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平稳过程突变的在线检测与辨识
Online Detection and Identification for Abrupt Change in Stationary Process
【摘要】 将稳健- 容错辨识与突变检测技术相结合,在合理给出平稳过程位置- 刻度参数容错辨识算法的基础上,构造了一组可靠实用的过程脉冲型故障在线检测与辨识算法。通过过程自差分处理,将平稳过程阶跃型突变转化为过程脉冲型突变,为利用脉冲型故障检测与辨识方法处理阶跃型突变问题建立了联系。仿真计算证实了所建立的检测与辨识算法的有效性
【Abstract】 The robust & fault-tolerance identification (FTI) approaches and abrupt change detection methods are integrated. A series of FTI algorithms are given for process parameters. Based on these FTI algorithms, a new kinds of online detection approach for abrupt change and identification algorithm for fault magnitude are built. The conversion is given from step-type to impulse-type abrupt change. Based on this conversion, step-type changes can be detected and identified with the approaches built for impulse-type changes. Simulation results show that these new approaches are effectual and practical.
【Key words】 stationary process; abrupt change; fault detection; fault-tolerance identification;
- 【文献出处】 控制与决策 ,CONTROL AND DECISION , 编辑部邮箱 ,1999年S1期
- 【分类号】TP274.5
- 【被引频次】2
- 【下载频次】106