Automated anomalies detection in the work of industrial robots; IOP Conference Series: Materials Science and Engineering; Vol. 1019 : 14th International Forum on Strategic Technology (IFOST 2019)

Automated anomalies detection in the work of industrial robots; IOP Conference Series: Materials Science and Engineering; Vol. 1019 : 14th International Forum on Strategic Technology (IFOST 2019)

Detalles Bibliográficos
Parent link:IOP Conference Series: Materials Science and Engineering
Vol. 1019 : 14th International Forum on Strategic Technology (IFOST 2019).— 2021.— [012095, 6 p.]
Autor Corporativo: Национальный исследовательский Томский политехнический университет Инженерная школа информационных технологий и робототехники
Otros Autores: Goncharov A. S. Arkady Sergeevich, Savelyev A. O. Aleksey Olegovich, Krinitsyn N., Mikhalevich S. S. Sergey Sergeevich
Sumario:Title screen
This article describes the results of the anomalies automated detection algorithm development in the operation of industrial robots. The development of robotic systems, in particular, industrial robots, and software for them is ahead of the tracking and managing technologies development. The operation of the digital production system involves the generation of a large amount of various data characterizing the state of both the specific equipment and the industrial system as a whole. Such a system produces a sufficient amount of data to develop machine learning models to analyse this data to solve problems such as forecasting and modelling. As part of the study, an experiment was conducted based on the equipment of the laboratory of industrial robots of Tomsk Polytechnic University. In the course of the research, the industrial manipulator moved loads belonging to different classes by weight. An algorithm was developed for the automated analysis of the values of the parameters of the consumed current and the position of the manipulator.
Lenguaje:inglés
Publicado: 2021
Materias:
электронный ресурс
труды учёных ТПУ
алгоритмы
аномалии
автоматическое обнаружение
промышленные роботы
программное обеспечение
машинное обучение
промышленные манипуляторы
Acceso en línea:http://earchive.tpu.ru/handle/11683/64584
https://doi.org/10.1088/1757-899X/1019/1/012095
Formato: Electrónico Capítulo de libro
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=663606

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