Information technology group for diagnosis of induction motors based on spectral features and classification of intellectual

- Купін, А. І. and Кузнецов, Денис Іванович (2016) Information technology group for diagnosis of induction motors based on spectral features and classification of intellectual Project Report. ФО-П Чернявський Д.О., м. Кривий Ріг, Україна.

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Abstract

The book is devoted to the actual scientific problem of development of information technology for group diagnosis of induction motors based on intellectual decision support systems using spectral analysis and machine neural networks following ways: using the method of identification equipment to the mains through the creation of a reference sample of blood pressure and comparing it with the current the use of new vector components of the input parameters for DSS information model, simultaneous en Lease complex spectral noise of the objects and the possibility of monitoring the current state of AD without stopping the process. The book is designed for a wide range of scientists, specialists and graduate students who are interested in using the methods of decision theory, machine learning and parallel computing technologies in problems of technical diagnostics and is useful for teachers and university students on specialties in the field of computer science.

Item Type: Monograph (Project Report)
Keywords: information technology; decision support system; parallel computing; the range-current analysis; and identification
Subjects: Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 00 Prolegomena. Fundamentals of knowledge and culture. Propaedeutics > 004 Computer science and technology. Computing. Data processing > 004.9 ІКТ ( Application-oriented computer-based techniques )
Science and knowledge. Organization. Computer science. Information. Documentation. Librarianship. Institutions. Publications > 6 Applied Sciences. Medicine. Technology > 62 Engineering. Technology in general
Divisions: Information Technologies and Learning Tools > Joint laboratory with SIHE “Kryvyi Rih National University”
Depositing User: зав.лаб.ДН Сергій Миколайович Карачабан
Date Deposited: 25 Apr 2017 20:38
Last Modified: 25 Apr 2017 20:38
URI: http://lib.iitta.gov.ua/id/eprint/706498

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