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Software Implementation Methodology of Intelligent Information Systems of Learning and Knowledge Control (IISLKC) Read chapter Read first chapter

2016 | OriginalPaper | Chapter

Models for Indicating the Period of Failure of Industrial Objects

Authors : T. A. Aliev, N. F. Musaeva, O. Q. Nusratov, A. G. Rzayev, U. E. Sattarova

Published in: Recent Developments and New Direction in Soft-Computing Foundations and Applications

Publisher: Springer International Publishing

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Abstract

We propose a technology for calculating robust correlation matrices and robust normalized correlation matrices to indicate the beginning of the latent period of the emergency state of technological objects. For the same purpose, we also propose a technology for calculating estimates of characteristics of noise and useful signal, which assumes zero values in the normal state. Sets of informative attributes are formed from them in monitoring systems for industrial objects; while the object is in service, the number and value of the nonzero element are used to determine the location and nature of failure.

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previous chapter A Comparative Study of Membership Functions for an Interval Type-2 Fuzzy System Used for Dynamic Parameter Adaptation in Particle Swarm Optimization
next chapter Optimization of an Integrator to Control the Flight of an Airplane
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Metadata
Title
Models for Indicating the Period of Failure of Industrial Objects
Authors
T. A. Aliev
N. F. Musaeva
O. Q. Nusratov
A. G. Rzayev
U. E. Sattarova
Copyright Year
2016
Book
Recent Developments and New Direction in Soft-Computing Foundations and Applications

Print ISBN: 978-3-319-32227-8

Electronic ISBN: 978-3-319-32229-2

Copyright Year: 2016

DOI
https://doi.org/10.1007/978-3-319-32229-2_27

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