Prevention of critical events combination in robotic welding

Rezchikov, A. F.; Kushnikov, V. A.; Ivashchenko, V. A.; Fominykh, D. S.; Bogomolov, A. S.; Filimonyuk, L. Yu.

doi:10.3103/s105261881704015x

Cited by 11 publications

(2 citation statements)

References 7 publications

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“…Fires often lead to injuries and casualties among people [1]. In this regard, it is important to predict dangerous fire factors and to adopt preemptive solutions to eliminate fire hazards [2,3]. However, it is not possible to exclude fire hazards completely.…”

Section: Introductionmentioning

confidence: 99%

Fire and Heat Spreading Model Based on Cellular Automata Theory

Samartsev

Rezchikov

Kushnikov

et al. 2018

J. Phys.: Conf. Ser.

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Abstract. The distinctive feature of the proposed fire and heat spreading model in premises is the reduction of the computational complexity due to the use of the theory of cellular automata with probability rules of behavior. The possibilities and prospects of using this model in practice are noted. The proposed model has a simple mechanism of integration with agentbased evacuation models. The joint use of these models could improve floor plans and reduce the time of evacuation from premises during fires.

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Section: Introductionmentioning

confidence: 99%

Fire and Heat Spreading Model Based on Cellular Automata Theory

Samartsev

Rezchikov

Kushnikov

et al. 2018

J. Phys.: Conf. Ser.

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“…The lack of control at any stage, for example, due to a deviation in the welding parameters or a insufficient of QC inspectors increases the risk of defective products. Now various systems of quality control of welding in RTC are developed and applied [1][2][3][4][5][6]. Mostly they decide the problem of compliance with the welding parameters and the accuracy of positioning of the welding torch.…”

Section: Introductionmentioning

confidence: 99%

Prevention unstable conditions in the welding process via robotic technological complexes

2018

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The article presents the statement of the problem, models and algorithms for controlling the welding process via robotic technological complexes in conditions of the risk of unstable states. The system dynamics model was used to describe the technological process. As system levels the basic indicators influencing quality of the made production chosen on the basis of experience of operation of the robotic technological complexes are taken. Functional dependences between indicators and their dependences on external factors are determined by approximation of statistical data. The procedure of identification of unstable states for the mathematical model on the example of the Rossler's attractor is developed. An algorithm for preventing the system from falling into unstable states in the process control is proposed

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