MU Yu, XIA Hong, LIU Yong-kuo. Fault Diagnosis Method for Nuclear Power Plant Based on Ensemble Learning[J]. Atomic Energy Science and Technology, 2012, 46(10): 1254-1258. DOI: 10.7538/yzk.2012.46.10.1254
Citation: MU Yu, XIA Hong, LIU Yong-kuo. Fault Diagnosis Method for Nuclear Power Plant Based on Ensemble Learning[J]. Atomic Energy Science and Technology, 2012, 46(10): 1254-1258. DOI: 10.7538/yzk.2012.46.10.1254

Fault Diagnosis Method for Nuclear Power Plant Based on Ensemble Learning

  • Nuclear power plant (NPP) is a very complex system, which needs to collect and monitor vast parameters, so it’s hard to diagnose the faults of NPP. An ensemble learning method was proposed according to the problem. And the method was applied to learn from training samples which were the typical faults of nuclear power plant, i.e., loss of coolant accident (LOCA), feed water pipe rupture, steam generator tube rupture (SGTR), main steam pipe rupture. And the simulation results were carried out on the condition of normal and invalid and absent parameters respectively. The simulation results show that this method can get a good result on the condition of invalid and absent parameters. The method shows very good generalization performance and fault tolerance.
  • loading

Catalog

    Turn off MathJax
    Article Contents

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return