By Dan Lawesson.
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Additional info for An approach to diagnosability analysis for interacting finite state systems
5. The Diagnosis of a System Behavioral Model Fault Isolation 43 Chapter 4 Behavioral Model Fault Isolation Feeling unknown and you’re all alone Flesh and bone by the telephone Lift up the receiver I’ll make you a believer Martin Gore In a consistency based approach to fault isolation and diagnosis, there are often several possible hypotheses of dysfunctional components that are consistent with the model and observations. The set of all consistent and minimal diagnoses is sometimes a satisfactory result of diagnosis.
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 :,? or ! in it, but since the name of an epsilon event has no effect on the semantics of the component, epsilon events are often simply denoted . Mathematical Foundation 25 wait data? acking ack! crit:down down to!
The initial state is the idle state waiting for a segment message (from the interpolator). When the segment is received, the servo enters the exec state, indicating that the segment is to be executed. To execute the segment, the message data is sent (to the bus), indicating that the segment data is successfully sent. If the data is sent, the servo enters the wait state, waiting for an acknowledgment message. This message signals that the segment is properly executed, and the servo thus enters its ok state, and then sends the ready message (to the interpolator) signaling that the segment is handled and that the servo now has returned to the idle state, ready for a new segment.
An approach to diagnosability analysis for interacting finite state systems by Dan Lawesson.