Key words
reliability, safety, risk, simulation models, technical state, information technology, artificial intelligence, selforganization, informatics.
articles
Authors:
Berman A., Nikolaychuk O., Pavlov A., Yurin A. Published in
№ 1(67)
27 february 2017 year
Rubric: Automated control systems
Rubric: Automated control systems
Provision the reliability and safety of chemical and petrochemical manufactures with the aid of methods of informatics and artificial intelligence
The paper presents the models and methods for creation and application of hybrid intelligent systems,
providing solvingthe unformalized multidisciplinary problems in the field of the reliability and
safety of chemical and petrochemical manufactures in terms of processing large volumes of information.
The self-organizing algorithm based on parameters of the order and cybernetic control circuits
is proposed. The algorithm allows forming the structure and functions of the decision-making system
when obtaining the information that is not presented in the models.
An aggregate simulation model for a description of the equipments investigated is presented. The
feature of the model is the use of analytical models to determine continuous changes of the technical
conditions, and methods of artificial intelligence for discrete changes. The self-organizing algorithm
and simulation gives opportunity to solve inter-and multidisciplinary problems on the basis of aggregation
of goals and objectives of specialists of different scientific fields, and an adequate exchange of
information among them on the decisions made and the results achieved in various stages of investigation.
Integration of knowledge and increased the effectiveness of decision making in the field of
the failure risk reduction are the main result of the joint application of the self-organizing algorithm
and simulation.
The author:
Berman A.
Degree:
Dr of Technique, Professor, Matrosov Institute for System Dynamics and Control Theory of Siberian Branch of Russian Academy of Sciences (FASO)
Location:
Irkutsk
All articles:
The author:
Nikolaychuk O.
Degree:
Dr of Technique, Associate Professor, atrosov Institute for System Dynamics and Control Theory of Siberian Branch of Russian Academy of Sciences (FASO)
Location:
Irkutsk
All articles:
The author:
Pavlov A.
Degree:
PhD of Technique, Associate Professor, Matrosov Institute for System Dynamics and Control Theory of Siberian Branch of Russian Academy of Sciences (FASO)
Location:
Irkutsk
All articles:
The author:
Yurin A.
Degree:
PhD of Technique, Associate Professor, Institute for System Dynamics and Control Theory of Siberian Branch of Russian Academy of Sciences (FASO)
Location:
Irkutsk
