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Updated: Feb 26, 2026

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
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滚动轴承故障诊断方法基于STFT统计特征和AL-SOA优化的包装树的融合

Hongwei Bai1, Weiyan Tong2, Chongxi Duan1

  • 1School of Chemical Process Automation, Shenyang University of Technology, Liaoyang, 111003, Liaoning, China.

Scientific reports
|February 24, 2026
PubMed
概括

本研究引入了一种新的故障诊断方法,用于采用合短时间里埃变换 (STFT) 和时间域统计特征的滚动轴承. 通过适应性莱维-海优化算法 (AL-SOA) 为包装树进行优化,在复杂的条件下实现高精度.

关键词:
适应式莱维海优化算法注意力机制注意力机制包装树木 包装树木组合学习学习 组合学习错误诊断是一个错误的诊断.滚动轴承是一个滚动轴承.短时间里叶变换统计特征 统计特征 统计特征

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