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

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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).

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Authors and Affiliations

  1. School of Mechanical, Materials and Mechatronic Engineering, Faculty of Engineering, University of Wollongong, Wollongong, NSW, 2522, Australia

    Wahyu Caesarendra, Prabuono Buyung Kosasih, Anh Kiet Tieu & Craig Alexander Simpson Moodie

  2. Department of Mechanical Engineering, Faculty of Engineering, Diponegoro University, Semarang, 50275, Indonesia

    Wahyu Caesarendra

  3. Department of Energy and Mechanical Engineering, Institute of Marine Industry, Faculty of Engineering, Gyoengsang National University, 445 Inpyeong-dong, Tongyeong City, Gyeongnam-do, 650-160, Korea

    Byeong-Keun Choi

Authors
  1. Wahyu Caesarendra
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  2. Prabuono Buyung Kosasih
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  3. Anh Kiet Tieu
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  4. Craig Alexander Simpson Moodie
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  5. Byeong-Keun Choi
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Correspondence to Byeong-Keun Choi.

Additional information

Recommended by Associate Editor Cheolung Cheong

ByeongKeun Choi is an Associate Professor at the Department of Energy Mechanical Engineering at Gyeongsang National University in Korea. He received his Ph.D. in Mechanical Engineering from Pukyong National University, Korea, in 1999. Dr. Choi worked at Arizona State University as an Academic Professional from 1999 to 2002. Dr. Choi’s research interests include vibration analysis and optimum design of rotating machinery, machine diagnosis, and prognosis and acoustic emission. He is listed in Who’s Who in the World, among others.

Wahyu Caesarendra is a Lecturer in mechanical engineering department of Diponegoro University, Indonesia since 2007. He received B.Eng degree in mechanical engineering from Diponegoro University in 2005 and his M.Eng degree in Mechanical Design Engineering from Pukyong National University, South Korea in 2010, with his research interest in machine condition monitoring, fault diagnosis and prognosis. He is currently the University Postgraduate Award (UPA) and International Postgraduate Tuition Award (IPTA) awardee from University of Wollongong, Australia for doing his Ph.D. in School of Mechanical, Materials and Mechatronic Engineering. His Ph.D. topic is Condition Monitoring and Prognostic of Large Slow Speed Reversible Slewing Bearing with Online Monitoring System.

Buyung Kosasih received his Ph.D. in 1993 from the University of Wollongong in Mechanical Engineering in Tribology of Fluid Film Bearing. He is currently Senior Lecturer at the Faculty of Engineering, University of Wollongong, Australia. He actively carries out research in several areas including wind- and hydro-current-based renewable energy generation devices, tribology of aqueous lubricant for sustainable metal forming, and condition monitoring of slew bearing.

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Caesarendra, W., Kosasih, P.B., Tieu, A.K. et al. Condition monitoring of naturally damaged slow speed slewing bearing based on ensemble empirical mode decomposition. J Mech Sci Technol 27, 2253–2262 (2013). https://doi.org/10.1007/s12206-013-0608-7

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  • DOI: https://doi.org/10.1007/s12206-013-0608-7

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