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| 基于RBF神经网络的传感器故障诊断研究 | |
| 引用本文： | 吴浩中,黄飞鹏,王开文.基于RBF神经网络的传感器故障诊断研究[J].机车电传动,2003(2):25-27,44. |
| 作者姓名： | 吴浩中 黄飞鹏 王开文 |
| 作者单位： | 1. 广州地区建设工程质量安全监督站,广东,广州,510030;西南交通大学,机车车辆研究所,四川,成都,610031 2. 广州地区建设工程质量安全监督站,广东,广州,510030 3. 西南交通大学,机车车辆研究所,四川,成都,610031 |
| 基金项目： | 铁道部科技研究开发计划项目(99J45-E) |
| 摘 要： | 提出一种基于RBF神经网络的多传感器故障在线诊断方法。同时对该方法在摆式列车加速度传感器故障诊断中的应用进行了仿真研究。仿真结果表明此方法是有效的，不仅消除了零偏对故障诊断的影响，而且提高了故障检测率及可靠性。 |
| 关 键 词： | RBF神经网络 故障诊断 在线诊断 摆式列车 加速度传感器 仿真研究 |
| 文章编号： | 1000-128X(2003)02-0025-03 |
Research on sensor fault diagnosis based on RBF neural network |
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| WU Hao-zhong,HUANG Fei-peng,WANG Kai-wen.Research on sensor fault diagnosis based on RBF neural network[J].Electric Drive For Locomotive,2003(2):25-27,44. | |
| Authors: | WU Hao-zhong HUANG Fei-peng WANG Kai-wen |
| Abstract: | An in-line fault diagnosis method for multi-sensors based on RBF neural network is brought forward. Simulations are made for its application to the acceleration sensor of the tilting train, which indicates the method is active. The influences to the fault diagnosis by zero deviation are eliminated and the fault detection rate is improved as well as the reliability. |
| Keywords: | fault diagnosis RBF neural network tilting train |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |