Russian Federation
Russian Federation
Russian Federation
UDC 504.3.054
The relevance of this study is determined by the need to improve methods for monitoring the technical condition of diesel engines to minimize their negative environmental impact. The aim of the work is to substantiate the diagnostic parameters for diesel power units that ensure a reduction in greenhouse gas emissions, considering the probabilistic nature of the external load. The theoretical foundation comprises methods of functional transformation of random variables, which allow assessing the influence of stochastic load fluctuations on engine output parameters, as well as a methodology for calculating greenhouse gas emissions based on fuel consumption data. Experimental studies were conducted on KamAZ-43114 engines. Quantitative values of correction coefficients for the transition from operational tolerances to diagnostic tolerances were established for various levels of load unevenness: from 0,351–0,353 under weak fluctuations to 0,602–0,64 under high unevenness. The application of these coefficients ensures a reduction in the error of monitoring functional parameters by 10–24 %. A correlation was revealed between the variance of the power process and engine operating stability, which made it possible to determine diagnostic modes corresponding to the minimum variability of parameters: for a 10-ton capacity engine – 17,6 m/s (63,4 km/h), for a 16-ton capacity engine — 17,5 m/s (63,0 km/h). Implementing these modes during diagnostics not only increases its reliability but also indirectly helps reduce the carbon footprint of the operated equipment. It is shown that stabilizing the operating cycle in optimal modes creates the potential to reduce CO₂ emissions by 1,55 times compared to the most unstable modes. The scientific novelty lies in establishing the interrelation between the probabilistic characteristics of the external load, engine operating stability, and its environmental performance. The obtained results can be used in the development of maintenance regulations, the creation of automated control systems, and in assessing the carbon footprint of automotive and tractor machinery.
diesel engine, diagnostics, environmental performance, greenhouse gas emissions, speed mode, correction coefficients
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