【摘要】 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。更多还原

【Abstract】 To improve the functions and intelligent extent of existing monitoring system for hydroelectric generating sets,a neural network based intelligent fault diagnosis system for hydroelectric generating sets is developed,which is composed of two modules,namely state monitoring module and fault diagnosis module,and four parts,i.e.,data acquisition,data analysis,communication and intelligent fault diagnosis,is included.Because an expert system based on BP neural network is configured,so the developed diagnosis system possesses the features such as self-study,adaptability and intelligence.Tests show that the diagnosis results by this system are accurate,reliable and practicable.更多还原