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Rationale for the Machine Complex Performance

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Networked Control Systems for Connected and Automated Vehicles (NN 2022)

Abstract

While analyzing the hydro-transport complexes operation, the data on the working time losses duration in real working conditions have been collected. The logical and mathematical processing of the statistical information is accomplished. The parameters of working time losses caused by: dredger malfunction; power outrage; dredger moving; anchor relaying; professional repair; other reasons; work on the map; work on the main pipeline; work on the floating pipeline; repair of auxiliary equipment; maintenance of the dredger; and dredger cleaning are studied. To estimate the significance of factors, it was proposed to use the model of the coefficient of complexes’ use in terms of time. This model enables assessment of significance of indices of complexes, kits and separate machines under any operation conditions. This will make it possible to predict the duration and cost of production at the design stage. The article determines the indicators of hydro transport complexes operation losses. A comprehensive assessment of the dredge operation in real production conditions is considered using the indicators of loss of working time, which makes it possible to predict their performance. More precise definition of working time under real conditions will allow planning rhythmical equipment operation with more substantiation and decreasing operation cost of machines. A method for assessing the losses of working time of systems, complexes, sets, individual machines, and devices is proposed.

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Correspondence to Sergey Kuznetsov .

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Kuznetsov, S., Bogomolova, K., Shipilova, N. (2023). Rationale for the Machine Complex Performance. In: Guda, A. (eds) Networked Control Systems for Connected and Automated Vehicles. NN 2022. Lecture Notes in Networks and Systems, vol 510. Springer, Cham. https://doi.org/10.1007/978-3-031-11051-1_9

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