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Information × Registration Number 0225U003504, (0124U004155) , R & D reports Title Innovative solutions for improving the efficiency of diagnosing automobile systems popup.stage_title Інноваційні рішення для підвищення ефективності діагностування автомобільних систем Head Volkov Volodymyr P., Доктор технічних наук Registration Date 04-07-2025 Organization Kharkiv National Automobile and Road University popup.description1 The purpose of the work is the development and implementation of innovative solutions to increase the efficiency of diagnostics of automotive systems, which will improve the accuracy of fault detection, reduce maintenance time and increase the reliability of cars, using modern methods of data analysis and artificial intelligence technologies. popup.description2  The object of the study is the processes of diagnosing the technical condition of automotive systems, in particular electronic, mechanical and combined units of a modern vehicle. The purpose of the study is to develop and substantiate innovative approaches, methods and tools that increase the efficiency of diagnosing automotive systems through the implementation of the latest information technologies and intelligent algorithms. Research methods are the collection and analysis of statistical data related to the process of vehicle maintenance, the study of research, publications, scientific articles and practical materials related to vehicle maintenance and innovative approaches in this area. Modeling and forecasting - within the framework of the study, mathematical models of the operation of individual automotive systems were created, which allow: to identify patterns of malfunctions; to predict the residual resource of components; to model the behavior of systems in real time using data from sensors; to test diagnostic algorithms on digital twins. Scientific novelty - the work proposes an innovative approach to diagnostics based on the integration of artificial intelligence with traditional control methods; adaptive algorithms for predicting the technical condition of vehicle components using machine learning have been developed. Scope of application: - service centers and service stations – for the implementation of modern diagnostic platforms; - automobile manufacturing enterprises – at the design and production stages; - transport companies and fleets – for monitoring the technical condition of vehicles in real time; - educational institutions – in the process of training automotive specialists. Product Description popup.authors Caraieva Iryna Yu. Bazhynov Oleksii V. Bezridnyi Volodymyr V. Horbik Yurii V. Dytiatiev Oleksandr V. Zibtsev Yurii V. Kryvoshapov Serhii I. Marmut Ihor A. Nahliuk Mykhailo I. Nazarov Oleksandr I. Pavlenko V'iacheslav M. popup.nrat_date 2025-07-04 Close