Abstract
Recently, the research in the development of methods and tools for the diagnosis of internal combustion engines is conducted in the direction that determines the use of modern technical and information systems. A significant part of the work associated with the study of internal combustion engines in transitional operating modes. At the same time, it is noted that it is difficult to carry out experimental studies related, as already noted, with the high cost of equipment, its low distribution and high labor costs for conducting experiments, and in some cases with insufficient accuracy of measurement and data processing. High labor costs are associated primarily with the need to install the engine in special stands and the use of special sensors. The systems based on the possibilities of self-diagnosis of an internal combustion engine with an electronic control system do not allow obtaining engine characteristics in the whole range of rotational frequencies, i.e., have low information content. Thus, there is a need to develop a system for diagnosing internal combustion engines, which ensures sufficient accuracy and informational content of experimental studies, has a low cost and low labor costs, and allows investigating the engine in various operating modes.
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Galiullin, L.A., Valiev, R.A. (2020). Development of Hardware-Algorithmic System for ICE Diagnostics. In: Radionov, A., Kravchenko, O., Guzeev, V., Rozhdestvenskiy, Y. (eds) Proceedings of the 5th International Conference on Industrial Engineering (ICIE 2019). ICIE 2019. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-22063-1_49
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