状态热图在AGC伺服缸早期振动辨识中的应用
Early-Stage Vibration Monitoring of AGC Hydraulic Cylinder Using the Hits-Density Imaging

通过对轧制自动厚度控制系统（automated gauge control,简称AGC）伺服缸分别模拟3个阶段的保载和振动加载下所收集到的声发射信号，依托前期研究，探索基于状态热图的AGC伺服缸早期振动的辨识方法。通过在迁安沪久660 mm轧机的AGC伺服缸上模拟保载和早期振动状态，采集声发射信号，对所采集信号的累计概率分布进行分析，选取可表征伺服缸加载状态变化的声发射特征。基于对所选特征进行组合并施加一定的值域约束和逻辑运算条件，构建了AGC伺服缸保载和早期振动的声发射热图。对状态热图的分析结果显示，AGC伺服缸在同等加载状态下的振动和保载状态可较好地通过此类状态热图予以呈现，为AGC伺服缸的早期振动状态提供一种快速、便捷的可视化辨识方案。
According to the acoustic emission signals obtained from the simulation of the holding-load and load servo cylinder of the rolling automated gauge control (AGC), this paper presents a hits-density based visualization model for early-stage vibration state identification of the AGC hydraulic cylinder. First, the normal loading and early-stage vibration are applied to a 660mm rolling mill AGC cylinder to acquire the acoustic emission bursts. Then, particular signals are extracted according to their cumulative statistical distribution analysis to describe the changes of the servo cylinder under load. Finally, the acoustic emission hits density images of the ACG servo cylinder under normal loading and with early-stage vibration are drawn after special organization of the selected features and some logical calculation with limits in range. The hits density images suggest promising performance of such images for the early vibration identification of AGC servo cylinders.