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A new method for automatic defects detection and diagnosis in rolling element bearings using Wald test

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
To detect and to diagnose, the localized defect in rolling bearings, a statistical model based on the sequential Wald test is established to generate a “hypothetical” signal which takes the state zero in absence of the defect, and the state one if a peak of resonance caused by the defect in the bearing is present. The autocorrelation of this signal allows one to reveal the periodicity of the defect and, consequently, one can establish the diagnosis by comparing the frequency of the defect with the characteristic frequencies of the bearing. The originality of this work is the use of the Wald test in the signal processing domain. Secondly, this method permits the detection without considering the level of noise and the number of observations, it can be used as a support for the Fast Fourier Transform. Finally, the simulated and experimental signals are used to show the efficiency of this method based on the Wald test.
Rocznik
Strony
123--135
Opis fizyczny
Bibliogr. 50 poz., rys., tab.
Twórcy
autor
  • Applied Precision Mechanics Laboratory, Institute of Optics and Precision Mechanics, Ferhat Abbas University of Setif 1, Setif, Algeria
autor
  • Applied Precision Mechanics Laboratory, Institute of Optics and Precision Mechanics, Ferhat Abbas University of Setif 1, Setif, Algeria
  • Applied Precision Mechanics Laboratory, Institute of Optics and Precision Mechanics, Ferhat Abbas University of Setif 1, Setif, Algeria
autor
  • Applied Precision Mechanics Laboratory, Institute of Optics and Precision Mechanics, Ferhat Abbas University of Setif 1, Setif, Algeria
Bibliografia
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  • 7. Dong Y., Liao M., Zhang X., Wang F., 2011, Faults diagnosis of rolling element bearings based on modified morphological method, Mechanical Systems and Signal Processing, 25, 1276-1286
  • 8. Dron J.P., Bolaers F., Rasolofondraibe L., 2004, Improvement of the sensitivity of the scalar indicators (crest factor, kurtosis) using a de-noising method by spectral subtraction: application to the detection of defects in ball bearings, Journal of Sound and Vibration, 270, 270, 61-73
  • 9. Dyer D., Stewart R.M., 1978, Detection of rolling element bearing damage by statistical vibration analysis, Journal of Mechanical Design, 100, 229
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  • 18. Kopsaftopoulos F.P., Fassois S.D., 2011, Scalar and vector time series methods for vibration based damage diagnosis in a scale aircraft skeleton structure, Journal of Theoretical and Applied Mechanics, 49, 3, 727-756
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  • 21. Liu T.I., Singonahalli J.H., Iyer N.R., 1996, Detection of roller bearing defects using expert system and fuzzy logic, Mechanical Systems and Signal Processing, 10, 5, 595-614
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  • 25. Niu L., Cao H., He Z., Li Y., 2015, A systematic study of ball passing frequencies based on dynamic modeling of rolling ball bearings with localized surface defects, Journal of Sound and Vibration, 357, 207-232
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Uwagi
PL
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-9f6e89fa-39b5-4548-9cb5-f7c86715e046
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