Authors: Vladimir Viktorovich Voronin; Oleg Andreevich Davydov
Addresses: School of Automation and Informational Technologies, Pacific National University, Khabarovsk, Russia ' School of Automation and Informational Technologies, Pacific National University, Khabarovsk, Russia
Abstract: While operating, repair and reconstruction works, maintaining particular level of technical objects' reliability, are carried out. Diagnostic systems are expected to be involved in these activities. As there are a great variety of technical objects available nowadays, diagnostic systems are based on wide variety of principles. Among them neural network technology and expert system technology are the most multi-purpose. A number of particular problems, expected to be solved in developing of diagnostic systems based on technologies mentioned above, is considered in these article; namely: rationing of diagnostic indicators, creating of general purpose functional framework for evaluating particular parameters, developing of neural functional network diagnostic system, developing of two fragments of conceptual diagnostic model, describing diagnostic context and diagnostic parameters in expert system database.
Keywords: technical object of diagnosis; diagnostic parameters; neural network technology; diagnostic system.
International Journal of Energy Technology and Policy, 2019 Vol.15 No.2/3, pp.166 - 179
Received: 06 Oct 2017
Accepted: 16 Jan 2018
Published online: 04 Mar 2019 *