Тип публикации: статья из журнала
Год издания: 2021
Идентификатор DOI: 10.3390/s21124199
Ключевые слова: artificial neural networks, induction brazing, industrial sensors, intelligent technologies, measurements reliability, non‐contact temperature measurement, pyrometers, waveguide paths
Аннотация: In industries that implement the technology of induction soldering, various sensors, including non‐contact pyrometric ones, are widely used to control the technological process. The use of this type of sensor implies the need to choose a solution that is effective in different operating conditions in terms of the accuracy of the daПоказать полностьюta obtained and the reliability of the measurement equipment and duplication in case of a failure. The present article discusses the development of intelligent technology based on a collection of artificial neural networks, which allows a number of problems associated with technological process control when using pyrometric sensors to be solved: assessing the quality of measurements, correcting measurements when non‐standard errors are detected, and controlling the process of induction heating in the absence of reliable readings of the measurement instruments. The collection of artificial neural networks is self‐configuring with the use of multicriterion genetic algorithms. The use of the proposed intelligent technology made it possible to improve the control quality of the technological process of the induction brazing of waveguide paths of spacecraft: the overregulation was decreased from 0–20 to 0, and the difference in the heating temperatures of the elements of the brazed waveguide assembly was decreased from 20–100 to 0–10. In addition, the overall process duration decreased and became more stable. When using the classical control technology, the time varied in the range of 20–60 s; when using the proposed technology, it stabilized in the range of 30–35 s. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
Журнал: Sensors
Выпуск журнала: Vol. 21, Is. 12
Номера страниц: 4199
ISSN журнала: 14248220
Издатель: MDPI AG