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DOBOSSY, B. FORMÁNEK, M. ŠTASTNÝ, P. SPÁČIL, T.
Originální název
Fault Detection and Identification on Pneumatic Production Machine
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
Pneumatic cylinders have become integral parts of today's production machinery. In the age of just-in-time inventory system and with it the related production process, new, increased requirements were introduced. As a result, even the smallest fault in the system can lead to degradation in the product's quality in addition to this it can cause unplanned downtime leading to delays in production, not to mention higher costs. The availability of cheap sensors, big data, and algorithms from the field of predictive maintenance made the aforementioned problem tractable. This paper examines whether signal-based condition indicators provide commercially viable and affordable basis for development of a health monitoring system for pneumatic actuator-based production machinery. The experiments and their results presented in this paper served two objectives. The first was to examine if faults on such equipment can be detected. The second was to identify the best combination of sensors, which are able to detect and identify fault with required accuracy. The evaluation of the sensors was not solely based on fault detection capabilities, but other practical aspects (price and durability of the sensors) were also taken into account.
Klíčová slova
Health monitoring; Fault detection and isolation; Pneumatic cylinder; Production machinery
Autoři
DOBOSSY, B.; FORMÁNEK, M.; ŠTASTNÝ, P.; SPÁČIL, T.
Vydáno
5. 5. 2022
Nakladatel
SPRINGER INTERNATIONAL PUBLISHING AG
Místo
Virtual, Online
ISBN
978-3-030-98260-7
Kniha
Modelling and Simulation for Autonomous Systems
Edice
1
ISSN
1611-3349
Periodikum
Lecture Notes in Computer Science
Ročník
13207
Stát
Italská republika
Strany od
39
Strany do
60
Strany počet
22
URL
https://www.scopus.com/record/display.uri?eid=2-s2.0-85128757643&origin=resultslist&sort=plf-f&featureToggles=FEATURE_NEW_DOC_DETAILS_EXPORT:1
BibTex
@inproceedings{BUT177829, author="Barnabás {Dobossy} and Martin {Formánek} and Petr {Štastný} and Tomáš {Spáčil}", title="Fault Detection and Identification on Pneumatic Production Machine", booktitle="Modelling and Simulation for Autonomous Systems", year="2022", series="1", journal="Lecture Notes in Computer Science", volume="13207", pages="39--60", publisher="SPRINGER INTERNATIONAL PUBLISHING AG", address="Virtual, Online", doi="10.1007/978-3-030-98260-7\{_}3", isbn="978-3-030-98260-7", issn="1611-3349", url="https://www.scopus.com/record/display.uri?eid=2-s2.0-85128757643&origin=resultslist&sort=plf-f&featureToggles=FEATURE_NEW_DOC_DETAILS_EXPORT:1" }