Szczegóły publikacji
Opis bibliograficzny
Diagnostic approaches for epicyclic gearboxes condition monitoring / Ziemowit DWORAKOWSKI, Adam JABŁOŃSKI, Piotr KIJANKA, Kajetan DZIEDZIECH, Tadeusz UHL // W: EWSHM 2016 [Dokument elektroniczny] : 8th European Workshop on Structural Health Monitoring : 5–8 July 2016, Spain, Bilbao. — Wersja do Windows. — Dane tekstowe. — [Spain : s. n.], [2016]. — e-ISBN: 978-151082793-6. — S. 1–10. — Wymagania systemowe: Adobe Reader. — Tryb dostępu: https://goo.gl/fxhWpH [2016-11-14]. — Bibliogr. s. 10, Abstr.
Autorzy (5)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 101983 |
|---|---|
| Data dodania do BaDAP | 2016-12-13 |
| Rok publikacji | 2016 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Konferencja | 8th European Workshop on Structural Health Monitoring |
Abstract
Since epicyclic gearboxes are broadly employed in mining and wind turbine industry, they are frequently subjected to highly non-stationary operation conditions, with harsh changes of load and input speed. Therefore, epicyclic gearbox diagnostic methods should cover for at least three requirements: - Ability to work under rapidly changing speed and loading conditions, - Ability to work in conditions of low angular speed, - Ability to encompass and identify any faulty component of a gearbox. The most commonly used approach to epicyclic gearbox monitoring is based on acquisition of vibration signatures, due to low equipment cost and typically straightforward data acquisition procedures. Unfortunately, most of vibration signal processing and interpretation algorithms do not fulfill requirements enumerated above. This paper identifies and explains some challenges related to monitoring of epicyclic gear trains and provides concepts and solutions that are used to solve them. Capabilities and limitations of popular methods are addressed. Selected damage detection and identification methods including novelty detection approach and 2D representations of vibration signals are illustrated on the basis of data acquired on industrial gearboxes mounted on wind turbines.
