连铸主机辊系故障诊断专家系统模型与算法

Study on Model and Algorithm in Computer Expert System of Continuous Casting Equipment's Synthesis State Judgment

在建立了连铸主机设备的状态监视系统后,通过收集大量的现场数据,利用神经元网络技术研究了辊系工作状态的基本模型·应用数据分析后的现场数据对建立的网络进行训练得到了拟合驱动辊力矩均值曲线的计算模型,并将研究的故障判断模型和算法应用到连铸主机辊系的现场计算机监视专家系统,准确地判断出在线运行设备中的电机故障,避免了对连铸铸坯质量的不良影响·为建立结晶器专家系统和铸坯质量判断系统奠定了良好基础·

A basic mathematic model of working state for the driving roll system of continuous casting equipment was studied on the collected data. A BP neural network was applied to build the working state model, and the analyzed data was used to train this BP neural network. The even strength value's curve of driving rolls in same time was simulated with the BP model. This BP model was used as casting equipment's conk outs diagnosing model in the expert system for continuous casting driving roll system's computer diagnosis. With the model and algorithm of conk outs judgment, some failure of online roll's engine was diagnosed exactly. The bad effects of driving motor troubles on the steel band were avoided.