摘要
牵引传动系统的运行温度是列车运行状态与保护决策的重要指标,针对现有牵引传动系统中温度传感器故障诊断方法存在漏诊与误报断问题,提出了一种基于信息融合的多温度传感器智能故障诊断方法。该方法首先根据牵引传动系统温度检测原理,以系统中的水温传感器与油温传感器为故障诊断对象,提出基于动态主成分分析法的各温度传感器采样值的估算方法;然后基于各温度传感器的采样值与估计值的残差变化规律,提出故障检测与故障隔离的方法;最后,为了验证所提方法的有效性,基于列车实际运行数据,与现有的方法进行比较研究。试验结果表明,所提方法不仅能提高诊断精度,还能够在温度传感器故障情况下,估计出实际温度值,有效提升了列车的可用性,具有较高的实用价值。
The temperature of traction drive system is an important index for the system operation status monitoring and protection decision-making.To solve the problems of missing diagnosis and false alarm in the existing fault diagnosis methods,an intelligent fault diagnosis method based on information fusion is proposed for multi-temperature sensors in traction drive system.Firstly,according to the temperature sampling mechanism of the traction drive system,a method for estimating the sampling values is proposed for the water temperature sensors and the oil temperature sensors based on the dynamic principal component analysis(PCA)algorithm.Then based on the variation law of residual between the sampled value and estimated value of each temperature sensor,a method of fault detection and fault isolation is proposed.Finally,the actual train operation data is used to verify the proposed algorithm.The experimental results show that compared with the existing methods,the proposed method can not only improve the diagnosis accuracy,but also estimate the actual temperature when the temperature sensor fails,which effectively improves the availability of the train and has good practical value.
作者
侯鑫尧
倪强
李学明
黄庆
HOU Xinyao;NI Qiang;LI Xueming;HUANG Qing(Guangzhou Railway Vocational and Technical College,Guangzhou 510410;School of Automation,Guangdong University of Technology,Guangzhou 510006;CRRC Zhuzhou Electric Locomotive Research Institute,Zhuzhou 412001)
出处
《电气工程学报》
CSCD
2023年第2期269-276,共8页
Journal of Electrical Engineering
基金
国家自然科学基金(62103109)
广东省普通高校青年创新人才(2022KQNCX220)
广州市教育局高校科研(202235280)资助项目。
