ANALYTICAL REDUNDANCY AND THE DESIGN OF ROBUST FAILURE-DETECTION SYSTEMS
ANALYTICAL REDUNDANCY AND THE DESIGN OF ROBUST FAILURE-DETECTION SYSTEMS
复制标题
DOI：
10.1109/tac.1984.1103593
复制
发表时间：
1984-01-01
影响因子：
6.8
通讯作者：
WILLSKY, AS
中科院分区：
文献类型：
--
作者：
CHOW, EY;WILLSKY, AS
故障检测和识别(FDI)过程被认为由两个阶段组成：残差产生和决策。本文认为，稳健的FDI系统可以通过设计稳健的残差生成过程来实现。分析冗余是残差产生的基础，其特征在于奇偶空间。利用奇偶关系的概念，可以以多种方式生成残差，并且稳健残差生成过程的设计可以表示为极小极大优化问题。文中还给出了一个实例来说明这种设计方法。
The failure detection and identification (FDI) process is viewed as consisting of two stages: residual generation and decision making. It is argued that a robust FDI system can be achieved by designing a robust residual generation process. Analytical redundancy, the basis for residual generation, is characterized in terms of a parity space. Using the concept of parity relations, residuals can be generated in a number of ways and the design of a robust residual generation process can be formulated as a minimax optimization problem. An example is included to illustrate this design methodology.