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Intelligent Technologies in the Diagnostics Using Object’s Visual Images

  • Sergey OrlovEmail author
  • Roman Girin
Chapter
Part of the Studies in Systems, Decision and Control book series (SSDC, volume 259)

Abstract

The problem of complex industrial equipment diagnostics using images in different spectral ranges is considered. An intelligent method for technical states classification according to images of a control object is proposed. Considered a neural network analyzer designed as a two-branch neural network. Convolutional neural network processes simultaneously three object’s images obtained in the visual, ultraviolet and infrared bands. The properties of the dataset for learning the neural network are investigated using the dimensionality reduction methods. Examples of the developed method and the neural network analyzer application for monitoring various industrial facilities are given.

Keywords

Technical diagnostics Artificial neural network Deep learning Infrared thermography Ultraviolet light inspection 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Samara State Technical UniversitySamaraRussia

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