THE DEVELOPMENT OF A METHODOLOGY FOR COMPUTER DIAGNOSIS OF AUTOMOTIVE SYSTEMS

Abstract

The rapid growth in the complexity of modern vehicle electronics and the increasing number of interconnected electronic control units make advanced diagnostic training systems a critical requirement for both education and applied research. To address this challenge, specialized training and research platforms are being developed that reproduce the distributed electrical and network architecture of contemporary vehicles under controlled laboratory conditions. The article provides a comprehensive review and technical analysis of a modular training installation designed for the study of automotive electronics and computer diagnostics. The platform replicates the structure of a modern on-board electrical system. A wide range of functional capabilities is considered, including measurement and analysis of analog and digital signals, monitoring of CAN commands, decoding of message identifiers, and evaluation of arbitration and fault-handling mechanisms. Attention is given to the controlled simulation of faults, such as open circuits, short circuits, power supply disturbances, and CAN communication failures, allowing systematic investigation of failure propagation and troubleshooting algorithms. Prospects for further development are discussed, including expansion with additional subsystems (engine management, safety systems, climate control), integration of advanced signal analysis tools, and implementation of automated monitoring and data logging solutions. The proposed installation forms a foundation for modern practice-oriented training in automotive electronics and supports experimental research aligned with the principles of digitalization and network-based vehicle architecture. The results confirm the feasibility of employing the developed installation as a universal experimental framework for training specialists and conducting applied research in modern automotive electronic systems.