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Posted: Sun 3:53, 08 May 2011 Post subject: franklin et marshall Continuous Wavelet Transform |
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Continuous Wavelet Transform Singularity Detection and Fault Diagnosis
Amount describe situations in many applications still look rough, do not distinguish the normal points, or outliers. Transformation based on continuous small crossing singularity detection method can be done on the local singularity accurate quantitative description has broad application prospects of this paper, this method for use in compressor valve fault recognition,[link widoczny dla zalogowanych], achieved good results refer to the Education literature 1GrossmanAWavelettrBnsformandedgedetectionDodrechcReide1.19862MallatS, Zero-crossingofawave] ettransformIEEETrans. onInformationTheory. 1991; 37 (4) l0l910333Ma / ~ atS, Ha, artgWLSingu ~ arltydeeectionandprocessing ~ vithaefs. 1EEETranso/1lnformationTheory, 1992 {38 (2): 6I7-643530 Vibration Engineering Volume 13 4 Zhou Xiaojun mutant signal characteristics of the phase plane analysis and monitoring of small-crossing the acoustic Application: [PhD thesis. Hangzhou: Zhejiang University. 19935 Wu crossing, Heling Song, Zhi-Qiang Cai and so on. Transformation based on the waveform characteristics of small ferry is extraction and recognition. Huazhong University of Technology,[link widoczny dla zalogowanych], 1993; 21 (1) 77-816 Heling Song, Kang Yihua Wu crossing of a wavelet analysis and its application in devices such as diagnosis. Huazhong University of Technology, 1993; 21 (1) :17-217 Cai Zhiqiang, Wu Ya, Zhou Li and so on. Diagnosis and Qiexiao u flutter analysis of a small ferry. Huazhong University of Technology, 1993; 21 (】) :88-948 Lin Jing, Liu Hong-Xing, Liang-Sheng Qu. Feature Recognition signal envelope in the fault diagnosis. Vibration, testing and diagnosis, 199818 (1) :34 - 39SingularityDetectionUsingContinuousWaveletTransformandItsApplicationtoFaultDiagnosisLinding (StateKeyLaboratoryofAcousitics,[link widoczny dla zalogowanych], InstituteofAcoustics, ChineseAcademyofScienceBeijing, l00080) 0Liangsh * ng (SchoolofMechanicalEngineering, Xi'anJiaotongUniversityXi'an, 710049) AbstractSingularitydetectionusingwave] ettransformthemostpopularly, dyadicdiscretewavekttransformhaeensuccessfu] lyusedinmanyresearchfields. Infact,[link widoczny dla zalogowanych], singularitydetectionusingcontinuotiswave] ettransformhasmuchiiloreabilityforquantitativedescriptionofslngu [arltythanthatofdyadicdiscretewavelettransformInthearticle-themethodofsinguJaritydetectionusingcontinuouswavelettransformisintroducedandusedfOrmechanicalfau] tdiagnosisTheresultsshowthatitis Ⅲ veffectLveforlocal, singularitydescription. Keywords: faultdiagnosis; wavelet; singu [aritydetection; valve first by Lin Jing men. Postdoctoral students in May 1971 Phone: (010) 62560201; E-mail: Li @ faradion
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