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 Posted: Sun 3:24, 08 May 2011 Post subject: Franklin and Marshall uk Based on wavelet transfor |
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Based on wavelet transform Rubbing Rotor and Stator Fault Diagnosis
Extraction of different frequency resolution detail signal, the signal from the details of the energy distribution of the source signal can be seen in the details of the energy distribution of features in different frequency bands. [2] through the decomposition of vibration signals, from the details of the signal waveform can be diagnosed visually localized rubbing it, but it can not diagnose the extent of rubbing occurs, and do not rub and rub the whole circle is also can not be distinguished, the results of this study have made progress in both areas. In this paper, multi-resolution analysis of wavelet transform and extract the details of rubbing vibration signal components, the situation of different rubbing, rubbing the different levels of detail determines the distribution of the different signals,[link widoczny dla zalogowanych], so the details of the signal energy distribution is different,[link widoczny dla zalogowanych], the use of This feature can effectively diagnose the extent Rub. In addition, the use of the results of this analysis,[link widoczny dla zalogowanych], no rubbing in the diagnosis and when the whole ring of rubbing achieved good results. 123456 Reference Zhang XD. Modern signal processing. Beijing: Tsinghua University Press, 1994, Liu Xiandong, Li Qihan. Wavelet Transform in the early and Stator Rotor rubbing fault diagnosis. Air University,[link widoczny dla zalogowanych], 1999; 20 (3): 22o a 223MallatSG. Atheoryformultiresolutionsignaldecom-position: Thewaveletrepresentation. IEEETrans. onPAMI,[link widoczny dla zalogowanych], 1989; 11 (7): 674373 Liu Xiandong, Li Qihan. Transfer model of static parts and does not rub rotor Local Rub chaotic. Aerospace. 1998; 13 (4) :361-365DaubechiesI. Orthonormalbasesofcompactlysupport-edwavelets. Comm. onPureandAppliedMath. , L988; 41 (7): 9O9-996 Jing Yuan, Zhang Bing, Jiangxing boat. Feature extraction based on wavelet transform analysis. Signal Processing, 2000; 16 (2) :156-162ResearchonRub-ImpactFaultbetweenRotorandStatorUsingWaveletTransformSongYouLiuZhongkan (Dept.ofElectronicEngineering, BeijingUniv.ofAero.andAstro.Beijing, 100083) AbstractTherub-impactfaultbetweenrotorandstatorisanalysedanddiagnosedbasedonthewavelettransformtheory. Thedetailedfeaturesofthevibrationsignalareobtainedbymultiresolutiondecompositionandanalysedintheformofenergy-distribution. Signatureanalysis. whichiasedonarub-impactcharacteristicvector. isintheprocessingofcharacteristicamplification. Resultsshowthatthedegreeofrub-impactcanbediagnosedeffectively. Furthermore. it'savailablewhenneededtOdistinguishbetweennorub-impactandannularrub-impact. Keywords: wavelettransform; multiresolutionanalysis; rub-impact; faultdiagnosis Song of the Friends of the first male, Ph.D., in August 1973 students. Phone: (01O) 82317939,82317930; E-mail: youwa @ sina. com ∞ gnBmAd grapefruit. . D Main UgnBnoUpo India
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