Expert-probabilistic prognostication of production process qualitative index of radiation bioengineering recorders

Authors

DOI:

https://doi.org/10.15587/2312-8372.2015.37106

Keywords:

Bayesian approach, quality improvement, radiation recorders, bioengineered products

Abstract

Extension of the fields of application and increasing the content of radioactive isotopes in the biosphere, as well as changes in their qualitative composition, increase the risk of radioactive contamination of the human environment and have an adverse impact on life processes. Extremely important the pollution control of environment by radioactive substances in the general system of nature protection and development of high-quality technical resources for its implementation. The main elements of dosimetry equipment and other means of measuring ionizing radiation in nuclear power engineering and biomedicine, with which this control is carried out, are detectors that generate certain signals, which detect and characterize parameters of ionizing radiation. The sensitivity of the measurements, as well as most of the accuracy characteristics of the detectors to a large extent depend on the excellence of their design, quality manufacturing and operating modes. Therefore, the use of Bayesian methods is an urgent task for classification, regression forecasting and recovery required for operating of probabilistic characteristics of quality assurance in the actual processes of production.

The article discusses aspects of the application of Bayes' theorem on the conditional probability of certain events for a given probability of another event to address improving quality indicators in the production of bioengineered destination and particularly recorders of ionizing radiation.

Author Biographies

Сергей Николаевич Лавриненко, National Technical University «Kharkiv Polytechnic Institute», Frunze Street 21, Kharkiv, 61002

Doctor of Technical Sciences, Professor

Department of Information Technology and Systems of wheeled and tracked vehicles

Елена Евгеньевна Запорожченко, National Metallurgical Academy of Ukraine, Gagarina avenue, 4, Dnipropetrovsk, 49600

Candidate of Physical and Mathematics, Associate Professor

Department of Higher Mathematics

Марина Сергеевна Сазонова, National Metallurgical Academy of Ukraine, Gagarina avenue, 4, Dnipropetrovsk, 49600

Candidate of Physical and Mathematics, Associate Professor

Department of Applied Mathematics and Computer Engineering

Олег Сергеевич Лавриненко, National Technical University «Kharkiv Polytechnic Institute», Frunze Street 21, Kharkiv, 61002

Postgraduate

Department of Computer Science and Programming

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Published

2015-01-29

How to Cite

Лавриненко, С. Н., Запорожченко, Е. Е., Сазонова, М. С., & Лавриненко, О. С. (2015). Expert-probabilistic prognostication of production process qualitative index of radiation bioengineering recorders. Technology Audit and Production Reserves, 1(3(21), 32–36. https://doi.org/10.15587/2312-8372.2015.37106

Issue

Vol. 1 No. 3(21) (2015): Mathematical modeling. Systems and control processes. Information and control systems

Section

Systems and Control Processes: Original Research

License

Copyright (c) 2016 Сергей Николаевич Лавриненко, Елена Евгеньевна Запорожченко, Марина Сергеевна Сазонова, Олег Сергеевич Лавриненко

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