Selection of metrological support of management of complex foundry objects with hardly measurable parameters
DOI:
https://doi.org/10.15587/1729-4061.2014.32420Keywords:
complex systems, metrological support, hardly measurable parameters, Kohonen mapAbstract
It is shown that the parameters of foundry objects are usually hardly measurable, which creates serious metrological problems in the organization of the ACS for such processes. The system of selection of the metrological support, including obtaining the time-space mapping from the object and its convolution to the measurement result based on the classification of the measurement methods using Kohonen neural networks with an open set of classes is proposed.
On the example of sand casting process, the operation of the system of selection of measurement methods for various manufacturing process stages with six-tuple of discrete characteristics of the measurement object at the system input and one of the known methods at the output is shown.
The system provides for the expansion of the known list of measurement methods, thereby determining the direction of the scientific search for researchers-metrologists.
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Copyright (c) 2014 Геннадий Александрович Оборский, Александр Леонидович Становский, Игорь Валентинович Прокопович, Марианна Александровна Духанина
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