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Envelope spectrum based on wavelet coefficients of the rolling bearing fault diagnosis


2.4 g1.6l0 · B ... I-● ● -. . .... :. ... One. One hundred and eleven L:,,} h Phoenix 4-dimensional wavelet coefficients dynamic bearing inner ring failure envelope spectrum when there is local damage of the rolling element bearing failure,christian louboutin shoes, the wavelet coefficients of the envelope spectrum shown in Figure 5, can be seen from Figure 5 that, when there is failure of rolling element bearings, the wavelet coefficients envelope of the frequency spectrum of rotation in the rolling (63.1H) and cage rotation frequency _, (9.7Hz) at the apparent spectral analysis of test results from the above conclusions can be using wavelet analysis to fault of rolling bearing at all ● 00000B642u, grass cents ● 1 Zhang Zhongmin, etc.: Based on the small envelope spectrum transition coefficient of rolling bearing fault diagnosis 6g5 · 64.8 base 1.6 '● ● ● ● ... 00 .... . . * *. J. *. . . . ●. . *. . , 050100150200250300350 Figure 5, bearing a small cross coefficient of the rolling element fault envelope spectrum is decomposed wavelet space,magasin abercrombie, and then the small ferry to the small space, including spectrum analysis of transition coefficients can effectively identify the bearing failure mode. Reference 1D ¨ bechiesI. Ten1ectureSOnwavelets. Philadelphia: SocietyforIndustrialandAppliedMathematics'19922NewIarldDE. Waveletanalysiaofvibration. part1; theory. JournalofVibrtalonandAcousticst1994; 116 (10) :409-4163New1andDE. Wave1etanalysiaofvibration, part2: waveletmaps. JournMVibrationandAcoustics, 1994; 116 (10) :417 - 4254Ma1IatS. Atheorvf0rmulti. resolutiondecomposition,hollister, thewaveletrepresentation. IEEETrans. P. A. M. I. ,oakley norge, 1989'11 (7): 67o, - 689ApplicationoftheEnvelopeSpectrumofWaveletCoefficientstoFaultDiagnosisinRollerBearingZhangZhongminLuWenxiangYangShuzi (HuazhongUniversityofScienceandTechnologyWuhan, 430074) ZhangYingtangZhangPeilinZhengHaiqi (OrdnanceEngineeringCollegeShijiazhuang, 050003) AbstractThepaperpresentsawamethodforfaultdiagnosisinrollerbearing. Theor ~ hogonalbasesofwavelet8reusedtOtranslatevibrationsignalofrollerbearingintotime-scalerepresen-tation. Bymakinganenvelopespectrumanalysisofwaveletcoefficientsofhighscales, whichrepresenthighfrequencysignal, thefaultinrollerbearingcanbedetectedandfaultpatterncanbeidentifiedvalidly. Keywords: rollerbearing; faultdiagnosis; wavelettransform ~ envelopesprectrum Zhang Zhongmin the first of the male,Franklin Marshall pas cher, lecturer t1969 students in January.

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