doi 10.18503/2311-8318-2016-1(30)-39-44
Abstract
The article is concerned with design of efficient and reliable systems of on-line control of electric motors for electric gas-compressor plants. The authors describe the architecture and methodology of artificial neural networks aimed at developing predictive models for megawatt electrical machines and the analysis results of the anticipated states of the units for bulk gas transport.
Keywords
Electric compressor plants, gas compressor units, megawatt electric motors, artificial neural networks, tests of selected networks, fuzzy Box-Jenkins model, method of spectral components dynamics analysis, prediction of current value and stator temperature.
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