Open AccessEarly detection of the beginning of a gradual change in properties insulating materials
Author(s) -
V. I. Pavlov,
А. Н. Грибков,
З. М. Селиванова,
O. A. Belousov,
M. P. Belyaev,
И. В. Нагорнова
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1441/1/012074
Subject(s) - materials science , thermal conductivity , change detection , value (mathematics) , computer science , artificial intelligence , composite material , machine learning
Procedure of early detection of a gradual change in insulating materials properties (disorder) is developed on the basis of thermal conductivity degradation under the hostility exposure. In the procedure of Bayesian statement development for early detection of a gradual disorder beside the initial data in which the disorder is searching it is proposed to use the additional information from indicators indirectly proofing a possible disorder. The simulated results showed that the value of delay in the detection of gradual change beginning of thermal conductivity in various insulating materials is reduced by an average of 20% in comparison with the existing procedures. The worked out procedure is meant for implementation in information-measuring systems of materials properties and process characteristics control.