| 基于SVM预测器的传感器故障诊断与信号恢复研究 |
| |
| 引用本文： | 刘东,葛运建.基于SVM预测器的传感器故障诊断与信号恢复研究[J].传感技术学报,2005,18(2):247-249,253. |
| |
| 作者姓名： | 刘东 葛运建 |
| |
| 作者单位： | 中国科学院合肥智能机械研究所,合肥,230031;中国科学技术大学自动化系,合肥,230026;安微建筑工业学院数理系,合肥,230022;中国科学院合肥智能机械研究所,合肥,230031 |
| |
| 摘 要： | 支持向量机(SVM)是一种新兴的基于统计学习理论的机器学习方法.简要介绍了SVM回归原理,据此建立了基于SVM的时间预测器并用于传感器的故障诊断和信号恢复,阐述了具体的实现方法和步骤.仿真结果表明:SVM预测器有效地克服了神经网络的不足,能准确预测和跟踪传感器的输出信号,并在传感器发生故障后一定的时间段内能较精确的估计传感器的正常输出.
|
| 关 键 词： | 支持向量机 传感器 故障诊断 信号恢复 |
| 文章编号： | 1005-9490(2005)02-0247-03 |
Research on Sensor Fault Detection and Signal Recovery Based on SVM |
| |
| L IU Dong,GE Yunj i an.Research on Sensor Fault Detection and Signal Recovery Based on SVM[J].Journal of Transduction Technology,2005,18(2):247-249,253. |
| |
| Authors: | L IU Dong GE Yunj i an |
| |
| Affiliation: | 1. I nst itute of I ntel li gent Machines , Chinese Academy of Sciences , He f ei 230031 , China;
2. Dept. of A utomat ion , Universit y of Science and Technology of China , He f ei 230026 , China;
3. Dept. of Mathematics and physics , A nhui I nstit |
| |
| Abstract: | Support vector machine (SVM) is a new machine learning method based on statistic learning theory, it has excellent performance compared with other non-linear regression, such as neural network. We introduced the fundamental theory of SVM regression, proposed a predictor based-on SVM regression for sensor fault detection and signal recovery, and presented the principle of the predictor and its on-line algorithm. The simulation results show that this method can detect sensor fault and recover sensor signal successfully. |
| |
| Keywords: | support vector machine sensor fault detection signal recovery |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
| 点击此处可从《传感技术学报》浏览原始摘要信息 |
|
点击此处可从《传感技术学报》下载全文 |
|
