机器状态趋势分析及在注水机组上的应用

The Trend Analysis of Machinery Working Condition and Its Application in Water Flooding Set

目的介绍机器工作状态趋势分析的描述和评定方法，研究趋势分析预测模型的建立和预测参数的选择，探讨预测模型的改进，方法采用了一种用于机器工作状态趋势分析的组合预测模型（ＧＭＡＲ）和一种实用的６段频率幅值趋势预测方法。结果和结论机器工作状态趋势分析技术能为实现机械系统的在线故障预测提供有效途径。

Aim To give the description and the way of judgement on trend analysis for machinery working condition; to study the building of prediction models and the selecteing of prediction parameters for trend analysis and probe an improvement on the prediction model.Methods A combined prediction model(GMAR) was adepted; a practical method of the trend prediction with frequency spectrums of six sections was used.Results and Conclusion The technology of trend analysis for machinery working condition can offer valid way for predicting the faults of machinery system on line.