陈林刚;韩凤琴;桂中华;

• 1:华南理工大学电力学院
• 2:华南理工大学电力学院
• 3:华南理工大学电力学院 广东省广州市510640
• 4:广东省广州市510640

摘要(Abstract)：

针对现有水电机组状态监测系统功能不完善、不够智能化的缺点,开发了基于神经网络的水电机组智能故障诊断系统,该系统由状态监测和故障诊断两个模块构成,包括数据采集、数据分析、通信和智能故障诊断4部分。与传统故障诊断系统相比具有BP神经网络组成的专家系统,因此具有自学习、自适应和智能化等特点。实验结果表明,此系统的诊断结果准确可靠,具有良好的实用价值。

关键词(KeyWords)： 水电机组;状态监测;故障诊断;BP神经网络;专家系统

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金资助项目(50379015)~~

作者(Author): 陈林刚;韩凤琴;桂中华;

Email:

DOI:

参考文献(References)：

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