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Updated: Jan 29, 2026

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混合HHO-WHO优化变压器-GRU模型用于工业机械和发动机的高级故障预测

Amir R Ali1,2, Hossam Kamal1,2

  • 1Mechatronics Engineering Department, Faculty of Engineering and Materials Science (EMS), German University in Cairo (GUC), New Cairo 11835, Egypt.

Sensors (Basel, Switzerland)
|January 28, 2026
PubMed
概括

这项研究介绍了一种混合的哈里斯·霍克斯优化 (HHO) 和野生马优化 (WHO) 框架,以增强预测性维护模型. 优化的变压器-GRU模型显著提高了跨多个数据集的故障预测准确性和可靠性.

关键词:
自动化的超参数调.发动机的发动机可以失效时间预测失效时间预测混合 HHOWHO 算法工业机械 工业机械剩余的使用寿命 (RUL)智能制造是智能制造的一种方式.变压器-GRU模型

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