摘要
对工业用离心式空气压缩机中供风系统的故障诊断进行了研究,针对目前压风控制系统故障诊断方法缺乏智能性,难以实现有效的系统故障预警的缺点,引入了人工神经网络技术,并以此为核心,构建远程故障诊断专家系统模块,详细分析了神经网络技术在空气压缩机故障诊断中的应用,有效地提高了远程监控系统对压风系统故障的预判断及处理能力。
Fault diagnosis of air supply system in centrifugal air compressor for industrial is studied .Aiming at the dis‐advantages that diagnosis methods of fault in wind pressure control system is lack of intelligence ,and difficult to realize fault warning defects effectively ,the technology of artificial neural network is introduced ,and used as the core to construct remote fault diagnosis expert system module ,make a detailed analysis of the application of neural network technology in fault diag‐nosis of air compressor .It effectively improves on the compressed air system fault pre judgment and the processing ability of the remote monitoring system .
出处
《舰船电子工程》
2015年第9期147-151,共5页
Ship Electronic Engineering
关键词
远程控制
信号采集
神经网络
故障诊断
remote control
signal acquisition
neural network
fault diagnosis
