摘要
文中提出了一种气动调节阀粘滞特性监测系统以及方法,结合鸟群算法优化了系统计算时效。系统主要包括从待诊断工业调节阀对应的控制回路中,采集一组过程数据,计算过程数据的频率谱,利用鸟群算法确定该过程数据的振荡周期,进一步结合分析过程数据的频率谱的分布特性,计算过程数据的气动阀粘滞性指数,若气动阀粘滞性指数在决策限区间之内,则待诊断气动调节阀的工作特性无粘滞性,否则待诊断气动调节阀具有粘滞性。采用仿真数据,验证计算了提出系统及方法的可行性,得到80%以上的分类正确率,实现了对气动调节阀粘滞特性的定量评估。
This paper presents a monitoring system and method for the viscosity characteristic of pneumatic control valve. The system includes industrial valve to be diagnosed from the corresponding control loop, collecting a set of process data to calculate the frequency spectrum of process data, the use of birds swarm algorithm for determining the oscillation period of the process data, the further integration of the distribution of frequency spectrum analysis data characteristics, pneumatic valves viscosity index calculation process data. if the pneumatic valve viscosity index is in the range of the decision limit which refers to be the non-viscouscharacteristics of diagnosed operatingpneumatie control valve, or else to be diagnosed pneumatic control valve having a viscosity.Using simulated data to verify the feasibility of the proposed system and computing methods, the results obtain more than 80% accuracy of classification , which archives quantitative characteristicsassessment of pneumatic control valve stiction.
出处
《电子设计工程》
2017年第6期31-34,38,共5页
Electronic Design Engineering
关键词
鸟群算法
气动调节阀
工业控制系统
粘滞性
birds swarm algorithm
pneumatic control valve
industrial control systems
stiction
