Predicting the Remaining Useful Life of Rolling Element Bearings

Erkki Jantunen; Jan Otto Hooghoudt; Yi Yang; Mark McKay

doi:10.1109/ICIT.2018.8352501

Predicting the Remaining Useful Life of Rolling Element Bearings

Erkki Jantunen, Jan Otto Hooghoudt, Yi Yang, Mark McKay

Aalborg University

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

6 Citations (Scopus)

Abstract

Condition monitoring of rolling element bearings is of vital importance in order to keep the industrial wheels running. In wind industry this is especially important due to the challenges in practical maintenance. The paper presents an attempt to improve the capability of prediction of remaining useful life of rolling bearings. The approach is based on the understanding of the wear of bearings i.e. wear modelling is briefly discussed. A simulation model has been built to produce vibration data of the monitoring of rolling bearings taking into account typical vibration excitations in addition to the wear. The simulation model is used to develop signal analysis methods and means of prognosis of the remaining useful life. One complete example of the above described process is shown and discussed in the paper.

Original language	English
Title of host publication	Proceedings of the 2018 IEEE International Conference on Industrial Technology (ICIT)
Publisher	IEEE Institute of Electrical and Electronic Engineers
Pages	2035-2040
ISBN (Electronic)	978-1-5090-5948-5, 978-1-5090-5949-2
ISBN (Print)	978-1-5090-5950-8
DOIs	https://doi.org/10.1109/ICIT.2018.8352501
Publication status	Published - 27 Apr 2018
MoE publication type	A4 Article in a conference publication
Event	19th IEEE International Conference on Industrial Technology, ICIT 2018 - Lyon, France Duration: 19 Feb 2018 → 22 Feb 2018

Conference

Conference	19th IEEE International Conference on Industrial Technology, ICIT 2018
Country/Territory	France
City	Lyon
Period	19/02/18 → 22/02/18

Funding

The research has been conducted as a part of MANTIS Cyber Physical System based Proactive Collaborative Maintenance project. The project has received funding from the Electronic Component Systems for European Leadership Joint Undertaking under grant agreement No 662189. This Joint Undertaking receives support from the European Union’s Horizon 2020 research and the national funding organisation Finnish Funding Agency for Innovation Tekes.

Keywords

Condition monitoring
Diagnosis
Prognosis
Remaining useful life
Rolling element bearing
Signal analysis
Vibration measurements

Access to Document

10.1109/ICIT.2018.8352501

Cite this

@inproceedings{1e2079444b7e46f0a32c6a3866a415b3,

title = "Predicting the Remaining Useful Life of Rolling Element Bearings",

abstract = "Condition monitoring of rolling element bearings is of vital importance in order to keep the industrial wheels running. In wind industry this is especially important due to the challenges in practical maintenance. The paper presents an attempt to improve the capability of prediction of remaining useful life of rolling bearings. The approach is based on the understanding of the wear of bearings i.e. wear modelling is briefly discussed. A simulation model has been built to produce vibration data of the monitoring of rolling bearings taking into account typical vibration excitations in addition to the wear. The simulation model is used to develop signal analysis methods and means of prognosis of the remaining useful life. One complete example of the above described process is shown and discussed in the paper.",

keywords = "Condition monitoring, Diagnosis, Prognosis, Remaining useful life, Rolling element bearing, Signal analysis, Vibration measurements",

author = "Erkki Jantunen and Hooghoudt, {Jan Otto} and Yi Yang and Mark McKay",

year = "2018",

month = apr,

day = "27",

doi = "10.1109/ICIT.2018.8352501",

language = "English",

isbn = "978-1-5090-5950-8",

pages = "2035--2040",

booktitle = "Proceedings of the 2018 IEEE International Conference on Industrial Technology (ICIT)",

publisher = "IEEE Institute of Electrical and Electronic Engineers",

address = "United States",

note = "19th IEEE International Conference on Industrial Technology, ICIT 2018 ; Conference date: 19-02-2018 Through 22-02-2018",

}

Jantunen, E, Hooghoudt, JO, Yang, Y & McKay, M 2018, Predicting the Remaining Useful Life of Rolling Element Bearings. in Proceedings of the 2018 IEEE International Conference on Industrial Technology (ICIT). IEEE Institute of Electrical and Electronic Engineers, pp. 2035-2040, 19th IEEE International Conference on Industrial Technology, ICIT 2018, Lyon, France, 19/02/18. https://doi.org/10.1109/ICIT.2018.8352501

Predicting the Remaining Useful Life of Rolling Element Bearings. / Jantunen, Erkki; Hooghoudt, Jan Otto; Yang, Yi et al.
Proceedings of the 2018 IEEE International Conference on Industrial Technology (ICIT). IEEE Institute of Electrical and Electronic Engineers, 2018. p. 2035-2040.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

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PY - 2018/4/27

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N2 - Condition monitoring of rolling element bearings is of vital importance in order to keep the industrial wheels running. In wind industry this is especially important due to the challenges in practical maintenance. The paper presents an attempt to improve the capability of prediction of remaining useful life of rolling bearings. The approach is based on the understanding of the wear of bearings i.e. wear modelling is briefly discussed. A simulation model has been built to produce vibration data of the monitoring of rolling bearings taking into account typical vibration excitations in addition to the wear. The simulation model is used to develop signal analysis methods and means of prognosis of the remaining useful life. One complete example of the above described process is shown and discussed in the paper.

AB - Condition monitoring of rolling element bearings is of vital importance in order to keep the industrial wheels running. In wind industry this is especially important due to the challenges in practical maintenance. The paper presents an attempt to improve the capability of prediction of remaining useful life of rolling bearings. The approach is based on the understanding of the wear of bearings i.e. wear modelling is briefly discussed. A simulation model has been built to produce vibration data of the monitoring of rolling bearings taking into account typical vibration excitations in addition to the wear. The simulation model is used to develop signal analysis methods and means of prognosis of the remaining useful life. One complete example of the above described process is shown and discussed in the paper.

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Predicting the Remaining Useful Life of Rolling Element Bearings

Abstract

Conference

Funding

Keywords

Access to Document

Other files and links

Fingerprint

MANTIS: Cyber Physical System based Proactive Collaborative Maintenance

Cite this

Predicting the Remaining Useful Life of Rolling Element Bearings

Abstract

Conference

Funding

Keywords

Access to Document

Other files and links

Fingerprint

Projects

MANTIS: Cyber Physical System based Proactive Collaborative Maintenance

Cite this