牵引(地质)
断层(地质)
整流器(神经网络)
火车
估计员
工程类
故障指示器
计算机科学
控制理论(社会学)
故障检测与隔离
电子工程
电气工程
人工智能
控制(管理)
人工神经网络
数学
执行机构
统计
地质学
随机神经网络
循环神经网络
机械工程
地震学
地图学
地理
作者
Yunjun Yu,Yunquan Song,Hongwei Tao,Jiawen Hu
出处
期刊:Electronics
[Multidisciplinary Digital Publishing Institute]
日期:2024-01-02
卷期号:13 (1): 197-197
被引量:8
标识
DOI:10.3390/electronics13010197
摘要
The traction rectifier plays a key role in high-speed trains. Unexpected failure often occurs in the sensors of the rectifier, which may affect the control performance of the electric traction rectifier and even cause serious deterioration to high-speed trains. A sensor fault diagnosis method is presented in this paper, considering three kinds of common fault types. It can not only locate the sensor fault, but also identify fault types. Based on the influences of the sensor faults, the fault diagnosis thresholds can be calculated quantitatively. No additional hardware is required. First, the model of the rectifier is established, and the estimator is built. The current residuals with different faults can be obtained. Next, residuals are analyzed and features are acquired. Then, diagnosis functions are constructed, which are used for fault location and fault type identification. Finally, the feasibility and effectiveness of the method have been confirmed by the experimental results.
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