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VFQB:用于滚动轴承故障诊断的新型深度学习模型

Zhiru Xiao1, Yanfang Xu1,2, Junjie Cui1,2

  • 1College of Mechatronic Engineering, North University of China, Taiyuan 030051, China.

Sensors (Basel, Switzerland)
|May 14, 2025
PubMed
概括

本研究介绍了用于滚动轴承故障诊断的VMD/FFT-Quadratic-BiGRU模型. 先进的模型在噪音条件下准确地检测弱故障特征,实现100%的诊断准确性.

关键词:
双向封闭的循环单位.快速的里埃转换是什么?错误诊断 错误诊断 错误诊断 是一个问题.四位数神经网络的四位数神经网络.变化模式分解的变化模式分解

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Understanding the calculations and concepts related to double-collar bearings is essential for engineers and designers to optimize the performance of these components in various applications. By analyzing the bearing under different conditions, one can ensure that it can withstand the forces and moments experienced during operation. This knowledge enables better decision-making when designing and selecting bearings for specific purposes and configurations. Consider a double-collar bearing with...
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