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The automated choice of methods and instruments for measuring deviations of arrangement

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Measurement Techniques Aims and scope

The principle of constructing a system for the automated choice of methods and instruments for measuring deviations of arrangement, based on the theory of fuzzy sets and neural networks, is considered.

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Authors and Affiliations

  1. Stankin Moscow State Technological University, Moscow, Russia

    V. I. Teleshevsky, A. V. Glubokov & S. V. Glubokova

Authors
  1. V. I. Teleshevsky
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  2. A. V. Glubokov
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  3. S. V. Glubokova
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Correspondence to V. I. Teleshevsky.

Additional information

Translated from Izmeritel’naya Tekhnika, No. 6, pp. 30–33, June, 2012.

The attention of readers is drawn to this final selection of papers by staff at the Moscow State Technological University STANKIN – the leading university in Russia in the machine-tool instrument and metal processing industry. These papers are devoted to problems of automating the choice of methods and instruments for measuring deviations of arrangement, methods of increasing the productivity of highly accurate portion dosing, measurement of the roughness parameters of surfaces, etc. (For the beginning of this selection see Measurement Techniques, No. 5, 2012).

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Teleshevsky, V.I., Glubokov, A.V. & Glubokova, S.V. The automated choice of methods and instruments for measuring deviations of arrangement. Meas Tech 55, 637–642 (2012). https://doi.org/10.1007/s11018-012-0013-0

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