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Cyber-Physical Systems: Advances in Design & Modelling pp 301–312Cite as

Intelligent Technologies in the Diagnostics Using Object’s Visual Images

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Part of the book series: Studies in Systems, Decision and Control ((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.

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Author information

Authors and Affiliations

  1. Samara State Technical University, 244 Molodogvardeyskaya str., Samara, 443100, Russia

    Sergey Orlov & Roman Girin

Authors
  1. Sergey Orlov
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  2. Roman Girin
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Corresponding author

Correspondence to Sergey Orlov .

Editor information

Editors and Affiliations

  1. Volgograd State Technical University, Volgograd, Russia

    Alla G. Kravets

  2. Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russia

    Alexander A. Bolshakov

  3. Volgograd State Technical University, Volgograd, Russia

    Maxim V. Shcherbakov

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Orlov, S., Girin, R. (2020). Intelligent Technologies in the Diagnostics Using Object’s Visual Images. In: Kravets, A., Bolshakov, A., Shcherbakov, M. (eds) Cyber-Physical Systems: Advances in Design & Modelling. Studies in Systems, Decision and Control, vol 259. Springer, Cham. https://doi.org/10.1007/978-3-030-32579-4_24

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  • DOI: https://doi.org/10.1007/978-3-030-32579-4_24

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-32578-7

  • Online ISBN: 978-3-030-32579-4

  • eBook Packages: EngineeringEngineering (R0)

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