Volltext-Downloads (blau) und Frontdoor-Views (grau)
  • search hit 11 of 113
Back to Result List

Detailed Study of Different Degradation Stages of Bearings in a Practical Reference Dataset

  • The often-occurring short-term orders of manufactured products require a high machine availability. This requirement increases the importance of predictive maintenance solutions for bearings used in machines. There are, among others, hybrid solutions that rely on a physical model. For their usage, knowing the different degradation stages of bearings is essential. This research analyzes theThe often-occurring short-term orders of manufactured products require a high machine availability. This requirement increases the importance of predictive maintenance solutions for bearings used in machines. There are, among others, hybrid solutions that rely on a physical model. For their usage, knowing the different degradation stages of bearings is essential. This research analyzes the underlying failure mechanisms of these stages theoretically and in a practical example of the well-known FEMTO dataset used for the IEEE PHM 2012 Data Challenge to provide this knowledge. In addition, it shows for which use cases the usage of low-frequency accelerometers is sufficient. The analysis provides that the degradation stages toward the end of the bearing life can also be detected with low-frequency accelerometers. Further, the importance of high-frequency accelerometers to detect bearing faults in early degradation stages is pointed out. These aspects have not been paid attention to by industry and research until now, despite providing a considerable cost-saving potential.show moreshow less

Export metadata

Additional Services

Search Google Scholar

Statistics

frontdoor_oas
Metadaten
Document Type:Conference Proceeding
Conference Type:Konferenzartikel
Zitierlink: https://opus.hs-offenburg.de/8305
Bibliografische Angaben
Title (English):Detailed Study of Different Degradation Stages of Bearings in a Practical Reference Dataset
Conference:IEEE International Conference on Emerging Technologies and Factory Automation (28. : 12-15 September 2023 : Sinaia, Romania)
Author:Sebastian SchwendemannStaff Member, Andreas Rausch, Axel SikoraStaff MemberORCiDGND
Year of Publication:2023
Date of first Publication:2023/10/12
Publisher:IEEE
First Page:1
Last Page:8
Parent Title (English):2023 IEEE 28th International Conference on Emerging Technologies and Factory Automation (ETFA)
ISBN:979-8-3503-3991-8 (Elektronisch)
ISBN:979-8-3503-3990-1 (USB)
ISBN:979-8-3503-3992-5 (Print on Demand)
ISSN:1946-0759 (Elektronisch)
ISSN:1946-0740 (Print on Demand)
DOI:https://doi.org/10.1109/ETFA54631.2023.10275478
Language:English
Inhaltliche Informationen
Institutes:Forschung / ivESK - Institut für verlässliche Embedded Systems und Kommunikationselektronik
Fakultät Elektrotechnik, Medizintechnik und Informatik (EMI) (ab 04/2019)
Institutes:Bibliografie
Tag:Failure analysis; Manufacturing automation; RUL; accelerometer; bearing; degradation stages; predictive maintenance
Formale Angaben
Relevance:Konferenzbeitrag: h5-Index > 30
Open Access: Closed 
Licence (German):License LogoUrheberrechtlich geschützt