By Dan Lawesson.
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Extra resources for An approach to diagnosability analysis for interacting finite state systems
That can be checked by evaluating the following CTL formula. AG(¬Bad) or, equivalently ¬EF (Bad) That is, there is no state in the computation tree that is Bad. Liveness can be expressed in the following way. In all paths of execution, Good should hold infinitely often. This means that at time of the execution, there is a future Good state, and it can be checked by the following CTL formula. AG(AF (Good)) In words, it is true for all states (AG), that eventually (AF ) Good will hold. This excludes any infinite computation not containing Good states.
And x? (with the same name x) are complementary. The set of internal events of o is Σint = Σ ∪ Σlog ∪ Σcrit . The set log Σ consists of logged events, and all logged events are written on the form log:x where x is the name of the logged event. Critical events have the syntax crit:x where x is the name of the event, and the set of all critical events is denoted Σcrit . Internal events that are neither critical nor logged are called epsilon events and belong to Σ . An epsilon event is written as an alphanumeric identifier without :,?
In other cases, such as when deciding how to try to repair the system, there is a need for finding the, in some sense, best diagnosis among this set. e. when faced with several possible diagnoses we select one with as few assumptions about broken components as possible. e. preferring δ instead of δ if δ ⊂ δ and both are consistent diagnoses. In general, though, the preference of small diagnoses is merely a fair assumption. 1. Terminology Indeed, if there are some faults that are much more likely to occur than others, it may be a more reasonable diagnosis to choose two of them instead of one fault that is very unlikely to take place.
An approach to diagnosability analysis for interacting finite state systems by Dan Lawesson.