非线性模拟电路的故障诊断使用通用频率响应函数和LSSVM
Jialiang Zhang1, Yaowang Yang2
1School of Electronic Information Engineering, Xi'an Technological University, Xi'an, Shaanxi, China.
PloS one
|January 8, 2025
概括
本研究介绍了非线性模拟电路的先进故障诊断方法,将通用频率响应函数 (GFRF) 估计与简化最小方程支向量机 (LSSVM) 结合起来,以准确快速地进行多故障分类.
科学领域:
- 电气工程 电气工程
- 电路分析 电路分析
- 机器学习应用 机器学习应用
背景情况:
- 非线性模拟电路需要强大的故障诊断方法.
- 现有的方法可能会面临准确性和效率方面的挑战.
- 准确的故障识别对于系统可靠性至关重要.
研究的目的:
- 为非线性模拟电路提出一种新的故障诊断方法.
- 为了提高诊断准确度和减少培训时间.
- 开发一个高效的多故障分类器.
主要方法:
- 估计使用波信号输入的通用频率响应函数 (GFRF).
- 从时间域数据直接解决GFRF,避免里埃变换.
- 使用简化最小方程支持向量机 (LSSVM) 设计一个多故障分类器.
- 采用结合梯度算法进行高效的LSSVM训练.
主要成果:
- 拟议的方法从时间域数据准确地估计了GFRF.
- 简化的LSSVM分类器显示了高的诊断准确性.
- 结合梯度算法显著减少了训练时间和存储需求.
- 在双四过电路上的模拟实验验证实了该方法的有效性.
结论:
- 结合的GFRF和简化的LSSVM方法为非线性模拟电路故障诊断提供了一个强大的工具.
- 该方法实现了高精度,提高了效率.
- 这种技术适用于实时故障检测和系统维护.
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