Method for synthesis of an intelligent automatic system for diagnosing combustion engine vibration of the power supply system of an unmanned vessel

The paper considers the implementation prospects and features of the synthesis of an intelligent automatic system for diagnosing the internal combustion engine vibration of a power supply system in terms of developing technologies for automatic or remote control of unmanned vessels. The paper addresses the issue of predicting the technical condition of a combustion engine using available diagnostic methods. The study focuses on the equipment required for monitoring and analyzing the technical condition of the engine of an unmanned vessel when operating in automatic or remotely controlled mode. An algorithm has been developed for collecting, storing and accumulating data on the condition of the engine components and units in the on-board information system of the vessel to exchange data on the condition of the engine and its components during remote monitoring and to determine fault codes. The approaches to the synthesis of an intelligent automatic system for diagnosing the combustion engine vibration are considered from a methodological point of view. Vibration diagnostics equipment used for the analysis of the technical condition of the engine is proposed. Some results of the classification of the technical condition of the engine are presented. The expediency of introducing and using hybrid intelligent systems based on artificial neural networks is exemplified by diagnostics of the MITSUBISHI S16R engine.

Didactic model of development of research activities of schoolchildren in a hybrid intellectual learning environment

Introduction. The problem of developing and implementing intelligent digital technologies in the system of teaching subject areas of knowledge for the purpose of self-organization of the individual, understanding and comprehending complex mathematical knowledge as a principle of personal development based on individualization of learning, establishing personalized and computerized feedback of cognitive and evaluative processes is relevant and far from solved. In this problem field, the issues of organizing the research activities of students in the process of adapting modern achievements in science to school mathematics through intellectual management are updated. Materials and methods. To identify new trends in the development of the concept of "research activity", methods of theoretical and methodological analysis (comparative, retrospective, modeling), analysis of mathematical, psychological, pedagogical, technical literature, methods of systematization of existing experience on the research problem were used. The possibilities of methods of intelligent management, design of a hybrid intellectual learning environment for creating a model of research activity are studied. The results of the study. A didactic model of research activity is developed based on the use of hybrid intelligent systems in the course of adapting modern scientific achievements with the manifestation of the effects of self-organization of the individual. The author's concept of intelligent management of the educational process in a hybrid intellectual learning environment was the structure-forming module of the model construction. The system of principles considered in the context of the unity and mutual influence of the three components of the structure of the information and educational space is formulated and justified: a set of digital educational platforms and technologies; digital interaction infrastructure in the context of the interactive triad "teacher-computer-student" of the educational process; digital information and educational content. In the course of mastering complex knowledge through historiogenesis and the range of its applications, technological constructs of clusters of foundation components of the generalized structure are built in the direction of building individual educational trajectories of schoolchildren using hybrid neural networks that make up the content component of the research activity development model. Conclusion. The results of the study are of practical value, as they serve as a methodological basis for creating a software package that implements the functionality of a hybrid intelligent system for developing students' research activities based on the developed principles and structural components using expert systems and fuzzy modeling.

Testing the systems with fuzzy discrete components

Modern complex systems are build based on heterogeneous components with various interrela tionships, fuzziness, and uncertainty of the laws of functioning of the components and the system. An important class of such systems comprises hybrid intelligent systems, where the components are represented by analytical models of fuzzy objects, artifi cial neural networks, expert systems, etc. The article considers fuzzy discrete devices being, for example, part of hybrid systems. Fuzzy linear automata (FLA) introduced in the article are used as a mathematical model of such components. The problem of test synthesis for FLA used to detect faults in them is discussed. Normal single-stuck faults are permissible faults in FLA. The faults originating from the replacement of some elements of the FLA characteristic matrices with others (from a given set of alternative ones) are also permissible. Test synthesis methods for FLA belonging to the class of m-deterministic and synchronized automata, as well as arbitrary linear automata have been developed. The fi rst two methods are based on reducing the considered problem of solving systems of linear algebraic equations. It should be noted that there is a well-developed mathematical apparatus applying a few eff ective methods for searching for such solutions. The tests synthesized by these methods for m-deterministic and synchronized FLA are sufficiently short and do not exceed the memory depth of the corresponding automata. It is shown that the conditions for an FLA referring to the two fi rst classes mentioned above are not too strict. It is noted that the known methods of test synthesis for linear automata require compliance with much more stringent requirements. The synthesis method for arbitrary FLA also builds short tests