메뉴 건너뛰기




Volumn 23, Issue 8, 2014, Pages

State recognition of the viscoelastic sandwich structure based on the adaptive redundant second generation wavelet packet transform, permutation entropy and the wavelet support vector machine

Author keywords

adaptive redundant second generation wavelet packet transform; permutation entropy; state recognition; viscoelastic sandwich structure; wavelet support vector machine

Indexed keywords

ENTROPY; FEATURE EXTRACTION; SANDWICH STRUCTURES; SIGNAL PROCESSING; STATE ESTIMATION; VISCOELASTICITY;

EID: 84904409247     PISSN: 09641726     EISSN: 1361665X     Source Type: Journal    
DOI: 10.1088/0964-1726/23/8/085004     Document Type: Article
Times cited : (19)

References (44)
  • 1
    • 79952280923 scopus 로고    scopus 로고
    • Complex modes based numerical analysis of viscoelastic sandwich plates vibrations
    • 10.1016/j.compstruc.2011.01.020 0045-7949
    • Bilasse M, Azrar L and Daya E M 2011 Complex modes based numerical analysis of viscoelastic sandwich plates vibrations Comput. Struct. 89 539-55
    • (2011) Comput. Struct. , vol.89 , pp. 539-555
    • Bilasse, M.1    Azrar, L.2    Daya, E.M.3
  • 2
    • 84885067940 scopus 로고    scopus 로고
    • Finite element model for damping optimization of viscoelastic sandwich structures
    • 10.1016/j.advengsoft.2012.10.002 0965-9978
    • Moita J S, Araújo A L, Mota Soares C M and Mota Soares C A 2013 Finite element model for damping optimization of viscoelastic sandwich structures Adv. Eng. Softw. 66 34-9
    • (2013) Adv. Eng. Softw. , vol.66 , pp. 34-39
    • Moita, J.S.1    Araújo, A.L.2    Mota Soares, C.M.3    Mota Soares, C.A.4
  • 3
    • 34047250842 scopus 로고    scopus 로고
    • Development in vibration-based structural damage detection technique
    • DOI 10.1016/j.ymssp.2006.10.002, PII S0888327006002226
    • Yan Y J, Cheng L, Wu Z Y and Yam L H 2007 Development in vibration-based structural damage detection technique Mech. Syst. Signal Process. 21 2198-211 (Pubitemid 46550768)
    • (2007) Mechanical Systems and Signal Processing , vol.21 , Issue.5 , pp. 2198-2211
    • Yan, Y.J.1    Cheng, L.2    Wu, Z.Y.3    Yam, L.H.4
  • 4
    • 79751492551 scopus 로고    scopus 로고
    • Vibration-based damage identification methods: A review and comparative study
    • 10.1177/1475921710365419
    • Fan W and Qiao P Z 2011 Vibration-based damage identification methods: a review and comparative study Struct. Health Monitor. 10 83-111
    • (2011) Struct. Health Monitor. , vol.10 , pp. 83-111
    • Fan, W.1    Qiao, P.Z.2
  • 5
    • 84879925407 scopus 로고    scopus 로고
    • Evaluation of bridge instability caused by dynamic scour based on fractal theory
    • 10.1088/0964-1726/22/7/075003 0964-1726 075003
    • Lin T K, Wu R T, Chang K C and Chang Y S 2013 Evaluation of bridge instability caused by dynamic scour based on fractal theory Smart Mater. Struct. 22 075003
    • (2013) Smart Mater. Struct. , vol.22 , Issue.7 , pp. 075003
    • Lin, T.K.1    Wu, R.T.2    Chang, K.C.3    Chang, Y.S.4
  • 6
    • 84871551464 scopus 로고    scopus 로고
    • Wavelet-based AR-SVM for health monitoring of smart structures
    • 10.12989/sss.2013.11.1.001 0964-1726 015003
    • Kim Y, Chong J W, Chon K H and Kim J 2013 Wavelet-based AR-SVM for health monitoring of smart structures Smart Mater. Struct. 22 015003
    • (2013) Smart Mater. Struct. , vol.22 , Issue.1 , pp. 015003
    • Kim, Y.1    Chong, J.W.2    Chon, K.H.3    Kim, J.4
  • 7
    • 84881162548 scopus 로고    scopus 로고
    • Manifold subspace distance derived from kernel principal angles and its application to machinery structural damage assessment
    • 0964-1726 085012
    • Sun C, Zhang Z S, Cheng W, He Z J, Shen Z J, Chen B Q and Zhang L 2013 Manifold subspace distance derived from kernel principal angles and its application to machinery structural damage assessment Smart Mater. Struct. 22 085012
    • (2013) Smart Mater. Struct. , vol.22 , Issue.8 , pp. 085012
    • Sun, C.1    Zhang, Z.S.2    Cheng, W.3    He, Z.J.4    Shen, Z.J.5    Chen, B.Q.6    Zhang, L.7
  • 8
    • 34047275789 scopus 로고    scopus 로고
    • Intelligent fault diagnosis of rolling element bearing based on SVMs and fractal dimension
    • DOI 10.1016/j.ymssp.2006.10.005, PII S0888327006002251
    • Yang J Y, Zhang Y Y and Zhu Y S 2007 Intelligent fault diagnosis of rolling element bearing based on SVMs and fractal dimension Mech. Syst. Signal Process. 21 2012-24 (Pubitemid 46550771)
    • (2007) Mechanical Systems and Signal Processing , vol.21 , Issue.5 , pp. 2012-2024
    • Yang, J.1    Zhang, Y.2    Zhu, Y.3
  • 9
    • 33750528937 scopus 로고    scopus 로고
    • Approximate Entropy as a diagnostic tool for machine health monitoring
    • DOI 10.1016/j.ymssp.2006.02.009, PII S0888327006000458
    • Yan R Q and Gao R X 2007 Approximate entropy as a diagnostic tool for machine health monitoring Mech. Syst. Signal Process. 21 824-39 (Pubitemid 44667421)
    • (2007) Mechanical Systems and Signal Processing , vol.21 , Issue.2 , pp. 824-839
    • Yan, R.1    Gao, R.X.2
  • 10
    • 0033949457 scopus 로고    scopus 로고
    • Physiological time-series analysis using approximate entropy and sample entropy
    • Richman J S and Moorman J R 2000 Physiological time-series analysis using approximate entropy and sample entropy Am. J. Physiol. Circ. Physiol. 278 2039-49
    • (2000) Am. J. Physiol. Circ. Physiol. , vol.278 , pp. 2039-2049
    • Richman, J.S.1    Moorman, J.R.2
  • 11
    • 56349101801 scopus 로고    scopus 로고
    • Automatic detection of epileptic seizures in EEG using discrete wavelet transform and approximate entropy
    • 10.1016/j.eswa.2007.12.065 0957-4174
    • Ocak H 2009 Automatic detection of epileptic seizures in EEG using discrete wavelet transform and approximate entropy Expert Syst. Appl. 36 2027-36
    • (2009) Expert Syst. Appl. , vol.36 , pp. 2027-2036
    • Ocak, H.1
  • 12
    • 75049085330 scopus 로고    scopus 로고
    • A review on sample entropy applications for the non-invasive analysis of atrial fibrillation electrocardiograms
    • 10.1016/j.bspc.2009.11.001
    • Alcaraz R and Rieta J 2010 A review on sample entropy applications for the non-invasive analysis of atrial fibrillation electrocardiograms Biomed. Signal Process. Control 5 1-14
    • (2010) Biomed. Signal Process. Control , vol.5 , pp. 1-14
    • Alcaraz, R.1    Rieta, J.2
  • 13
    • 77951207585 scopus 로고    scopus 로고
    • Bearing fault diagnosis using multi-scale entropy and adaptive neuro-fuzzy inference
    • 10.1016/j.eswa.2010.02.118 0957-4174
    • Zhang L, Xiong G L, Liu H S, Zou H J and Guo W Z 2010 Bearing fault diagnosis using multi-scale entropy and adaptive neuro-fuzzy inference Expert Syst. Appl. 37 6077-85
    • (2010) Expert Syst. Appl. , vol.37 , pp. 6077-6085
    • Zhang, L.1    Xiong, G.L.2    Liu, H.S.3    Zou, H.J.4    Guo, W.Z.5
  • 14
    • 4243997063 scopus 로고    scopus 로고
    • Permutation entropy: A natural complexity measure for time series
    • 10.1103/PhysRevLett.88.174102 174102
    • Bandt C and Pompe B 2002 Permutation entropy: a natural complexity measure for time series Phys. Rev. Lett. 88 174102
    • (2002) Phys. Rev. Lett. , vol.88
    • Bandt, C.1    Pompe, B.2
  • 15
    • 13444273551 scopus 로고    scopus 로고
    • Ordinal time series analysis
    • DOI 10.1016/j.ecolmodel.2004.04.003, PII S0304380004001607, Scaling, Fractals and Diversity in Soils and Echohydrology
    • Bandt C 2005 Ordinal time series analysis Ecol. Modell. 182 229-38 (Pubitemid 40205670)
    • (2005) Ecological Modelling , vol.182 , Issue.3-4 , pp. 229-238
    • Bandt, C.1
  • 16
    • 35348925885 scopus 로고    scopus 로고
    • Predictability analysis of absence seizures with permutation entropy
    • DOI 10.1016/j.eplepsyres.2007.08.002, PII S0920121107002434
    • Li X L, Ouyang G X and Richards D A 2007 Predictability analysis of absence seizures with permutation entropy Epilepsy Res. 77 70-4 (Pubitemid 47588843)
    • (2007) Epilepsy Research , vol.77 , Issue.1 , pp. 70-74
    • Li, X.1    Ouyang, G.2    Richards, D.A.3
  • 17
    • 44449121467 scopus 로고    scopus 로고
    • Permutation entropy to detect vigilance changes and preictal states from scalp EEG in epileptic patients: A preliminary study
    • 10.1007/s10072-008-0851-3
    • Bruzzo A A, Gesierich B, Santi M, Tassinari C A, Birbaumer N and Rubboli G 2008 Permutation entropy to detect vigilance changes and preictal states from scalp EEG in epileptic patients: a preliminary study Neurol. Sci. 29 3-9
    • (2008) Neurol. Sci. , vol.29 , pp. 3-9
    • Bruzzo, A.A.1    Gesierich, B.2    Santi, M.3    Tassinari, C.A.4    Birbaumer, N.5    Rubboli, G.6
  • 18
    • 81855221797 scopus 로고    scopus 로고
    • Detection of epileptic electroencephalogram based on permutation entropy and support vector machines
    • 10.1016/j.eswa.2011.07.008 0957-4174
    • Nicolaou N and Georgiou J 2012 Detection of epileptic electroencephalogram based on permutation entropy and support vector machines Expert Syst. Appl. 39 202-9
    • (2012) Expert Syst. Appl. , vol.39 , pp. 202-209
    • Nicolaou, N.1    Georgiou, J.2
  • 19
    • 37549028448 scopus 로고    scopus 로고
    • Complexity measure of motor current signals for tool flute breakage detection in end milling
    • 10.1016/j.ijmachtools.2007.09.008 0890-6955
    • Li X L, Ouyang G X and Liang Z H 2008 Complexity measure of motor current signals for tool flute breakage detection in end milling Int. J. Mach. Tools Manuf. 48 371-9
    • (2008) Int. J. Mach. Tools Manuf. , vol.48 , pp. 371-379
    • Li, X.L.1    Ouyang, G.X.2    Liang, Z.H.3
  • 20
    • 84859427324 scopus 로고    scopus 로고
    • Permutation entropy: A nonlinear statistical measure for status characterization of rotary machines
    • 10.1016/j.ymssp.2011.11.022
    • Yan R Q, Liu Y B and Gao R X 2012 Permutation entropy: a nonlinear statistical measure for status characterization of rotary machines Mech. Syst. Signal Process. 29 474-84
    • (2012) Mech. Syst. Signal Process. , vol.29 , pp. 474-484
    • Yan, R.Q.1    Liu, Y.B.2    Gao, R.X.3
  • 21
    • 84867606873 scopus 로고    scopus 로고
    • Bearing fault diagnosis based on multiscale permutation entropy and support vector machine
    • 10.3390/e14081343
    • Wu S D, Wu P H, Wu C W, Ding J J and Wang C C 2012 Bearing fault diagnosis based on multiscale permutation entropy and support vector machine Entropy 14 1343-56
    • (2012) Entropy , vol.14 , pp. 1343-1356
    • Wu, S.D.1    Wu, P.H.2    Wu, C.W.3    Ding, J.J.4    Wang, C.C.5
  • 22
    • 0346306460 scopus 로고    scopus 로고
    • Application of the wavelet transform in machine condition monitoring and fault diagnostics: A review with bibliography
    • 10.1016/S0888-3270(03)00075-X
    • Peng Z K and Chu F L 2004 Application of the wavelet transform in machine condition monitoring and fault diagnostics: a review with bibliography Mech. Syst. Signal Process. 18 199-221
    • (2004) Mech. Syst. Signal Process. , vol.18 , pp. 199-221
    • Peng, Z.K.1    Chu, F.L.2
  • 23
    • 84887433963 scopus 로고    scopus 로고
    • Wavelets for fault diagnosis of rotary machines: A review with applications
    • 10.1016/j.sigpro.2013.04.015 0165-1684
    • Yan R Q, Gao R X and Chen X F 2014 Wavelets for fault diagnosis of rotary machines: a review with applications Signal Process. 96 1-15
    • (2014) Signal Process. , vol.96 , pp. 1-15
    • Yan, R.Q.1    Gao, R.X.2    Chen, X.F.3
  • 24
    • 30244489068 scopus 로고    scopus 로고
    • The lifting scheme: A custom-design construction of biorthogonal wavelets
    • DOI 10.1006/acha.1996.0015
    • Sweldens W 1996 The lifting scheme: a custom-design construction of biorthogonal wavelets Appl. Comput. Harmon. Anal. 3 186-200 (Pubitemid 126375198)
    • (1996) Applied and Computational Harmonic Analysis , vol.3 , Issue.2 , pp. 186-200
    • Sweldens, W.1
  • 25
    • 0032388955 scopus 로고    scopus 로고
    • The lifting scheme: A construction of second generation wavelets
    • 10.1137/S0036141095289051 0036-1410
    • Sweldens W 1998 The lifting scheme: a construction of second generation wavelets SIAM J. Math. Anal. 29 511-46
    • (1998) SIAM J. Math. Anal. , vol.29 , pp. 511-546
    • Sweldens, W.1
  • 26
    • 33750503791 scopus 로고    scopus 로고
    • Fault diagnosis of rotating machinery based on improved wavelet package transform and SVMs ensemble
    • DOI 10.1016/j.ymssp.2006.01.007, PII S0888327006000306
    • Hu Q, He Z J, Zhang Z S and Zi Y Y 2007 Fault diagnosis of rotating machinery based on improved wavelet package transform and SVMs ensemble Mech. Syst. Signal Process. 21 688-705 (Pubitemid 44667414)
    • (2007) Mechanical Systems and Signal Processing , vol.21 , Issue.2 , pp. 688-705
    • Hu, Q.1    He, Z.2    Zhang, Z.3    Zi, Y.4
  • 27
    • 58049182562 scopus 로고    scopus 로고
    • Robust bearing performance degradation assessment method based on improved wavelet packet-support vector data description
    • 10.1016/j.ymssp.2008.05.011
    • Pan Y N, Chen J and Guo L 2009 Robust bearing performance degradation assessment method based on improved wavelet packet-support vector data description Mech. Syst. Signal Process. 23 669-81
    • (2009) Mech. Syst. Signal Process. , vol.23 , pp. 669-681
    • Pan, Y.N.1    Chen, J.2    Guo, L.3
  • 28
    • 71749083809 scopus 로고    scopus 로고
    • Mechanical equipment fault diagnosis based on redundant second generation wavelet packet transform
    • 10.1016/j.dsp.2009.04.005
    • Zhou R, Bao W, Li N, Huang X and Yu D R 2010 Mechanical equipment fault diagnosis based on redundant second generation wavelet packet transform Digit. Signal Process. 20 276-88
    • (2010) Digit. Signal Process. , vol.20 , pp. 276-288
    • Zhou, R.1    Bao, W.2    Li, N.3    Huang, X.4    Yu, D.R.5
  • 29
    • 84857366453 scopus 로고    scopus 로고
    • Mechanical fault diagnosis based on redundant second generation wavelet packet transform, neighborhood rough set and support vector machine
    • 10.1016/j.ymssp.2011.10.016
    • Li N, Zhou R, Hu Q H and Liu X H 2012 Mechanical fault diagnosis based on redundant second generation wavelet packet transform, neighborhood rough set and support vector machine Mech. Syst. Signal Process. 28 608-21
    • (2012) Mech. Syst. Signal Process. , vol.28 , pp. 608-621
    • Li, N.1    Zhou, R.2    Hu, Q.H.3    Liu, X.H.4
  • 32
    • 0942289503 scopus 로고    scopus 로고
    • Gear fault detection using artificial neural networks and support vector machines with genetic algorithms
    • 10.1016/S0888-3270(03)00020-7
    • Samanta B 2004 Gear fault detection using artificial neural networks and support vector machines with genetic algorithms Mech. Syst. Signal Process. 18 625-44
    • (2004) Mech. Syst. Signal Process. , vol.18 , pp. 625-644
    • Samanta, B.1
  • 34
    • 56349108025 scopus 로고    scopus 로고
    • Forecasting volatility based on wavelet support vector machine
    • 10.1016/j.eswa.2008.01.047 0957-4174
    • Tang L B, Tang L X and Sheng H Y 2009 Forecasting volatility based on wavelet support vector machine Expert Syst. Appl. 36 2901-9
    • (2009) Expert Syst. Appl. , vol.36 , pp. 2901-2909
    • Tang, L.B.1    Tang, L.X.2    Sheng, H.Y.3
  • 35
    • 79952438070 scopus 로고    scopus 로고
    • An automatic diabetes diagnosis system based on LDA-wavelet support vector machine classifier
    • 10.1016/j.eswa.2011.01.017 0957-4174
    • Çalişir D and Doǧantekin E 2011 An automatic diabetes diagnosis system based on LDA-wavelet support vector machine classifier Expert Syst. Appl. 38 8311-5
    • (2011) Expert Syst. Appl. , vol.38 , pp. 8311-8315
    • Çalişir, D.1    Doǧantekin, E.2
  • 36
    • 44949237228 scopus 로고    scopus 로고
    • Wavelet support vector machine for induction machine fault diagnosis based on transient current signal
    • 10.1016/j.eswa.2007.06.018 0957-4174
    • Widodo A and Yang B S 2008 Wavelet support vector machine for induction machine fault diagnosis based on transient current signal Expert Syst. Appl. 35 307-16
    • (2008) Expert Syst. Appl. , vol.35 , pp. 307-316
    • Widodo, A.1    Yang, B.S.2
  • 37
    • 84873857181 scopus 로고    scopus 로고
    • Broken rotor bar diagnosis in induction machines through stationary wavelet packet transform and multiclass wavelet SVM
    • 10.1016/j.epsr.2012.12.013 0378-7796
    • Keskes H, Braham A and Lachiri Z 2013 Broken rotor bar diagnosis in induction machines through stationary wavelet packet transform and multiclass wavelet SVM Electr. Power Syst. Res. 97 151-7
    • (2013) Electr. Power Syst. Res. , vol.97 , pp. 151-157
    • Keskes, H.1    Braham, A.2    Lachiri, Z.3
  • 38
    • 84867863746 scopus 로고    scopus 로고
    • Multi-fault classification based on wavelet SVM with PSO algorithm to analyze vibration signals from rolling element bearings
    • 10.1016/j.neucom.2012.07.019 0925-2312
    • Liu Z W, Cao H R, Chen X F, He Z J and Shen Z J 2013 Multi-fault classification based on wavelet SVM with PSO algorithm to analyze vibration signals from rolling element bearings Neurocomputing 99 399-410
    • (2013) Neurocomputing , vol.99 , pp. 399-410
    • Liu, Z.W.1    Cao, H.R.2    Chen, X.F.3    He, Z.J.4    Shen, Z.J.5
  • 39
    • 84870249587 scopus 로고    scopus 로고
    • A novel fault diagnosis model for gearbox based on wavelet support vector machine with immune genetic algorithm
    • 10.1016/j.measurement.2012.06.009
    • Chen F F, Tang B P and Chen R X 2013 A novel fault diagnosis model for gearbox based on wavelet support vector machine with immune genetic algorithm Measurement 46 220-32
    • (2013) Measurement , vol.46 , pp. 220-232
    • Chen, F.F.1    Tang, B.P.2    Chen, R.X.3
  • 41
    • 9744274057 scopus 로고    scopus 로고
    • Design of signal-adapted multidimensional lifting scheme for lossy coding
    • 10.1109/TIP.2004.837556 1057-7149
    • Gouze A, Antonini M, Barlaud M and Macq B 2004 Design of signal-adapted multidimensional lifting scheme for lossy coding IEEE Trans. Image Process. 13 1589-603
    • (2004) IEEE Trans. Image Process. , vol.13 , pp. 1589-1603
    • Gouze, A.1    Antonini, M.2    Barlaud, M.3    Macq, B.4
  • 43
    • 33644910198 scopus 로고    scopus 로고
    • Improving real-parameter genetic algorithm with simulated annealing for engineering problems
    • 10.1016/j.advengsoft.2005.08.002 0141-1195
    • Hwang S F and He R S 2006 Improving real-parameter genetic algorithm with simulated annealing for engineering problems Adv. Eng. Software 37 406-18
    • (2006) Adv. Eng. Software , vol.37 , pp. 406-418
    • Hwang, S.F.1    He, R.S.2
  • 44
    • 0036505670 scopus 로고    scopus 로고
    • A comparison of methods for multiclass support vector machines
    • DOI 10.1109/72.991427, PII S1045922702018052
    • Hsu C W and Lin C J 2002 A comparison of methods for multiclass support vector machines IEEE Trans. Neural Networks 13 415-25 (Pubitemid 34475042)
    • (2002) IEEE Transactions on Neural Networks , vol.13 , Issue.2 , pp. 415-425
    • Hsu, C.-W.1    Lin, C.-J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.