Improving the operation quality of technical systems using information theory models

• Main Authors: Dulesov Aleksander, Karandeev Denis, Dulesova Natalia
• Format: Article
• Language: English
• Published: EDP Sciences 2018-01-01
• Series: MATEC Web of Conferences
• Online Access: https://doi.org/10.1051/matecconf/201822404006

Improving the operation quality of the technical system performance while designing and operating is considered through the application of information theory models. The models are based on the mathematical description of the probabilistic state of system elements and the possibility of determining the information entropy. To implement the model, the role of the stochastic behavior of a technical object is emphasized. This role determines its probability state. The basis for the determining of the entropy of object state based on a series of scientific and conceptual positions, developments of well-known scientists in connection with the problems of realization of physical processes. A mathematical model is proposed, that allows using the classical methods to determine the amount of information entropy and to use it to solve several problems: to choose the first preference structure with less uncertainty; to evaluate the behavior ("aging") of a system; to identify the problem areas of structures for the purpose of timely execution of equipment preventative maintenance; to construct the optimal system structure.