Fault Detection and Identification on Pneumatic Production Machine
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26210%2F22%3APU144499" target="_blank" >RIV/00216305:26210/22:PU144499 - isvavai.cz</a>
Result on the web
<a href="https://www.scopus.com/record/display.uri?eid=2-s2.0-85128757643&origin=resultslist&sort=plf-f&featureToggles=FEATURE_NEW_DOC_DETAILS_EXPORT:1" target="_blank" >https://www.scopus.com/record/display.uri?eid=2-s2.0-85128757643&origin=resultslist&sort=plf-f&featureToggles=FEATURE_NEW_DOC_DETAILS_EXPORT:1</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-98260-7_3" target="_blank" >10.1007/978-3-030-98260-7_3</a>
Alternative languages
Result language
angličtina
Original language name
Fault Detection and Identification on Pneumatic Production Machine
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20204 - Robotics and automatic control
Result continuities
Project
—
Continuities
S - Specificky vyzkum na vysokych skolach<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Modelling and Simulation for Autonomous Systems
ISBN
978-3-030-98260-7
ISSN
1611-3349
e-ISSN
—
Number of pages
22
Pages from-to
39-60
Publisher name
SPRINGER INTERNATIONAL PUBLISHING AG
Place of publication
Virtual, Online
Event location
virtual
Event date
Oct 13, 2021
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000787774900003