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Based on Wavelet Transform Time - Energy Analysis

Fixed partial failure of the vibration acceleration time history, the sampling frequency based 16384Hz, outside the fault characteristic frequency of a solid 76Hz. Calculated using the same method when a local energy density E. tb), then E (6) for detailed spectrum analysis, Figure 5, can be seen from Figure 5 in the outer ring fault characteristic frequency (76Hz) at the obvious line in Figure 6, Figure 7 were measured 63】 1 ball bearing inner ring fault acceleration time histories and local refinement when the energy density spectrum, the inner fault characteristic frequency / = 992Hz can be seen from Figure 7 in the inner ring fault characteristic frequency / t99.2Hz) at the apparent spectrum Line Ⅲ heart. From ... 05o000l. o0 bar 00501500 {; Hz Figure 3 Rolling bearings imprison fault simulation when the local density of the signal spectrum 100l002003 Figure 4 bearing outer ring fault acceleration time histories 0050060100200300400 bearing outer ring fault around 5 when the energy density of a map Zoom Spectrum 0004005006 6 bearing inner ring fault acceleration time histories of Vibration Engineering 112,[link widoczny dla zalogowanych], Volume 14, touch 03 Conclusion 0.04N0.02 earthworm 01002003004005 (FJf / Hz Figure 7,[link widoczny dla zalogowanych], when the failure of the bearing inner ring of a detailed spectral energy density of the time based on wavelet transform an energy density analysis method to analyze the signal energy in different frequency bands at any time within the distribution of Q,[link widoczny dla zalogowanych], which can extract the signal characteristics through simulation and practical application of the front can be seen,[link widoczny dla zalogowanych], when an energy density analysis can effectively extract the vibration signal of rolling bearing The fault characteristics. This fault diagnosis of great practical significance. References 1 Qian-Qing Qin, YANG Zong-kai practical wavelet analysis Xi'an: Xidian University Press,[link widoczny dla zalogowanych], 1994:1 {152 Zhao-Quan years. Xiong Xiaoyun. sub Prix analysis wavelet transform. Beijing: Electronics Industry Press ,1998:28-303 Zhang Zhongmin and so on. Roller Bearing Model and its Applications, Huazhong University of Technology, 1397; 25 (3): j0 ∞ 4 Wenhu so. fault diagnosis theory, technology Mann applications. Beijing: Science Press .1396: l071085 Jun-Sheng Cheng. based on wavelet analysis of rolling bearing fault diagnosis: [Dissertation]. Changsha: Hunan University vibration Centre .1999 Time-EnergyDensityAnalysisBasedonWaveletTransformYuDejieChengdunsheng (VLhratLonCenter.HuaaaUaiversityChaagsha, 41g082) AbstractEnergyisanimportantphysicalvariableLnsignalanalysis.Thedistr ~ butlonofenergywiththevariattonintimeandfrequencycanreflectthecharacteristicsofsignaL .Atime-energydensityanalysisapproachbasedonwavelettransformispro-posedinthepaper.whichcadbeappliedtoanalyzetheenergydistributionofs/gnatraringintimeandindifferentfrequencybandstoextractthefeaturesofthesigna1.Simulationandpracticaluseinrollerbearingfaultsdetectionshowthatthetime-en-ergydensityanatystscarlextractthefaultcharacterofsignaleffMentty.Keywords: wavetettransform; time-energydensity; roLlerbearing; faultcharacter the first of the De-Jie men. Dr. t .1357 Professor of Health in September. Tel: (0731 ) 8822832; E-maiL: YuD @ [link widoczny dla zalogowanych]

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