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Journal of Mechanical Science and Technology

, Volume 27, Issue 8, pp 2253–2262 | Cite as

Condition monitoring of naturally damaged slow speed slewing bearing based on ensemble empirical mode decomposition

  • Wahyu Caesarendra
  • Prabuono Buyung Kosasih
  • Anh Kiet Tieu
  • Craig Alexander Simpson Moodie
  • Byeong-Keun Choi
Article

Abstract

There have been extensive studies on vibration based condition monitoring, prognosis of rotating element bearings; and reviews of the methods on how to identify bearing fault and predict the final failure reported widely in literature. The investigated bearings commonly discussed in the literatures were run in moderate and high rotating speed, and damages were artificially introduced e.g. with artificial crack or seeded defect. This paper deals with very low rotational-speed slewing bearing (1–4.5 rpm) without artificial fault. Two real vibration data were utilized, namely data collected from lab slewing bearing subject to accelerated life test and from a sheet metal company. Empirical mode decomposition (EMD) and ensemble empirical mode decomposition (EEMD) were applied in both lab slewing bearing data and real case data. Outer race fault (BPFO) and rolling element fault (BSF) frequencies of slewing bearing can be identified. However, these fault frequencies could not be identified using fast Fourier transform (FFT).

Keywords

Empirical mode decomposition Ensemble empirical mode decomposition Naturally damaged Slow speed slewing bearing 

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Copyright information

© The Korean Society of Mechanical Engineers and Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Wahyu Caesarendra
    • 1
    • 2
  • Prabuono Buyung Kosasih
    • 1
  • Anh Kiet Tieu
    • 1
  • Craig Alexander Simpson Moodie
    • 1
  • Byeong-Keun Choi
    • 3
  1. 1.School of Mechanical, Materials and Mechatronic Engineering, Faculty of EngineeringUniversity of WollongongWollongongAustralia
  2. 2.Department of Mechanical Engineering, Faculty of EngineeringDiponegoro UniversitySemarangIndonesia
  3. 3.Department of Energy and Mechanical Engineering, Institute of Marine Industry, Faculty of EngineeringGyoengsang National UniversityGyeongnam-doKorea

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