Fractional Controlling System of an Autonomous Locomotive Multifuel Engine

Ivaschenko, Anton; Avsievich, Vladimir; Avsievich, Alexandr

doi:10.1109/icps48405.2020.9274715

Cited by 3 publications

(1 citation statement)

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“…One popular solution considers the modernization of diesel engines by introducing new types of fuel [21][22][23][24][25]. The resulting dual-fuel or multi-fuel engines require new control systems that involve a stack of modern microcomputing and control technologies [26][27][28][29].…”

Section: State Of the Artmentioning

confidence: 99%

Indirect Fuel Rationing for a Special Self-Propelled Rolling Stock

et al. 2022

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A method of indirect rationing of diesel fuel for special self-propelled rolling stock is presented, based on the identification of actual fuel consumption and controlled operating modes. Based on the results of test trips using automated accounting systems for operating modes and fuel consumption, the method allows us to assess reasonable volumes of fuel consumption in a specific section of the railway infrastructure. We show how the methods of identifying actual fuel consumption and operating modes can establish consumption rates of special self-propelled rolling stock without the use of automated fuel metering. The identification method is based on solving a multifactorial equation, the coefficients of which are determined in a program with statistical functions. To eliminate multicollinearity problems, the use of cluster analysis methods is proposed. Unlike traditional calculation methods, the method allows for the determination of the norming indicators in conditions of incomplete and partially incorrect data. The study was conducted using data on fuel consumption of special self-propelled rolling stock at a particular railway range and the relevant regulatory documents provided by Russian Railways. The results were obtained by applying the method to special self-propelled rolling stock used in the electrification and railway track departments of Russian Railways. The proposed method allows for simulation of the indicator of normalized fuel consumption with an accuracy not worse than 96%. Based on the obtained model of normalized fuel consumption, the method and parameters for identifying abnormal and unauthorized fuel overconsumption are shown. The criteria for identifying abnormal fuel overconsumption using the normalized standard deviation function were determined.

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