Szczegóły publikacji

Opis bibliograficzny

Integration of multidimensional fault diagnostic indicators on the example of rolling element bearings / Marcin STRĄCZKIEWICZ, Tomasz BARSZCZ // Vibroengineering Procedia ; ISSN 2345-0533. — 2015 — vol. 6, s. 127–132. — Bibliogr. s. 132, Abstr. — International conference "Vibroengineering - 2015", Katowice, 14–15 October 2015

Autorzy (2)

Słowa kluczowe

data reductioncondition monitoringfault planefeature integrationrolling element bearing

Dane bibliometryczne

ID BaDAP93739
Data dodania do BaDAP2015-11-16
Rok publikacji2015
Typ publikacjireferat w czasopiśmie
Otwarty dostęptak
Czasopismo/seriaVibroengineering Procedia

Abstract

Diagnostics of rotating machinery relies on examining of many dozens of fault indicators that enable recognition of malfunction symptoms at the earliest stage possible. Unfortunately, in many industrial applications and especially in large machinery parks, the number of diagnostic features to monitor goes beyond the perception capabilities of responsible maintenance personnel. Therefore, there is need for a data reduction techniques that simplify and provide the most important information within the condition monitoring system, starting from a single kinematic element. In this paper it is proposed to employ a simple Euclidean distance that relates the object's condition to the difference between the vibration-based indicators and the initial state. As an example, the authors examine the integration of diagnostic features used to identify localized and extended fault of rolling element bearings for simulated data and real industrial event that occurred at wind turbine's generator bearing. © JVE International Ltd.

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#90642Data dodania: 6.8.2015
The use of a fuzzy logic approach for integration of vibration-based diagnostic features of rolling element bearings / Marcin STRĄCZKIEWICZ, Piotr CZOP, Tomasz BARSZCZ // Journal of Vibroengineering ; ISSN 1392-8716. — 2015 — vol. 17 iss. 4, s. 1760–1768. — Bibliogr. s. 1766–1768, Abstr.
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#112287Data dodania: 28.2.2018
Supervised classification methods in condition monitoring of rolling element bearings / Paweł Różak, Jakub Zieliński, Piotr CZOP, Adam JABŁOŃSKI, Tomasz BARSZCZ, Michał Mareczek // W: Advances in condition monitoring of machinery in non-stationary operations : proceedings of the 5th international conference on Condition Monitoring of Machinery in Non-stationary Operations, CMMNO'2016, 12–16 September 2016, Gliwice, Poland / eds. Anna Timofiejczuk, [et al.]. — Cham : Springer International Publishing, cop. 2018. — (Applied Condition Monitoring ; ISSN 2363-698X ; vol. 9). — ISBN: 978-3-319-61926-2; e-ISBN: 978-3-319-61927-9. — S. 133–145. — Bibliogr. s. 144–145, Abstr. — Publikacja dostępna online od: 2017-09-22