Estimating the safety and reliability of the control system of a locomotive with machine vision
https://doi.org/10.21683/1729-2646-2023-23-1-30-37
Abstract
Abstract. Aim. The paper aims to evaluate the indicators of safety and reliability of the MALS suite of technology that ensures the control of locomotives. Increased indicators are achieved through the use of additional controls. As such, a second virtual channel is proposed. The latter allows detecting MALS failures without affecting the shunting engine control algorithms.
Methods. The paper uses the graph method. Using a modified topological semi-Markov method, formulas were deduced for calculating the mean time to failure and the safety factor.
Results. The paper individually examines the mean time of the automatic train operation system of a shunting engine remaining in at least SIL3 and mean time to hazardous failure. The authors research the dependence of the above indicators on the failure rate of the MALS equipment and the machine vision. Using the graph method, the level of the system’s functional safety was evaluated by calculating the safety factor and the danger factor. The dependence of the above factors on the system recovery time and probability of detection of component failures was examined.
About the Authors
I. B. Shubinsky
JSC NIIAS
Russian Federation
Russian Federation
Igor B. Shubinsky, Professor, Doctor of Engineering,
Deputy Director of Integrated Research and Development Unit
Moscow
E. N. Rozenberg
JSC NIIAS
Russian Federation
Russian Federation
Efm N. Rozenberg, Professor, Doctor of Engineering,
First Deputy Director General
Moscow
I. A. Panfiorov
JSC NIIAS
Russian Federation
Russian Federation
Igor A. Panforov, Head of Unit for Train Separation
Systems
Moscow
N. A. Boyarinova
JSC NIIAS
Russian Federation
Russian Federation
Natalia A. Boyarinova, chief specialist, Centre for Safety
and Algorithmic Support
Moscow
A. I. Kuzmin
JSC NIIAS
Russian Federation
Russian Federation
Andrey I. Kuzmin, Deputy Head of Division for the
Development of Train Separation Systems
Moscow
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Review
For citations:
Shubinsky I.B., Rozenberg E.N., Panfiorov I.A., Boyarinova N.A., Kuzmin A.I. Estimating the safety and reliability of the control system of a locomotive with machine vision. Dependability. 2023;23(1):30-37. (In Russ.) https://doi.org/10.21683/1729-2646-2023-23-1-30-37
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ISSN 1729-2646 (Print)
ISSN 2500-3909 (Online)
ISSN 2500-3909 (Online)
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