Automated anomalies detection in the work of industrial robots
Электронный архив ТПУ
Информация об архиве | Просмотр оригинала| Поле | Значение | |
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Automated anomalies detection in the work of industrial robots
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| Автор |
Goncharov, Arkady
Savelyev, Aleksey Olegovich Krinicin, Nikolay Stanislavovich Mikhalevich, Sergey Sergeevich |
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| Тематика |
industrial robot
data analysis anomaly detection промышленные роботы данные обнаружение роботизированные системы программное обеспечение отслеживание управление манипуляторы |
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| Описание |
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 analyze this data to solve problems such as forecasting and modeling. 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.
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| Дата |
2020-01-23T09:13:05Z
2020-01-23T09:13:05Z 2019 |
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| Тип |
Conference Paper
Published version (info:eu-repo/semantics/publishedVersion) Conference paper (info:eu-repo/semantics/conferencePaper) |
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| Идентификатор |
Automated anomalies detection in the work of industrial robots / A. Goncharov [et al.] // 14th International Forum on Strategic Technology (IFOST-2019), October 14-17, 2019, Tomsk, Russia : [proceedings]. — Tomsk : TPU Publishing House, 2019. — [С. 298-301].
http://earchive.tpu.ru/handle/11683/57470 |
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| Язык |
en
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| Связанные ресурсы |
14th International Forum on Strategic Technology (IFOST-2019), October 14-17, 2019, Tomsk, Russia : [proceedings]. — Tomsk, 2019.
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| Права |
Open access (info:eu-repo/semantics/openAccess)
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