCMFDE-LSSVMモデルは98.33%の精度を達成し,回転する電気機械の診断性能を大幅に改善しました.

キーワード:
DTCWT について診断 機械の故障LSSVM についてパラレルと角度不整合の故障RCMFDE

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