论文部分内容阅读
分析并指出了压缩机组防喘振控制系统的缺陷．在此基础上，针对机组发生喘振与机组工艺参数间的关系，建立了一个基于神经网络模型的喘振预警系统，以帮助现场机组操作人员及早发现喘振
Analyzes and points out the defects of the compressor anti-surge control system. On the basis of this, aiming at the relationship between unit surge occurrence and unit process parameters, a surge early warning system based on neural network model is established to help on-site unit crew detect surge early