断开器的机械故障诊断方法基于功能融合的并行双通道模型
Chi Zhang1, Hongzhong Ma1, Tianyu Hu1
1School of Electrical and Power Engineering, Hohai University, Nanjing 211100, China.
Sensors (Basel, Switzerland)
|November 27, 2025
概括
一个新的并行双通道模型增强了断开器的机械故障诊断. 这种方法通过融合时间序列和空间特征来实现97.9%的准确性,改善了缺陷检测.
科学领域:
- 电气工程 电气工程
- 机械工程 机械工程
- 数据科学数据科学数据科学
背景情况:
- 断开器的机械故障诊断是具有挑战性的,因为数据稀缺和故障证据薄弱.
- 现有的方法很难及时发现隐藏的缺陷.
研究的目的:
- 为断开器提出一种先进的机械故障诊断方法.
- 提高故障检测系统的准确性和适应性.
主要方法:
- 开发了一种并行双通道特征融合模型.
- 使用了由黑翼算法 (BKA) 优化的变化模式分解 (VMD).
- 用于时间序列分析的Gated Recurrent Unit (GRU) 和用于从Recurrence Plots (RP) 提取空间特征的Vision Transformer (ViT).
- 使用多头自我注意机制进行分类的融合特征.
主要成果:
- 拟议的模型在机械故障类型中实现了97.9%的诊断准确度.
- 与其他九种模型相比,表现出优越的性能,精度改进范围从1.0%到9%.
- 通过测量数据验证了模型的有效性和适应性.
结论:
- 平行双通道功能融合模型为断开器机械故障诊断提供了强大的解决方案.
- VMD,GRU和ViT的集成有效地提取和融合了关键故障特征.
- 这种方法显著提高了缺陷检测能力和系统可靠性.
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