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The Fault Diagnosis Model Established Based on RVM

机译:基于RVM建立的故障诊断模型

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摘要

This paper introduces the application of Relevance Vector Machine (RVM) in fault diagnosis. First, the theoretical contents of RVM including the algorithm characteristics, the derivation of mathematical models, the characteristics of kernel functions and multimode classification are introduced. Then, the multi-classification fault diagnosis model of building electrical system is established by using RVM. Finally, the experimental results show that the RVM model has good classification effect on small sample data.
机译:本文介绍了相关矢量机(RVM)在故障诊断中的应用。首先,介绍了RVM的理论内容,包括算法特征,数学模型的推导,核心函数的特征和多模分类。然后,通过使用RVM建立建筑电气系统的多分类故障诊断模型。最后,实验结果表明,RVM模型对小样本数据具有良好的分类效果。

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