메뉴 건너뛰기




Volumn 332, Issue 20, 2013, Pages 5217-5235

Vibration signal component separation by iteratively using basis pursuit and its application in mechanical fault detection

Author keywords

[No Author keywords available]

Indexed keywords

BASIS PURSUIT DENOISING; COMPARISON RESULT; DIFFERENT FREQUENCY; EMPIRICAL MODE DECOMPOSITION; IMPULSIVE COMPONENTS; MECHANICAL FAULT DIAGNOSIS; SEPARATION COEFFICIENTS; SHORT TIME FOURIER TRANSFORMS;

EID: 84879993814     PISSN: 0022460X     EISSN: 10958568     Source Type: Journal    
DOI: 10.1016/j.jsv.2013.04.021     Document Type: Article
Times cited : (66)

References (28)
  • 1
    • 0030145048 scopus 로고    scopus 로고
    • Application of wavelets to gearbox vibration signals for fault detection
    • W.J. Wang, and P.D. McFadden Application of wavelets to gearbox vibration signals for fault detection Journal of Sound and Vibration 192 1996 927 939
    • (1996) Journal of Sound and Vibration , vol.192 , pp. 927-939
    • Wang, W.J.1    McFadden, P.D.2
  • 3
    • 84860218743 scopus 로고    scopus 로고
    • Novel indices for broken rotor bars fault diagnosis in induction motors using wavelet transform
    • B.M. Ebrahimi, J. Faiz, S. Lotfi-fard, and P. Pillay Novel indices for broken rotor bars fault diagnosis in induction motors using wavelet transform Mechanical Systems and Signal Processing 30 2012 131 145
    • (2012) Mechanical Systems and Signal Processing , vol.30 , pp. 131-145
    • Ebrahimi, B.M.1    Faiz, J.2    Lotfi-Fard, S.3    Pillay, P.4
  • 4
    • 0024700097 scopus 로고
    • A theory for multiresolution signal decomposition: The wavelet representation
    • S. Mallat A theory for multiresolution signal decomposition: the wavelet representation IEEE Transactions on Pattern Analysis and Machine Intelligence 11 7 1989 674 693
    • (1989) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.11 , Issue.7 , pp. 674-693
    • Mallat, S.1
  • 8
    • 80052078099 scopus 로고    scopus 로고
    • Ensemble empirical mode decomposition: A noise-assisted data analysis method
    • Z.H. Wu, and N.E. Huang Ensemble empirical mode decomposition: a noise-assisted data analysis method Advances in Adaptive Data Analysis 1 1 2009 1 41
    • (2009) Advances in Adaptive Data Analysis , vol.1 , Issue.1 , pp. 1-41
    • Wu, Z.H.1    Huang, N.E.2
  • 11
    • 20444484584 scopus 로고    scopus 로고
    • An improved Hilbert-Huang transform and its application in vibration signal analysis
    • Z.K. Peng, Peter W. Tse, and F.L. Chu An improved Hilbert-Huang transform and its application in vibration signal analysis Journal of Sound and Vibration 286 2005 187 205
    • (2005) Journal of Sound and Vibration , vol.286 , pp. 187-205
    • Peng, Z.K.1    Tse, P.W.2    Chu, F.L.3
  • 12
    • 33646519024 scopus 로고    scopus 로고
    • A roller bearing fault diagnosis method based on EMD energy entropy and ANN
    • Y. Yang, D.J Yu, and J.S. Cheng A roller bearing fault diagnosis method based on EMD energy entropy and ANN Journal of Sound and Vibration 294 2006 269 277
    • (2006) Journal of Sound and Vibration , vol.294 , pp. 269-277
    • Yang, Y.1    Yu, D.J.2    Cheng, J.S.3
  • 13
    • 79951580715 scopus 로고    scopus 로고
    • Diagnostics of gear faults based on EMD and automatic selection of intrinsic mode functions
    • R. Ricci, and P. Pennacchi Diagnostics of gear faults based on EMD and automatic selection of intrinsic mode functions Mechanical Systems and Signal Processing 25 3 2011 821 838
    • (2011) Mechanical Systems and Signal Processing , vol.25 , Issue.3 , pp. 821-838
    • Ricci, R.1    Pennacchi, P.2
  • 14
    • 33745163942 scopus 로고    scopus 로고
    • Time-varying vibration decomposition and analysis based on the Hilbert transform
    • M. Feldman Time-varying vibration decomposition and analysis based on the Hilbert transform Journal of Sound and Vibration 295 2006 518 530
    • (2006) Journal of Sound and Vibration , vol.295 , pp. 518-530
    • Feldman, M.1
  • 15
    • 79957805351 scopus 로고    scopus 로고
    • A new method for multicomponent signal decomposition based on self-adaptive filtering
    • Y. Qin, B.P. Tang, J.X. Wang, and K. Xiao A new method for multicomponent signal decomposition based on self-adaptive filtering Measurement 44 7 2011 1312 1327
    • (2011) Measurement , vol.44 , Issue.7 , pp. 1312-1327
    • Qin, Y.1    Tang, B.P.2    Wang, J.X.3    Xiao, K.4
  • 17
    • 0035273106 scopus 로고    scopus 로고
    • Atomic decomposition by basis pursuit
    • S.S. Chen, D.L. Donoho, and M.A. Saunders Atomic decomposition by basis pursuit SIAM Review 43 1 2001 129 159
    • (2001) SIAM Review , vol.43 , Issue.1 , pp. 129-159
    • Chen, S.S.1    Donoho, D.L.2    Saunders, M.A.3
  • 18
  • 19
    • 33846784838 scopus 로고    scopus 로고
    • Application of atomic decomposition to gear damage detection
    • Z.P. Feng, and F.L. Chu Application of atomic decomposition to gear damage detection Journal of Sound and Vibration 302 2007 138 151
    • (2007) Journal of Sound and Vibration , vol.302 , pp. 138-151
    • Feng, Z.P.1    Chu, F.L.2
  • 20
    • 3142656055 scopus 로고    scopus 로고
    • Redundant multiscale transforms and their application for morphological component analysis
    • J.L. Starck, M. Elad, and D. Donoho Redundant multiscale transforms and their application for morphological component analysis Advances in Imaging and Electron Physics 132 2004 287 348
    • (2004) Advances in Imaging and Electron Physics , vol.132 , pp. 287-348
    • Starck, J.L.1    Elad, M.2    Donoho, D.3
  • 21
    • 27744574209 scopus 로고    scopus 로고
    • Image decomposition via the combination of sparse representation and a variational approach
    • J.L. Starck, M. Elad, and D. Donoho Image decomposition via the combination of sparse representation and a variational approach IEEE Transactions on Image Processing 14 10 2005 1570 1582
    • (2005) IEEE Transactions on Image Processing , vol.14 , Issue.10 , pp. 1570-1582
    • Starck, J.L.1    Elad, M.2    Donoho, D.3
  • 22
    • 80051471430 scopus 로고    scopus 로고
    • Resonance-based signal decomposition: A new sparsity-enabled signal analysis method
    • I.W. Selesnick Resonance-based signal decomposition: A new sparsity-enabled signal analysis method Signal Processing 91 12 2011 2793 2809
    • (2011) Signal Processing , vol.91 , Issue.12 , pp. 2793-2809
    • Selesnick, I.W.1
  • 23
    • 78649632380 scopus 로고    scopus 로고
    • Sparse signal decomposition method based on multi-scale chirplet and its application to the fault diagnosis of gearboxes
    • F.Q. Peng, D.J. Yu, and J.S. Luo Sparse signal decomposition method based on multi-scale chirplet and its application to the fault diagnosis of gearboxes Mechanical Systems and Signal Processing 25 2011 549 557
    • (2011) Mechanical Systems and Signal Processing , vol.25 , pp. 549-557
    • Peng, F.Q.1    Yu, D.J.2    Luo, J.S.3
  • 26
    • 7044231546 scopus 로고    scopus 로고
    • An iterative thresholding algorithm for linear inverse problems with a sparsity constraint
    • I. Daubechies, M. Defriese, and C. De Mol An iterative thresholding algorithm for linear inverse problems with a sparsity constraint Communications on Pure and Applied Mathematics 57 11 2004 1413 1457
    • (2004) Communications on Pure and Applied Mathematics , vol.57 , Issue.11 , pp. 1413-1457
    • Daubechies, I.1    Defriese, M.2    De Mol, C.3
  • 28
    • 0021758020 scopus 로고
    • Model for the vibration produced by a single point defect in a rolling element bearing
    • P.D. McFadden, and J.D. Smith Model for the vibration produced by a single point defect in a rolling element bearing Journal of Sound and Vibration 96 1983 69 82
    • (1983) Journal of Sound and Vibration , vol.96 , pp. 69-82
    • McFadden, P.D.1    Smith, J.D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.