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Updated: Sep 10, 2025

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator
06:45

Design and Application of a Fault Detection Method Based on Adaptive Filters and Rotational Speed Estimation for an Electro-Hydrostatic Actuator

Published on: October 28, 2022

1.8K

振動,電流,トルク,RPMのデータセットは,ランダム化された速度と負荷の変動下で,工業用電気モーターの複数の故障条件に対応しています

Wonho Jung1, Junho Kim1, Kangmin Jang1

  • 1Center for Noise and Vibration Control Plus, Department of Mechanical Engineering, Korea Advanced Institute of Science and Technology, 291, Daehak-ro, Yuseong-gu, Daejeon 34141, South Korea.

Data in brief
|August 21, 2025
PubMed
まとめ

この研究は,産業用ACモーターとHVACユニットの故障診断のための機械学習モデルを訓練するための,広範囲で多様なデータセットを紹介しています. 複数の故障と重度の条件を備えており, 安定した予期的なメンテナンスを可能にする.

キーワード:
ACモーター状態モニタリングHVAC について負荷の変動変数周波数駆動

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Design, Instrumentation and Usage Protocols for Distributed In Situ Thermal Hot Spots Monitoring in Electric Coils using FBG Sensor Multiplexing10:52

Design, Instrumentation and Usage Protocols for Distributed In Situ Thermal Hot Spots Monitoring in Electric Coils using FBG Sensor Multiplexing

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