Modeling of the Technological Process for Metal Production using a Probability Finite Automatic Machine
Korneev A.M.1, Sukhanov A.V.2, Abdullah L.S.3, Shipulin I.A.4
1Korneev A.M.*, Lipetsk State Technical University
2Sukhanov A.V., Lipetsk State Technical University
3Abdullah L.S., Lipetsk State Technical University
4Shipulin I.A. Lipetsk State Technical University
Manuscript received on October 12, 2019. | Revised Manuscript received on 22 October, 2019. | Manuscript published on November 10, 2019. | PP: 5391-5394 | Volume-9 Issue-1, November 2019. | Retrieval Number: A8110119119/2019©BEIESP | DOI: 10.35940/ijitee.A8110.119119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: To date, the popularity of areas such as system management and the development of automated control systems using finite state machines has grown significantly, while the degree of mutual integration of these areas is quite high. So, in each of them the creation of decision-making systems and software systems of intellectual support is required. And the most frequently used tool for this in modern research and scientific projects is state machines – finite discrete or probabilistic automata, although they often do not allow the creation of decision-making systems quite efficient without large labor costs. The subject of this study is to create a probabilistic finite state machine capable of accurately predicting the properties of alloys, and thereby provide intelligent decision support in the process of manufacturing metal products.
Keywords: Finite State Machine, Probabilistic Automaton, Discrete Automaton, Transition Matrix, Technological Process, Technological Circuit Cell.
Scope of the Article: Production