Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
DE
EN
Books
Journals
Events
Topic Page
Marketing
Start single access now
Access for companies
12th International Engine Congress 2025 | 25. + 26. February 2025

Meeting Place for the Powertrain and Sustainable Fuels Community

The congress will examine the future role of the internal combustion engine and its non-fossil fuels from a global perspective with leading experts. Be part of it! More information and booking options are available on our website.
EXTENDED SEARCH
Log in
Top
International Journal of Automotive Technology

09-12-2024 | Body and Safety, Chassis, Human Factors and Ergonomics, Materials and Recycling, Noise, Vibration and Harshness, Transmission and Driveline, Vehicle Dynamics and Control

A Study on Abnormal Detection of High-Speed Bearings for Electric Vehicle Drive Systems

Authors: Jin Yong Kim, Doo Ho Lee, Do Hyun Jung

Published in: International Journal of Automotive Technology

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Recently, as the development of high-performance electric vehicles is actively progressing, there is a strong demand for abnormality detection technology of high-speed bearings installed in drive systems. In this study, abnormal modes were analyzed for high-speed bearings applied to motors and reducers among electric vehicle drive systems, and abnormality reproduction specimens were developed for inner ring raceway flaking failures, which show the most failure cases in the field. Data for detecting anomalies were collected by installing a reducer with an anomaly reproduction specimen inserted into a transmission dynamo, and an effective method for detecting normal and abnormal states was proposed by extracting time domain and frequency domain features from the collected data. The proposed anomaly detection method will be used in the future for high-speed bearing diagnosis and residual life prediction technology development.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

ATZelectronics worldwide

ATZlectronics worldwide is up-to-speed on new trends and developments in automotive electronics on a scientific level with a high depth of information. 

Order your 30-days-trial for free and without any commitment.

inform now
Show more products
Literature
Choi, Y. C. and Kim, Y. H. (2003). Fault detection in a ball bearing system using minimum variance cepstrum. In: 32nd International Congress and Exposition on Noise Control Engineering, pp. 1492−1499.
Cordoba-Arenas, A., Zhang, J., Rizzoni, G. (2013). Diagnostics and prognostics needs and requirements for electrified vehicles powertrains. In: 7th IFAC Symposium on Advances in Automotive Control, pp. 524−529.
Doguer, T. and Strackeljan, J. (2009). Vibration analysis using time domain methods for the detection of small roller bearing defects. In: 8th International Conference on Vibrations in Rotating Machines, pp. 1−12.
Kankar, P. K., Sharma, S. C., & Harsha, S. P. (2011). Rolling element bearing fault diagnosis using wavelet transform. International Journal of Neurocomputing, 1(21), 1638–1645.CrossRef
Lee, D. H., Choo, H. S., & Jeong, J. G. (2023). Anomaly detection based on 1D-CNN-LSTM auto-encoder for bearing data. Transaction of Information Science and Applications, 20(1), 1–6.
Na, S. G., Yang, I. B., & Heo, H. (2014). Abnormality detection via SVDD technique of motor-generator system in hev. International Journal of Automotive Technology, 15(4), 637–643.CrossRef
Seo, Y. H., Kim, S. R., Kim, B. K., & Ma, P. S. (2019). State index of bearing of wind turbine under variable loading conditions to predict remaining useful life. Transaction of Korea Wind Energy Association, 10(3), 22–30.
Trajin, B., Regnier, J., Faucher, J. (2008). Indicator for bearing fault detection in asynchronous motors using stator current spectral analysis. In International symposium on industrial electronics, Cambridge, UK, 30 June–2 July 2008 (pp. 570−575). https://​doi.​org/​10.​1109/​ISIE.​2008.​4676911
Metadata
Title
A Study on Abnormal Detection of High-Speed Bearings for Electric Vehicle Drive Systems
Authors
Jin Yong Kim
Doo Ho Lee
Do Hyun Jung
Publication date
09-12-2024
Publisher
The Korean Society of Automotive Engineers
Published in
International Journal of Automotive Technology
Print ISSN: 1229-9138
Electronic ISSN: 1976-3832
DOI
https://doi.org/10.1007/s12239-024-00164-x

Premium Partner

    Image Credits