Abstract
The models and methods of monitoring of multicomponent systems, which generalize a practical experience gained in the construction of monitoring information systems, are discussed. An application domain is defined by the mathematical model of an asynchronous multicomponent system, and the time-dependent state of the model is described by a set of hypotheses. The states of individual components are recorded by sensors, the signals of which are used to verify hypotheses. The hypothesis selection reliability depends on the validity of information contained in signals coming from sensors. The proposed methods enable the identification of repetitive and contradictory signals and clusterization of signals belonging to independent and simultaneous informational processes. The features of the proposed approach are the for-mal model of application-domain knowledge and methods based on abstract mathematical objects, which can be employed to solve monitoring problems in different application domains.
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