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ACTA AERONAUTICAET ASTRONAUTICA SINICA ›› 1993, Vol. 14 ›› Issue (5): 276-283.

• 论文 • Previous Articles     Next Articles

INTELLIGENT DECISION FOR FAILURE DETECTION

Zhang Hong-hua Zhang Hong-yue1   

  1. 1. Beijing Institue of Control Engineering, Beijing, 100080;2. Faculty 301 Beijing University of Aeronautics and Astronautics, Beijing, 100083
  • Received:1991-09-04 Revised:1992-03-09 Online:1993-05-25 Published:1993-05-25

Abstract: According to Schank's dynamic memory theory- the classification of information system is studied, and the decision algorithm of intelligence is given. The failure detection of dynamical system can be considered as the classification between the subset with failure and the subset without failure. So the intelligent decision algorithm for failure detection is derived. By the algorithm, many complicated failure detection algorithm can be simplified as linear functions, and thus ti is a convenient algorithm. In addition, the algorithm releases the strict requirement on the statistical properties of the system, and therefore it has a good robust properly. An example is also given to prove the effectiveness of the algorithm.

Key words: Intelligent decision failure deteetiun, linear system