高压电器2023，Vol.59Issue(12)：36-47,12.DOI:10.13296/j.1001-1609.hva.2023.12.005
GIS开断设备典型机械故障模拟及运行状态智能诊断研究
Study on Typical Mechanical Fault Simulation and Intelligent Operation Condition Diagnosis of GIS Switching Equipment
牛硕丰 1李涛 1徐珂 1赵军磊 1赵俊杰 1王飒1
作者信息
- 1. 国网山东省电力公司菏泽供电公司,山东菏泽 274000
- 折叠
摘要
Abstract
Gas insulated switchgear(GIS)is an important apparatus in power transmission systems,However,the mechanical faults of switching equipment in GIS pose a significant threat to the safe and stable operation of the sys-tem.For improving the diagnosis accuracy on the type of mechanical fault of GIS circuit breaker,a platform for the mechanical characteristics test of GIS switching equipment is set up in this paper.The collection of such character-istic parameters as coil currents,contact displacement paths and vibration signals during the opening and closing pro-cesses under different fault conditions of the switching equipment is completed.The analysis shows that the wavelet time-frequency spectra of vibration signals are different under various conditions.On this basis,an intelligent diag-nostic method based on deep learning is proposed.The vibration feature signals are processed with wavelet transform,the scale coefficient is obtained and the spectrogram fusion is performed.The expansion of sample data set is achieved by the enhanced generative adversarial network(GAN),and the intelligent diagnostic model is set up based on the VGG16 architecture.The research results show that the use of the method achieves a diagnostic accura-cy of 99.3%for the closing spectrogram,and 98.4%for the opening spectrogram,which significantly increases the identification accuracy.关键词
GIS/机械故障/故障模拟/振动信号/智能诊断/深度学习Key words
GIS/mechanical failure/fault simulation/vibration signal/intelligent diagnosis/deep learning引用本文复制引用
牛硕丰,李涛,徐珂,赵军磊,赵俊杰,王飒..GIS开断设备典型机械故障模拟及运行状态智能诊断研究[J].高压电器,2023,59(12):36-47,12.
