Abstract
This chapter addresses the problem of Fault Detection and Isolation for a particular class of discrete event dynamic systems named Hierarchical Finite State Machines (HFSMs). A new version of the property of diagnosability for discrete event systems tailored to HFSMs is introduced. This notion, called Ll-diagnosability, which captures the possibility of detecting an unobservable fault event using only high level observations of HFSMs. For the sake of generality, the notion of Ll-diagnosability is defined in the framework of formal languages. Then, sufficient conditions for it are presented that exploit the rich structure of HFSMs. These conditions are illustrated with several examples. Algorithms for testing L1-diagnosability and guidelines for studying it are presented.
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