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Chapter 34 Model Based Monitoring of Dynamic Loads and Remaining Useful Life Prediction in Rolling Mills and Heavy Machinery

机译:第34章基于模型的动态载荷监测,滚动轧机和重型机械中剩余的使用寿命预测

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Operation of industrial metallurgical plants is associated with significant wear in spindles, gearboxes and bearings where difficult to implement digital diagnostic tools due to harsh operating conditions. Angular and radial gaps produce extremely high dynamic loads and abrupt failures in the multi-stand hot rolling mills. Reliable vibration monitoring is very complicated due to inherent changes of technological regimes, treated material and drive speed. It appears more beneficial to monitor dynamic torques in addition to vibration signals, but this is restricted to the installation of strain gauges. The more acceptable approach is to monitor static torques of electric motors and, having identified multi-body models, to calculate remaining useful life (RUL) of elements. Based on this approach, the new monitoring system is developed for the multi-stand mill with integration into plant automation infrastructure. Parameters adaptation of nonlinear dynamical models is provided and technological loads optimization by the criterion of RUL in rolling stands. System supports a database of maintenance actions and elements failures. Reports are generated on overloading and RUL.
机译:工业冶金厂的操作与主轴,齿轮箱和轴承中的显着磨损有关,难以实现由于苛刻的操作条件而导致的数字诊断工具。角度和径向间隙在多支架热轧机中产生极高的动态载荷和突然的故障。由于技术制度,经处理的材料和驱动速度的固有变化,可靠的振动监测非常复杂。除了振动信号之外,监测动态扭矩似乎更有益,但这仅仅限于安装应变仪的安装。更可接受的方法是监测电动机的静态扭矩,并且具有识别的多体型,以计算元素的剩余使用寿命(RUL)。基于这种方法,新的监控系统是为多架轧机开发的,融入工厂自动化基础设施。提供了非线性动力学模型的参数适应,并通过滚动台中的RUL标准进行技术负荷优化。系统支持维护操作和元素故障的数据库。报告是在超载和rul上生成的。

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