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Updated: Jul 1, 2025

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一种使用多目标超图粒子群集优化的传感器放置方法,以提高结构健康监测系统的有效性

Muhammad Waqas1, Latif Jan2, Mohammad Haseeb Zafar3

  • 1Electrical Engineering Department, Iqra National University, Peshawar 25000, Pakistan.

Sensors (Basel, Switzerland)
|March 13, 2024
PubMed
概括

一个新的多目标超图粒子群集优化 (MOHGPSO) 算法优化了用于结构健康监测 (SHM) 的传感器放置. 这种方法通过自主识别关键传感器位置来提高结构耐用性和安全性.

关键词:
模糊的决策 模糊的决策灰色的关系分析.多目标超图 粒子群优化 多目标超图 粒子群优化最佳的传感器放置位置结构健康监测 结构健康监测

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