| 李斌,王志鹏,王幸之.基于IOOA优化GRU-GASF-RP-ViT的万能式断路器故障诊断[J].电子测量与仪器学报,2025,39(12):64-76 |
| 基于IOOA优化GRU-GASF-RP-ViT的万能式断路器故障诊断 |
| Fault diagnosis of air circuit breaker based on IOOAoptimized GRU-GASF-RP-ViT |
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| DOI： |
| 中文关键词: 万能式断路器 改进鱼鹰算法 多模态融合 Vision Transformer 故障诊断 |
| 英文关键词:air circuit breaker improve the fish-eagle algorithm multimodal fusion vision transformer fault diagnosis |
| 基金项目:国家自然科学基金（5167158）、2024年辽宁省教育厅基本科研项目（LJ232410147055）资助 |
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| 中文摘要: |
| 万能式断路器(air circuit breaker,ACB)作为配电系统中重要的保护设备,其故障诊断对电力系统稳定运行至关重要。然而传统的单一模态模型在特征提取时,不能全面地筛选数据特征,导致故障诊断准确率下降。针对此问题提出了一种改进鱼鹰算法（IOOA）优化门控循环单元-格拉姆角和场-递归图-视觉转换器（GRU-GASF-RP-ViT）的万能式断路器故障诊断模型。该模型将一维信号和二维图像特征融合在一起,从时序和空间的角度更全面地描述数据的特征,提高故障分类和识别的准确性。首先通过GASF和RP分别将一维振动信号转换为两组二维图像。然后利用双支路ViT有效地学习两组二维图像的空间特征和局部特征。另一条支路通过GRU来捕获一维时序信号中的动态变化和趋势,实现GRU与全新的双支路ViT并行结合。针对模型中难以确定的超参数,引入IOOA对参数进行寻优改进,使模型更加合理。最后搭建断路器故障模拟实验平台,通过与其他6种模型的对比,准确率提升3.3%~13.3%,验证了所提模型具有更高的诊断精度。 |
| 英文摘要: |
| As an important protection equipment in distribution system, the fault diagnosis of universal circuit breaker (ACB) is very important for the stable operation of power system. However, the traditional single-modal model cannot fully describe the characteristics of the data when extracting features, resulting in a decrease in the accuracy of fault diagnosis. To solve this problem, this paper proposes an improved osprey algorithm to optimize the gated recurrent unit-graham angle and field-recurrence plot-vision transformer (GRU-GASF-RP-ViT) universal circuit breaker fault diagnosis model. The model combines one-dimensional signal and two-dimensional image features to describe the characteristics of the data more comprehensively from the perspective of time series and space. The accuracy of fault classification and recognition is improved. Firstly, the one-dimensional vibration signal is converted into two sets of two-dimensional images by GASF and RP respectively. Then, the two-branch ViT is used to effectively learn the spatial and local features of the two sets of two-dimensional images. The other branch captures the dynamic changes and trends in the one-dimensional time series signal through the GRU, and realizes the parallel combination of GRU and the new two-branch ViT. For the hyperparameters that are difficult to determine in the model. The improved osprey algorithm is introduced to optimize the parameters to make the model more reasonable. Finally, a circuit breaker fault simulation experiment platform is built. By comparing with the other four models, the accuracy rate has increased by 3.3%~13.3%, it is verified that the proposed model has higher diagnostic accuracy. |
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