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Hybrid Vision System for Diagnostics of Technical Objects and Processes

  • Conference paper

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 352))

Abstract

The paper presents a hybrid system for vision diagnostics of technical objects and processes simultaneously in the visible and infrared band. The system consists of a hybrid vision head adapted for use in industrial conditions, control and measurement system and the optional cooling system using compressed air. In order to verify the concept of hybrid method the study was performed on selected objects in the laboratory conditions using the developed system. The next stage was to perform the vision diagnostics of technical process in industrial conditions. By combining the analysis of the images in the two spectral bands additional information about the examined object or technical process can be obtained.

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References

  1. Żółtowski, B., Ćwik, Z.: Academic Publishing House of the Academy of Science and Agriculture, Bydgoszcz (1996) (in Polish)

    Google Scholar 

  2. Żółtowski, B., Niziński, S.: Modeling the operation of machinery. MARKAR-BZ Publishing House, Bydgoszcz – Sulejówek (2002) (in Polish)

    Google Scholar 

  3. Czech, J.: Selected methods and tools for diagnostics of technical objects. Maintenance (1), 8-12 (2011) (in Polish)

    Google Scholar 

  4. Sullivan, G., Pugh, R., Melendez, A., Hunt, W.: Operations & Maintenance Best Practices. A Guide to Achieving Operational Efficiency. Prepared by Pacific Northwest National Laboratory for the Federal Energy Management Program, U.S. Department of Energy (2010)

    Google Scholar 

  5. Minkina, W.: Thermographic Measurements – instruments and methods. Czestochowa University of Technology Publishing House, Częstochowa (2004) (in Polish)

    Google Scholar 

  6. Czajka, P., Mizak, W.: The modular structure of the hybrid vision head for quality inspection in the visible and infrared band. Assembly and Automation Technology (2), 42-47(2012) (in Polish)

    Google Scholar 

  7. Czajka, P., Garbacz, P.: Use of hybrid vision methods for the diagnostics of technical processes. Maintenance Problems (3), 73-85 (2013)

    Google Scholar 

  8. Oliferuk, W.: Infrared thermography in non-destructive testing of materials and devices. Gamma Bureau, Warszawa (2008) (in Polish)

    Google Scholar 

  9. Szczepanik, M., Stabik, J., Wróbel, G., Wierzbicki, Ł.: The use of thermal imaging systems for testing the polymeric materials. Engineering modeling 36, 279-286(2008) (in Polish)

    Google Scholar 

  10. Więcek, B., De Mey, G.: Infrared thermography. Fundamentals and applications. PAK Publishing House, Warszawa (2011) (in Polish)

    Google Scholar 

  11. VarioCAM hr head User’s Manual, InfraTec GmbH (2012), http://www.infratec.eu

  12. Scout GigE User’s Manual, Basler AG (2014), http://www.baslerweb.com

  13. Tydex information materials: Germanium Windows and Lenses for Thermography, http://www.tydexoptics.com

  14. Description of technological process of beer production (in Polish), http://biotechnologia.pl/archiwum/piwo-procesy-technologiczne 10867

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Correspondence to Piotr Czajka .

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© 2015 Springer International Publishing Switzerland

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Czajka, P., Mizak, W. (2015). Hybrid Vision System for Diagnostics of Technical Objects and Processes. In: Szewczyk, R., Zieliński, C., Kaliczyńska, M. (eds) Progress in Automation, Robotics and Measuring Techniques. Advances in Intelligent Systems and Computing, vol 352. Springer, Cham. https://doi.org/10.1007/978-3-319-15835-8_4

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  • DOI: https://doi.org/10.1007/978-3-319-15835-8_4

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-15834-1

  • Online ISBN: 978-3-319-15835-8

  • eBook Packages: EngineeringEngineering (R0)

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