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INTELLIGENT METHOD OF SYSTEM STATE RECOGNITION IN TECHNICAL DIAGNOSTIC
Abstract
Technical diagnostics is a science discipline that provides sufficient scope for different scientific methods and approaches. Objects of technical diagnostics are simpler or more complex technical devices. The purpose of technical diagnostics is to provide a sufficiently accurate estimate of the state of the technical equipment, which is of importance in their maintenance. In this regard, some modern sophisticated methods, based on artificial intelligence, are offered. A system approach is of major importance in technical diagnostics. This paper discusses the possibilities and uses of the vector quantization method. For this method, there is an important state space of the system or vector metric space. In literature, it is ranked among neural network methods. This method allows, based on the measurement of an appropriate set of status variables of the device to recognize the state closest to it from the previously defined possible states. In this way, the recognized status of the device can be linked to the corresponding maintenance operation and effective control. The proposed method is based on the continuous evaluation of the measured variables classified into the appropriate class.
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Shreedharan S., Hegde C., Sharma S., Vardhan H., Acoustic fingerprinting for rock identification during drilling, In: International Journal of Mining and Mineral Engineering, vol. 5/ issue 2, pp. 89–105, 2014.
Zhang P., Su Q., Li C., Wang T., An economically designed sequential probability ratio test control chart for short-run production, In: Computers & Industrial Engineering, vol. 78, pp. 74-83, 2014.
Frigo M., Johnson S. G., Fftw: An adaptive software architecture for the fft, In: Proceedings of the International Conference on Acoustics, Speech, and Signal Processing, vol. 3, pp.1381–1384, 1998.
Liptai P., Moravec M., Badida M., Research of possibilities of using the recycled materials based on rubber and textiles combined with vermiculite material in the area of noise reduction, In: Advanced Materials Research, vol. 1001, pp.171–176, 2014.
Jurko J., Džupon M., Panda A., Gajdoš M., Pandová I., Deformation of material under the machined surface in the manufacture of drilling holes in austenitic stainless steel, In: Chemické listy, vol. 105/ issue 16, pp. 600–602, 2011.
Prislupčák M., Panda A., Jančík M., Pandová I., Orendáč P., Krenický T., Diagnostic and Experimental Valuation on Progressive Machining unit, In: Applied Mechanics and Materials, Trans Tech Publications, vol. 616, pp. 191-199, 2014.
Panda A., Duplak J., Jurko J., Behun M., New experimental expression of durability dependence for ceramic cutting tool, In: Applied Mechanics and Materials, Trans Tech Publications, vol. 275-277, pp.2230-2236, 2013.
Alehossein H., Hood M., An application of linearised dimensional analysis to rock cutting, In: International Journal of Rock Mechanics and Mining Sciences, vol. 36/ issue 5, pp. 701-709, 1999.
Kahraman S., Balci C., Yazici S., Bilgin N., Prediction of the penetration rate of rotary blast hole drills using a new drillability index, In: International Journal of Rock Mechanics and Mining Sciences, vol. 37/ issue 5, pp. 729-743, 2000.
Li Z., Itakura K.-I., Ma, Y., Survey of measurement-while-drilling technology for small-diameter drilling machines, In: Electronic Journal of Geotechnical Engineering, vol. 19/ issue 2, pp.10267–10282, 2014.
Wittenberger G., Cehlar M., Jurkasova Z., Deep hole drilling modern disintegration technologies in process of HDR technology, In: Acta Montanistica Slovaca, vol. 17/ issue 4, pp. 241–246, 2012.
Flegner P., Kačur J., Durdán M., Laciak M., Leššo I., Measurement and processing of vibro-acoustic signal from the process of rock disintegration by rotary drilling, In: Measurement, vol. 56, pp. 178–193, 2014.
Flegner P., Kačur J., Durdán M., Laciak M., Stehlíková B., Pástor M., Significant damages of core diamond bits in the process of rocks drilling, In: Engineering Failure Analysis, vol. 59, pp. 354-365, 2016.
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