Aerospace Instrument-Making Annotation << Back MEANS OF DETECTION AND TECHNICAL DIAGNOSING OF REFUSALS OF ONBOARD CONTROL SYSTEMS OF AIRCRAFT IN THE CONDITIONS OF ENVIRONMENT INFLUENCE V.S. Drogaytsev, R.E. Kulikov The approach to estimation of efficient conditions, detection and technical diagnos-ing of refusals of onboard control systems by power plants of aircraft in the process of their test in the conditions of environment influence is considered. These problem tasks are supported by intelligent technologies in view of complexity of their deci-sion. Logical formalism of databases and knowledge bases of support of processes of estimation of efficiency, detection of refusals and diagnosing of refusals are proved. The method of creation of diagnosing model in the form of the matrix re-flecting cause-effect relationships between operating signals, nominal environmen-tal conditions, output parameters and refusals in behavior of onboard control sys-tems is presented. The step-by-step algorithm of dimension reduction (optimization) of model of the diagnosing allowing to receive limited structure of information-significant input-output functional dependences is offered. These dependences are a basis of final (engineering) option of the model reflecting the facts of diagnosing of required refusals. The algorithm is considered on a concrete example that allows to show visually processes of creation of diagnosing model and dimension reduc-tion of the model. The software for dimension reduction of matrix models of the di-agnosing, providing possibility of computer automation of the offered step-by-step algorithm, is developed. The offered methods and algorithm are universal and are calculated on application in various technical branches for account of possibility of realization of processes of object domain by computer aids. Key words: diagnosing of refusals, intelligent system, database and knowledge base, efficiency, diagnos-ing model, cause-effect relationship, dimension reduction. Contacts: E-mail: vsdrogaytsev@mail.ru, E-mail: kulikovre@mail.ru Pp. 08-17.