In systems of means of transport operation in order to achieve appropriate completion of assigned transportation tasks it is necessary to maintain a required number of means of transport in the state of availability for carrying out of transportation task (roadworthy and stocked). In general, the processes of rendering vehicles roadworthy are connected to supplying them with fuel and operational materials, carrying out services and repairs, condition diagnostics. In the analyzed system of transport means operation, the processes are carried out in serviceability assurance subsystem SAS. In complex operation systems, the processes of rendering technical objects roadworthy are carried out at specifically designed technical infrastructure posts. The possibility of carrying out the assigned service and repair tasks depends on the availability and the number of such posts. The article presents the method of defining the operational availability and the number of technical infrastructure posts required for appropriate functioning of assigned service and repair task. Then typical calculation results are presented in charts prepared on the basis of data obtained from tests at existing transport means operation system.
In order to ensure proper and effective performance of tasks in complex systems of means of transport operation, it is necessary to maintain an appropriate number of buses that are capable of carrying out transport. This is achieved as a result of the implementation of maintenance and repair processes at the stations of the workability assurance subsystem. The ability to perform maintenance and repair tasks assigned to airworthiness assurance subsystems depends on their readiness to drive. Ensuring the required readiness of the tested subsystems is possible by adjusting the number and structure of maintenance and repair stations, adjusting the equipment of these stations in such a way that, if necessary, it is possible to perform specific tasks at various types of stations and the use of devices and tools with high reliability, durability and efficiency. The article presents a description of the method of determining the optimal strategy for controlling the process of exploitation of means of transport with the use of decisionmaking semiMarkov processes. The selection of the optimal (suboptimal) solution is carried out using a genetic algorithm. As a result implementation numerical calculations , a set of solutions in the form of the so-called Pareto front is obtained for the applied criterion functions.
The manuscript presents linear regression models used to predict the amount of energy produced in a wind turbine. As part of the own research, data obtained from the SCADA program for the Enercon E-82 wind turbine was analyzed. It has been shown that it is possible to build a mathematical model to determine the amount of energy generated from the average wind speed. This method can be used to forecast the production volume and balance the energy system. This is important due to the increasing share of renewable energy sources. The application of the developed method in practice will facilitate and accelerate the implementation of the decision-making process in electricity generation systems, while reducing the risk of error. This model can also be used to make wind turbine repowering decisions.
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