非平稳过程突发性故障的在线检测与辨识
Online Detection and Identification for Abrupt Faults in Nonostationary Process
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摘要: 突发性故障的检测与故障幅度辨识是过程监控和技术过程安全性研究领域的重要 课题.基于线性回归模型参数的容错估计,提出了一组适用于多故障过程脉冲型故障的在线 检测与故障幅度容错辨识的新方法,并利用该方法解决了过程阶跃型故障的检测与辨识问 题.通过理论分析和仿真计算,证实了该方法的有效性.Abstract: In process monitoring and technical process safety, it is necesary to detect abrupt faults in the process and to identify their magnitudes practically. Based on the fault-tolerant estimators of coefficients of the linear regression model, a series of online fault detection and fault-magnitude identification algorithms are given in this paper. A new practical approaches for step-type faults is built with these fault detectors given for pulse-type faults. Simulation results show that these new approaches are practical and creditable.
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