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Updated: Jan 10, 2026

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基于剩余使用寿命预测的飞机发动机预测性维护计划

Fei Xue1, Guodong Jin2, Lining Tan1

  • 1Institute of Nuclear Engineering, Rocket Force University of Engineering, Xi'an, 710025, China.

Scientific reports
|November 22, 2025
PubMed
概括

本研究介绍了一个预测性维护框架,使用变压器长期短期内存 (Trans-LSTM) 模型来预测航空发动机剩余使用寿命 (RUL). 这种方法提高了飞行安全,并通过优化维护计划来降低运营成本.

关键词:
贝叶斯的优化是贝叶斯的优化.长期短期记忆 长期短期记忆预测性维护是指预测性维护.在RUL预测预测.变压器变压器变压器

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