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DOBOSSY, B. FORMÁNEK, M. ŠTASTNÝ, P. SPÁČIL, T.
Original Title
Fault Detection and Identification on Pneumatic Production Machine
Type
conference paper
Language
English
Original Abstract
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.
Keywords
Health monitoring; Fault detection and isolation; Pneumatic cylinder; Production machinery
Authors
DOBOSSY, B.; FORMÁNEK, M.; ŠTASTNÝ, P.; SPÁČIL, T.
Released
5. 5. 2022
Publisher
SPRINGER INTERNATIONAL PUBLISHING AG
Location
Virtual, Online
ISBN
978-3-030-98260-7
Book
Modelling and Simulation for Autonomous Systems
Edition
1
1611-3349
Periodical
Lecture Notes in Computer Science
Year of study
13207
State
Republic of Italy
Pages from
39
Pages to
60
Pages count
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" }