Fault Tracing Method Based on Fault Propagation and Causality With Its Application to the Traction Drive Control System
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摘要: 针对故障溯源问题, 提出一种基于故障传播与因果关系的故障溯源方法. 该方法首先建立体现时空特性的系统故障传播模型; 其次利用Granger因果关系技术判定不同观测点信号间的因果关系, 确定适合提取信号故障特征用于故障诊断的观测点; 然后提取系统运行时这些观测点故障特征和故障传播时间; 最后同故障传播模型中对应观测点的时空特性相匹配, 从而确定故障类型与位置, 实现故障溯源. 所提方法在高速列车牵引传动控制系统半实物仿真平台上进行了实验验证, 结果表明该方法可行有效.
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关键词:
- 牵引传动控制系统 /
- 故障传播模型 /
- 故障溯源 /
- 时空特性 /
- Granger因果关系
Abstract: To solve the problem of fault tracing, a fault tracing method based on fault propagation and causality is proposed in this paper. Firstly, the fault propagation model of the system, which reflects spatiotemporal characteristics, is established. Secondly, the Granger causality technique is used to determine the causality between signals of different observation points, and to determine the observation points suitable for extracting fault features for fault diagnosis. Thirdly, the fault features and fault propagation time of these observation points are extracted, and then compared with the spatiotemporal characteristics of the corresponding observation points in the fault propagation model to determine the fault type and location. The proposed method is verified by the semi-physical simulation platform of the traction drive control system of high-speed train, and the feasibility and efficacy of this method is verified.1) 收稿日期 2019-03-27 录用日期 2019-09-24 Manuscript received March 27, 2019; accepted September 24, 2019 国家自然科学基金 (61490702, 61773407, 61621062, 61803390, 61751312), 国家杰出青年科学基金 (61725306), 轨道交通节能控制与安全监测湖南省重点实验室 (2017TP1002), 湖南省科技厅科技计划项目 (2016TP1023), 装备预研教育部联合基金 (6141A02022110), 装备预研领域基金 (61400030501), 博士后基金 (2018M643000) 资助 Supported by National Natural Science Foundation of China (61490702, 61773407, 61621062, 61803390, 61751312), National Science Foundation for Distinguished Young Scholars of China (61725306), Key Laboratory of Energy Saving Control and Safety Monitoring for Rail Transportation (2017TP1002), Science and Technology Project of Hunan Science and Technology Agency (2016TP1023), Program of Joint Pre-research Foundation of the Chinese Ministry of Education (6141A02022110), General Program of Equipment Pre-research Field Foundation of China (61400030501), and Postdoctoral Foundation (2018M643000)2) 本文责任编委 董海荣 Recommended by Associate Editor DONG Hai-Rong 1. 中南大学自动化学院 长沙 410083 2. 邵阳学院多电源地区电网运行与控制湖南省重点实验室 邵阳 422000 1. School of Automation, Central South University, Changsha 410083 2. Hunan Provincial Key Laboratory of Grids Operation and Control on Multi-Power Sources Area, Shaoyang University, Shaoyang 422000 -
图 2 牵引传动控制系统观测点示意图
Fig. 2 Schematic diagram of observation point of traction drive control system
图 3 牵引传动控制系统主电路拓扑图
Fig. 3 Main circuit topology diagram of traction drive control system
图 5 观测点电流信号间Granger因果关系
Fig. 5 Granger causality between the current signals at different observation points
表 1 不同观测点故障特征频率值(Hz)
Table 1 Fault feature frequency value at different observation points (Hz)
电网
频率$ f $ 电机定子电流
频率$ f_1 $ 转差率 $ s $ 观测点1电流故障
特征频率$ (1\pm2s)f_1 $ 观测点2电流故障
特征频率$ 2sf_1 $ 观测点3电流故障
特征频率$ 2sf_1 $ 观测点4电流故障特征频率 $ (4n\pm1)f\pm2sf_1 $ 50 131.1 0.0172 126.4/135.6 4.5 4.5 45.5/54.5
145.5/154.5
245.5/254.5
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