The Operation Monitoring Condition of the Production Machinery and Facilities Using the Tools of Technical Diagnostics

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Technical diagnostics is currently the most important factor of reliability, dealing with forms of disorder manifestation, developing of disorders, their detection and working principles. As tool it has great value in operation and maintenance of facilities. It denotes great interest not only in scientific sphere but also in sphere of results application in the new developing methods and their using in professional practice. Using methods of technical diagnostics taking into account the reliability of measurement results both with new methods IT is one of the main tool for effective management of facilities, elimination of unacceptable conditions and other aspects. The article describes the application of technical and diagnostic tools on workplaces for monitoring behavior of the production machines and facilities.

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105-109

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February 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] J. Novák-Marcinčin, P. Brázda, M. Janák, M. Kočiško, Application of virtual reality technology in simulation of automated workplaces. 2011. In: Tehnički vjesnik. Vol. 18, no. 4 (2011), pp.577-580. ISSN: 1330-3651

Google Scholar

[2] J. Piteľ, Measurement and Diagnostics. Prešov: Technical University of Košice, 2008. 104 p. ISBN: 978-80-553-0128-0.

Google Scholar

[3] R. Kreheľ, Diagnostic system for identifying the operational status of machinery and equipment. 2009. In: Automation. Vol. 52, no. 6 (2009), pp.378-380. - ISSN 0005-125X Method of access: http://www.automatizace.cz/.

Google Scholar

[4] P. Adamčík, J. Murčinko, Z. Murčinková, Elements of vibration diagnostics, 2009. In: Enginneering. Vol. 13, No. 7-8 (2009), p.26. ISSN: 1335-2938.

Google Scholar

[5] M. Kreidl, R. Šmíd, Technical Diagnostics, Praha: BEN Technical Literatur, 2006, 408 p., ISBN: 80-7300-158-6.

Google Scholar

[6] J. Boržíková, J. Mižák, M. Tóthová, K. Židek, Filtering of the Measured Data on the Base of Membership Function. Engineering EXTRA, 2012. Vol. XVI., No. 5/2012, p.9/1 – 9/3. ISSN: 1335-2938.

Google Scholar