Soft Sensors on the basis of Bayesian Intelligent Technologies
Abstract
The relevance of creating soft sensors for a wide range of practical tasks is confirmed by examples of their use in various fields of activity. The most important issue in this case is the development of an effective methodology for their creation, focused on the functioning of sensors in real practical conditions, most often accompanied by significant information uncertainty. The presentation notes that not enough attention is paid to the development of the theory of the construction of electronic sensors, as well as their metrological support by developers. As a methodology for creating soft sensors for conditions of information uncertainty, it is proposed in the presentation a methodology of the regularizing Bayesian approach and technologies based on it. The effectiveness of the proposed approach is confirmed by the practice of its application for the creation of soft sensors, examples of which are given.
Short Biography
Dr. Svetlana Prokopchina is a professor of Moscow State University and Financial University of Government of Russian Federation. She is an academician of the International Academy of Informatization, International Academy of Ecology and Life Safety Sciences, International metrological Academy, Russian ecological Academy, International Academy of information processes and technologies. Since 2001 Dr. Prokopchina ia a member of the Board of Directors of 'ROSNEFTEGAZSTROY'. She is a president of the interregional scientific public Association «Scientists for ecology» (since 1992). Dr. Prokopchina is the author of about 250 scientific papers and 11 monographs. Specializes in the field of fundamental and applied works of Measurement Science and Artificial Intelligence. Main directions of scientific researches are Bayesian Intelligent Technologies and Measurement for the creation of monitoring systems, audit, management decision-making, risk management, classification of objects and situations, intelligent geoinformation systems, socio-economic systems in conditions of significant information uncertainty. Dr. Prokopchina S. V. was awarded with state awards, has the gratitude of the Ministry of science and education of the Russian Federation. She is an international expert of the UNECE Energy Commission on information systems, energy and natural resources. Since 1998 she has co-chaired the annual International conference on Soft Computing and Measurement (SCM). Since 2017 Dr. Prokopchina is the editor-in-chief of the scientific journal 'Soft measurements and computing'. Since 1990 she has been managing international and Russian projects on creation of systems for monitoring and management of complex systems, support for management decisions, environmental protection, management of specially protected natural areas, maintenance of inventories of natural resources, as well as information- analytical centers for industrial enterprises, agro-industrial systems, energy systems and networks, oil and gas systems.