Development and trend of condition monitoring and fault diagnosis of multi-sensors information fusion for rolling bearings : a review

dc.contributor.authorDuan, Zhihe
dc.contributor.authorWu, Tonghai
dc.contributor.authorGuo, Shuaiwei
dc.contributor.authorShao, Tao
dc.contributor.authorMalekian, Reza
dc.contributor.authorLi, Zhixiong
dc.date.accessioned2018-08-06T10:25:42Z
dc.date.issued2018-04
dc.description.abstractA rolling bearing is an essential component of a rotating mechanical transmission system. Its performance and quality directly affects the life and reliability of machinery. Bearings’ performance and reliability need high requirements because of a more complex and poor working conditions of bearings. A bearing with high reliability reduces equipment operation accidents and equipment maintenance costs and achieves condition-based maintenance. First in this paper, the development of technology of the main individual physical condition monitoring and fault diagnosis of rolling bearings are introduced, then the fault diagnosis technology of multi-sensors information fusion is introduced, and finally, the advantages, disadvantages, and trends developed in the future of the detection main individual physics technology and multi-sensors information fusion technology are summarized. This paper is expected to provide the necessary basis for the follow-up study of the fault diagnosis of rolling bearings and a foundational knowledge for researchers about rolling bearings.en_ZA
dc.description.departmentElectrical, Electronic and Computer Engineeringen_ZA
dc.description.embargo2019-04-01
dc.description.librarianhj2018en_ZA
dc.description.sponsorshipThe Natural Science Foundation of China (NSFC) (grant numbers: 51675403, 51275381 and 51505475), National Research Foundation, South Africa (grant numbers: IFR160118156967 and RDYR160404161474), and UOW Vice-Chancellor’s Postdoctoral Research Fellowship.en_ZA
dc.description.uriInternational Journal of Advanced Manufacturing Technologyen_ZA
dc.identifier.citationDuan, Z., Wu, T., Guo, S. et al. Development and trend of condition monitoring and fault diagnosis of multi-sensors information fusion for rolling bearings: a review. International Journal of Advanced Manufacturing Technology (2018) 96: 803-819. https://doi.org/10.1007/s00170-017-1474-8.en_ZA
dc.identifier.issn0268-3768 (print)
dc.identifier.issn0268-3768 (print)
dc.identifier.other10.1007/s00170-017-1474-8
dc.identifier.urihttp://hdl.handle.net/2263/66110
dc.language.isoenen_ZA
dc.publisherSpringeren_ZA
dc.rights© Springer-Verlag London Ltd., part of Springer Nature 2018. The original publication is available at : http://link.springer.comjournal/170.en_ZA
dc.subjectRolling bearingsen_ZA
dc.subjectFault diagnosisen_ZA
dc.subjectDetection technologyen_ZA
dc.subjectCondition monitoringen_ZA
dc.subjectFault detectionen_ZA
dc.subjectPerformance and reliabilitiesen_ZA
dc.subjectMechanical transmission systemen_ZA
dc.subjectInformation fusion technologyen_ZA
dc.subjectEquipment maintenanceen_ZA
dc.subjectCondition based maintenanceen_ZA
dc.subjectReliabilityen_ZA
dc.subjectMachineryen_ZA
dc.subjectFailure analysisen_ZA
dc.subjectBearings (machine parts)en_ZA
dc.titleDevelopment and trend of condition monitoring and fault diagnosis of multi-sensors information fusion for rolling bearings : a reviewen_ZA
dc.typePostprint Articleen_ZA

Files

Original bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Duan_Development_2018.pdf
Size:
825.69 KB
Format:
Adobe Portable Document Format
Description:
Postprint Article

License bundle

Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
license.txt
Size:
1.75 KB
Format:
Item-specific license agreed upon to submission
Description: