摘要
大型旋转机械设备故障的特性预报,是一项具有重大生产实际意义的新课题。本文首先提出精密预报这一新概念,借助于灰色预测理论的GM(1.1)模型对其预报模式进行了研究,提出精密预报的关键是把预报从传统的时域转向频域。文章还针对渐发性的旋转机械故障,对其精密预报方法进行了探讨。并用一台大型CO_2压缩机组的长期监测数据进行了验证。
It is a nwe work to accutately forecast rotating mechanical faults and has greater actual production signficance. The paper suggests the new conception of accuracy forecasting first. It studies the forecast model by means of GM(1.1) model based on grey theory. It points out that key step is to change the forecasting from time field to freguency field. The paper investigates the accuracy method according to the gradual developing rotating mechanical faults. It also proves the method by the monitoring data of a Co_2compressor in long time and discusses the possibility to improve the model.
