首页> 外文会议>CSPE-JSME-ASME International Conference on Power Engineering Vol.2 Oct 8-11, 2001, Xi'an, China >THE APPLICATION OF RBFN NEURAL NET IN AN ENERGY LOSS DETECTION SYSTEM FOR A 125MW UNIT
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THE APPLICATION OF RBFN NEURAL NET IN AN ENERGY LOSS DETECTION SYSTEM FOR A 125MW UNIT

机译:RBFN神经网络在125MW机组能量损失检测系统中的应用。

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摘要

In order to solve the problem of failure data, a simulation method based on radial basis function networks (RBFN) is used in an energy loss detection system. This paper introduces the characteristics of RBFN net and how to determine it's key parameters. And then it expounds its learning process, the selection of the samples and the error analysis of the simulation results. Its application has proved that the method is not only accurate enough but also very feasible for on-line and real-time detection.
机译:为了解决故障数据的问题,在能量损失检测系统中采用了基于径向基函数网络(RBFN)的仿真方法。本文介绍了RBFN网络的特点以及如何确定其关键参数。然后阐述了其学习过程,样本的选择以及仿真结果的误差分析。它的应用证明,该方法不仅精度足够高,而且对于在线实时检测非常可行。

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