摘要
提出了一种基于BN模型的故障诊断流程,包括数据预处理、特征提取、网络学习和故障诊断.为验证提出方法的精准性和有效性,对提出方法、VMD-KNN、AE-KNN进行实验对比分析,结果显示提出的BN模型下的汽轮发电机组故障诊断方法准确性更高.
Abstract
A fault diagnosis process based on BN model is proposed,including data preprocessing,feature extraction,network learning and fault diagnosis.In order to verify the accuracy and effectiveness of the method proposed in this paper,experimental comparative analyses of this paper's method,VMD-KNN,and AE-KNN are carried out,and the results show that the proposed fault diagnosis method for turbine generator sets under the BN model is more accurate.
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