Evaluation to determine the efficiency for the diagnosis search formation method of failures in automated systems

Syrotkina, Olena; Alekseyev, M; Aleksieiev, Oleksii

doi:10.15587/1729-4061.2017.108454

Cited by 3 publications

(1 citation statement)

References 7 publications

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“…First, let us consider the station for diagnosing and repair ing the traction battery as a multichannel system with failures (the classical Erlang problem) [18,19], which contains n ser vice posts, and find the limiting probabilities of the states of the system, as well as indicators of its efficiency, among which: A is absolute QS pass rate; Q is relative QS pass rate, that is, an av erage share of applications received and serviced by the system; P rej is the probability of a refusal, that is, that the application will arrive, but will leave the system without providing it with the service; k is the average number of occupied channels.…”

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confidence: 99%

On determining productive capacity of EV traction battery repair area

Koriashkina¹,

Deryugin²,

Fedoriachenko³

et al. 2019

NVNGU

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Purpose. To ensure the effective functioning of the area for diagnosis and repair of tractive electric vehicle (EV) battery by determining the technical and economic indicators of the production capacity of the enterprise. Methodology. Modelling the process of repairing section of the EV traction battery is performed using the main principles of the queuing system, the graph theory. While calculating the probabilitytime characteristics and determining the production ca pacity of the site, the methods of mathematical statistics and probability theory were involved. findings. With the use of systematic approach, the EV market in Ukraine and the dynamics of the demand over the past three years have been studied. There was collected and analyzed information about issues related to the EV operation, and the most common ones were identified. Empirically, there was obtained an estimate for the duration of the process of repairing and replac ing the EV traction battery, as well as the cost of basic operations. The battery repair section of the traction battery is represented as a multichannel queuing system, assuming that the flow of applications for diagnosing and repair is Poisson's flow, and the ran dom process is Markovian. The problem of rational organization of the EV traction battery repair site has been solved by determin ing the minimum number of repair posts, at which the queue will not grow indefinitely (if customers can wait for their service for a long time and do not leave the queue). The number of repair posts was estimated for the traction battery, which in the existing conditions will allow organizing technical customer service effectively, minimizing the total economic losses from downtime of process equipment and refusals of applications for repairs. originality. The use of models and methods of the queuing system for the calculation of technical and economic indicators of the production capacity of the traction battery repair section allowed taking into account the stochastic nature of the needs for repaire, and determining the optimal values of those characteristics that ensure the efficient performance of the EV repair section. Practical value. The proposed method for determining the production capacity of the repair section of traction battery is used in solving problems related to the selection and rational placement of technological equipment when designing or upgrading a workshop.

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confidence: 99%