Narzędzia help

Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
first last
cannonical link button

http://yadda.icm.edu.pl:80/baztech/element/bwmeta1.element.baztech-98b57761-e140-47cc-a83e-150fc5118be1

Czasopismo

Polish Maritime Research

Tytuł artykułu

An improved feature extraction method for rolling bearing fault diagnosis based on MEMD and PE

Autorzy Zhang, H.  Zhao, L.  Liu, Q.  Luo, J.  Wei, Q.  Zhou, Z.  Qu, Y. 
Treść / Zawartość
Warianty tytułu
Języki publikacji EN
Abstrakty
EN The health condition of rolling bearing can directly influence to the efficiency and lifecycle of rotating machinery, thus monitoring and diagnosing the faults of rolling bearing is of great importance. Unfortunately, vibration signals of rolling bearing are usually overwhelmed by external noise, so the fault frequencies of rolling bearing cannot be readily obtained. In this paper, an improved feature extraction method called IMFs_PE, which combines the multivariate empirical mode decomposition with the permutation entropy, is proposed to extract fault frequencies from the noisy bearing vibration signals. First, the raw bearing vibration signals are filtered by an optimal band-pass filter determined by SK to remove the irrelative noise which is not in the same frequency band of fault frequencies. Then the filtered signals are processed by the IMFs_PE to get rid of the relative noise which is in the same frequency band of fault frequencies. Finally, a frequency domain condition indicator FFR(Fault Frequency Ratio), which measures the magnitude of fault frequencies in frequency domain, is calculated to compare the effectiveness of the feature extraction methods. The feature extraction method proposed in this paper has advantages of removing both irrelative noise and relative noise over other feature extraction methods. The effectiveness of the proposed method is validated by simulated and experimental bearing signals. And the results are shown that the proposed method outperforms other state of the art algorithms with regards to fault feature extraction of rolling bearing.
Słowa kluczowe
EN improved feature extraction method   rolling bearing fault diagnosis   MEMD   PE  
Wydawca Gdańsk University of Technology, Faculty of Ocean Engineering & Ship Technology
Czasopismo Polish Maritime Research
Rocznik 2018
Tom S 2
Strony 98--106
Opis fizyczny Bibliogr. 14 poz., rys., tab.
Twórcy
autor Zhang, H.
  • School of Information Engineering, Wuhan University of Technology, Wuhan 430070, China, zhaoleiand@sina.cn
autor Zhao, L.
  • School of Information Engineering, Wuhan University of Technology, Wuhan 430070, China
autor Liu, Q.
  • School of Information Engineering, Wuhan University of Technology, Wuhan 430070, China
autor Luo, J.
  • School of Information Engineering, Wuhan University of Technology, Wuhan 430070, China
autor Wei, Q.
  • School of Information Engineering, Wuhan University of Technology, Wuhan 430070, China
autor Zhou, Z.
  • School of Mechanical and Electronic Engineering, Wuhan University of Technology, Wuhan 430070, China
autor Qu, Y.
  • School of Mechanical and Electronic Engineering, Wuhan University of Technology, Wuhan 430070, China
Bibliografia
1. Coiro, D.P., Troise, G., Calise, G., Bizzarrini, N.: Wave energy conversion through a point pivoted absorber: Numerical and experimental tests on a scaled model, Renewable Energy, Vol. 87, no. 1, pp. 317-325, 2016.
2. Martínez, M., Molina, M.G., Machado, I.R.: Mercado, P.E., Watanabe, E.H., Modelling and simulation of wave Energy hyperbaric converter (WEHC) for applications in distributed generation, International Journal of Hydrogen Energy, Vol. 37, no. 9, pp. 14945-14950, 2012.
3. Gaspar, J.F., Calvário, M., Kamarlouei, M., Guedes Soares, C.: Power take-off concept for wave energy converters based on oil-hydraulic transformer units, Renewable Energy, no. 86, pp. 1232-1246, 2016.
4. Zhang, D.H., Li, W., Lin Y.G.: Wave energy in China: current status and perspectives, Renewable energy, Vol. 34, no. 10, pp. 2089-2092, 2009.
5. Bjarte-Larsson, T., Falnes, J.: Laboratory experiment on heaving body with hydraulic power take-off and latching control, Ocean Eng, Vol. 33, no. 7, pp. 847–877, 2006.
6. Hals, J., Taghipour, R., Moan, and T.: Dynamics of a forcecompensated two-body wave energy converter in heave with hydraulic power take-off subject to phase control, In: Proceedings of the Seventh European Wave and Tidal Energy Conference, Porto, Portugal, 2007.
7. Yang, L.M., Hals, J., Moan, T.: A wear model for assessing the reliability of wave energy converter in heave with hydraulic power take-off, In: Proceedings of the Eighth European Wave and Tidal Energy Conference, Uppsala, Sweden, 2009.
8. Yang, L., Hals, J., Moan, T.: Analysis of dynamic effects relevant for the wear damage in hydraulic machines for wave energy conversion, Ocean Engineering. Vol. 37, no, 13, pp. 1089-1102, 2010.
9. Falcăo, A. F. de O.: Modelling and control of oscillating-body wave energy converters with hydraulic power take-off and gas accumulator, Ocean Engineering, Vol. 34, no. 14-15, pp. 2021-2032, 2007.
10. Virvalo, T.: Hydraulic systems in wave energy application, 1st edn, World Publishing Corporation, China, pp. 56–60, 2009.
11. Lin, Y, G., and Huang, W., Zhang, D.F., Li, W., Bao, J.W.: Application of Hydraulic System in Wave Energy Converter, Electrical, Information Engineering and Mechatronics 2011, Lecture Notes in Electrical Engineering. Vol. 138, pp. 275-283, 2012.
12. Lopes, M.F.P., Hals, J., Gomes, R.P.F., Moan, T., Gato, L.M.C., Falcăo, A.F.de O.: Experimental and numerical investigation of non-predictive phase-control strategies for a point-absorbing wave energy converter, Ocean Engineering, Vol. 36, no. 5, pp. 386-402, 2009.
13. Babarit, A., Guglielmi, M., Clément, A.H.: Declutching control of a wave energy converter, Ocean Engineering, Vol. 36, no. 12-13, pp. 1015-1024, 2009.
14. Zhan, X.Q., Zhang, Y.H., Zhao, K.D.: Study on Mathematical Model of Hydraulic Accumulator in Secondary Regulated System, China Mechanical Engineering, Vol. 12, no. Zl, pp. 45-46, 2001.
Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).
Kolekcja BazTech
Identyfikator YADDA bwmeta1.element.baztech-98b57761-e140-47cc-a83e-150fc5118be1
Identyfikatory
DOI 10.2478/pomr-2018-0080