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SVR在传感器故障诊断中的仿真研究
引用本文:翟永杰,尚雪莲,韩璞,王东风.SVR在传感器故障诊断中的仿真研究[J].系统仿真学报,2004,16(6):1257-1259,1279.
作者姓名:翟永杰  尚雪莲  韩璞  王东风
作者单位:华北电力大学,保定,071003
摘    要:利用回归型支持向量机(Support vector regression,SVR),设计了一个传感器故障诊断系统。对SVR采用离线训练,在线应用的方法。使用训练好的SVR模拟系统的动态特性,并将输出结果和实际系统输出相比较,从而生成故障残差。仿真结果表明,SVR能够高精度的模拟系统的动态特性,进而生成较高精度的故障残差,有效地保证了传感器故障诊断的准确性。

关 键 词:SVR  SVM  故障诊断  传感器
文章编号:1004-731X(2004)06-1257-03

Simulation Research on SVR in Sensor Fault Diagnosis
ZHAI Yong-jie,SHANG Xue-lian,HAN Pu,WANG Dong-feng.Simulation Research on SVR in Sensor Fault Diagnosis[J].Journal of System Simulation,2004,16(6):1257-1259,1279.
Authors:ZHAI Yong-jie  SHANG Xue-lian  HAN Pu  WANG Dong-feng
Abstract:A sensor fault diagnosis system is designed by using SVR. SVR is trained out of line, and used online. After being trained, SVR is used to simulate system dynamic characteristic. The simulation result is compared with actual output, and then fault error is drawn. The simulation result shows that, SVR can simulate the system more accurately, thus the fault error is very precise. This assures the validity of this fault diagnosis system.
Keywords:SVR  SVM  fault diagnosis  sensor
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