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Volumn 91, Issue , 2017, Pages 295-312

A fault diagnosis scheme for planetary gearboxes using modified multi-scale symbolic dynamic entropy and mRMR feature selection

Author keywords

Fault diagnosis; Modified multi scale symbolic dynamic entropy (MMSDE); mRMR; Planetary gearboxes

Indexed keywords

ENTROPY; FAILURE ANALYSIS; GEARS; SUPPORT VECTOR MACHINES;

EID: 85013751143     PISSN: 08883270     EISSN: 10961216     Source Type: Journal    
DOI: 10.1016/j.ymssp.2016.12.040     Document Type: Article
Times cited : (237)

References (43)
  • 1
    • 17844386578 scopus 로고    scopus 로고
    • A review of vibration-based techniques for helicopter transmission diagnostics
    • [1] Samuel, P.D., Pines, D.J., A review of vibration-based techniques for helicopter transmission diagnostics. J. Sound Vib. 282:1–2 (2005), 475–508.
    • (2005) J. Sound Vib. , vol.282 , Issue.1-2 , pp. 475-508
    • Samuel, P.D.1    Pines, D.J.2
  • 2
    • 84934970769 scopus 로고    scopus 로고
    • Time–frequency analysis based on Vold-Kalman filter and higher order energy separation for fault diagnosis of wind turbine planetary gearbox under nonstationary conditions
    • [2] Feng, Z., Qin, S., Liang, M., Time–frequency analysis based on Vold-Kalman filter and higher order energy separation for fault diagnosis of wind turbine planetary gearbox under nonstationary conditions. Renew. Energy 85 (2016), 45–56.
    • (2016) Renew. Energy , vol.85 , pp. 45-56
    • Feng, Z.1    Qin, S.2    Liang, M.3
  • 3
    • 84890044969 scopus 로고    scopus 로고
    • Condition monitoring and fault diagnosis of planetary gearboxes: a review
    • [3] Lei, Y., Lin, J., Zuo, M.J., He, Z., Condition monitoring and fault diagnosis of planetary gearboxes: a review. Measurement 48 (2014), 292–305.
    • (2014) Measurement , vol.48 , pp. 292-305
    • Lei, Y.1    Lin, J.2    Zuo, M.J.3    He, Z.4
  • 4
    • 84975144428 scopus 로고    scopus 로고
    • A windowing and mapping strategy for gear tooth fault detection of a planetary gearbox
    • [4] Liang, X., Zuo, M.J., Liu, L., A windowing and mapping strategy for gear tooth fault detection of a planetary gearbox. Mech. Syst. Signal Process. 80 (2016), 445–459.
    • (2016) Mech. Syst. Signal Process. , vol.80 , pp. 445-459
    • Liang, X.1    Zuo, M.J.2    Liu, L.3
  • 5
    • 33646769250 scopus 로고    scopus 로고
    • Dynamic analysis of a planetary gear failure caused by tooth pitting and cracking
    • [5] Chaari, F., Fakhfakh, T., Haddar, M., Dynamic analysis of a planetary gear failure caused by tooth pitting and cracking. J. Fail. Anal. Prev. 6:2 (2006), 73–78.
    • (2006) J. Fail. Anal. Prev. , vol.6 , Issue.2 , pp. 73-78
    • Chaari, F.1    Fakhfakh, T.2    Haddar, M.3
  • 6
    • 84918495073 scopus 로고    scopus 로고
    • Vibration signal modeling of a planetary gear set for tooth crack detection
    • [6] Liang, X., Zuo, M.J., Hoseini, M.R., Vibration signal modeling of a planetary gear set for tooth crack detection. Eng. Fail. Anal. 48 (2015), 185–200.
    • (2015) Eng. Fail. Anal. , vol.48 , pp. 185-200
    • Liang, X.1    Zuo, M.J.2    Hoseini, M.R.3
  • 7
    • 84860824316 scopus 로고    scopus 로고
    • Fault diagnosis for wind turbine planetary gearboxes via demodulation analysis based on ensemble empirical mode decomposition and energy separation
    • [7] Feng, Z., Liang, M., Zhang, Y., Hou, S., Fault diagnosis for wind turbine planetary gearboxes via demodulation analysis based on ensemble empirical mode decomposition and energy separation. Renew. Energy 47 (2012), 112–126.
    • (2012) Renew. Energy , vol.47 , pp. 112-126
    • Feng, Z.1    Liang, M.2    Zhang, Y.3    Hou, S.4
  • 8
    • 84995469462 scopus 로고    scopus 로고
    • Diagonal slice spectrum assisted optimal scale morphological filter for rolling element bearing fault diagnosis
    • [8] Li, Yifan, Liang, Xihui, Zuo, Ming J., Diagonal slice spectrum assisted optimal scale morphological filter for rolling element bearing fault diagnosis. Mech. Syst. Signal Proces. 85 (2017), 146–161.
    • (2017) Mech. Syst. Signal Proces. , vol.85 , pp. 146-161
    • Li, Y.1    Liang, X.2    Zuo, M.J.3
  • 9
    • 53849123982 scopus 로고    scopus 로고
    • Vibration condition monitoring of planetary gearbox under varying external load
    • [9] Bartelmus, W., Zimroz, R., Vibration condition monitoring of planetary gearbox under varying external load. Mech. Syst. Signal Process. 23:1 (2009), 246–257.
    • (2009) Mech. Syst. Signal Process. , vol.23 , Issue.1 , pp. 246-257
    • Bartelmus, W.1    Zimroz, R.2
  • 10
    • 84955669465 scopus 로고    scopus 로고
    • Joint amplitude and frequency demodulation analysis based on intrinsic time-scale decomposition for planetary gearbox fault diagnosis
    • [10] Feng, Z., Lin, X., Zuo, M.J., Joint amplitude and frequency demodulation analysis based on intrinsic time-scale decomposition for planetary gearbox fault diagnosis. Mech. Syst. Signal Process. 72–73 (2016), 223–240.
    • (2016) Mech. Syst. Signal Process. , vol.72-73 , pp. 223-240
    • Feng, Z.1    Lin, X.2    Zuo, M.J.3
  • 11
    • 84876936237 scopus 로고    scopus 로고
    • Planetary gearbox fault diagnosis using an adaptive stochastic resonance method
    • [11] Lei, Y., Han, D., Lin, J., He, Z., Planetary gearbox fault diagnosis using an adaptive stochastic resonance method. Mech. Syst. Signal Process. 38:1 (2013), 113–124.
    • (2013) Mech. Syst. Signal Process. , vol.38 , Issue.1 , pp. 113-124
    • Lei, Y.1    Han, D.2    Lin, J.3    He, Z.4
  • 12
    • 84890022208 scopus 로고    scopus 로고
    • Vibration signal models for fault diagnosis of planetary gearboxes
    • [12] Feng, Z., Zuo, M.J., Vibration signal models for fault diagnosis of planetary gearboxes. J. Sound Vib. 331:22 (2012), 4919–4939.
    • (2012) J. Sound Vib. , vol.331 , Issue.22 , pp. 4919-4939
    • Feng, Z.1    Zuo, M.J.2
  • 13
    • 58949090476 scopus 로고    scopus 로고
    • Application of spectral kurtosis for detection of a tooth crack in the planetary gear of a wind turbine
    • [13] Barszcz, T., Randall, R.B., Application of spectral kurtosis for detection of a tooth crack in the planetary gear of a wind turbine. Mech. Syst. Signal Process. 23:4 (2009), 1352–1365.
    • (2009) Mech. Syst. Signal Process. , vol.23 , Issue.4 , pp. 1352-1365
    • Barszcz, T.1    Randall, R.B.2
  • 14
    • 84944345608 scopus 로고    scopus 로고
    • A fault diagnosis scheme for rolling bearing based on local mean decomposition and improved multiscale fuzzy entropy
    • [14] Li, Y., Xu, M., Wang, R., Huang, W., A fault diagnosis scheme for rolling bearing based on local mean decomposition and improved multiscale fuzzy entropy. J. Sound Vib. 360 (2016), 277–299.
    • (2016) J. Sound Vib. , vol.360 , pp. 277-299
    • Li, Y.1    Xu, M.2    Wang, R.3    Huang, W.4
  • 15
    • 85013799852 scopus 로고    scopus 로고
    • Vibration-based wind turbine planetary gearbox fault diagnosis using spectral averaging
    • [15] Yoon, J., He, D., Van Hecke, B., Nostrand, T.J., Zhu, J., Bechhoefer, E., Vibration-based wind turbine planetary gearbox fault diagnosis using spectral averaging. Wind Energy, 2015.
    • (2015) Wind Energy
    • Yoon, J.1    He, D.2    Van Hecke, B.3    Nostrand, T.J.4    Zhu, J.5    Bechhoefer, E.6
  • 16
    • 84925969865 scopus 로고    scopus 로고
    • Health condition identification of multi-stage planetary gearboxes using a mRVM-based method
    • [16] Lei, Y., Liu, Z., Wu, X., Li, N., Chen, W., Lin, J., Health condition identification of multi-stage planetary gearboxes using a mRVM-based method. Mech. Syst. Signal Process. 60–61 (2015), 289–300.
    • (2015) Mech. Syst. Signal Process. , vol.60-61 , pp. 289-300
    • Lei, Y.1    Liu, Z.2    Wu, X.3    Li, N.4    Chen, W.5    Lin, J.6
  • 17
    • 84920253389 scopus 로고    scopus 로고
    • Feature selection for fault level diagnosis of planetary gearboxes
    • [17] Liu, Z., Zhao, X., Zuo, M.J., Xu, H., Feature selection for fault level diagnosis of planetary gearboxes. Adv. Data Anal. Classif. 8:4 (2014), 377–401.
    • (2014) Adv. Data Anal. Classif. , vol.8 , Issue.4 , pp. 377-401
    • Liu, Z.1    Zhao, X.2    Zuo, M.J.3    Xu, H.4
  • 18
    • 80052799138 scopus 로고    scopus 로고
    • Feature selection for damage degree classification of planetary gearboxes using support vector machine
    • [18] Qu, J., Liu, Z., Zuo, M.J., Huang, H.-Z., Feature selection for damage degree classification of planetary gearboxes using support vector machine. Proc. Inst. Mech. Eng. Part C: J. Mech. Eng. Sci. 225:9 (2011), 2250–2264.
    • (2011) Proc. Inst. Mech. Eng. Part C: J. Mech. Eng. Sci. , vol.225 , Issue.9 , pp. 2250-2264
    • Qu, J.1    Liu, Z.2    Zuo, M.J.3    Huang, H.-Z.4
  • 19
    • 84866596132 scopus 로고    scopus 로고
    • Crack level estimation approach for planetary gearbox based on simulation signal and GRA
    • [19] Cheng, Z., Hu, N., Zhang, X., Crack level estimation approach for planetary gearbox based on simulation signal and GRA. J. Sound Vib. 331:26 (2012), 5853–5863.
    • (2012) J. Sound Vib. , vol.331 , Issue.26 , pp. 5853-5863
    • Cheng, Z.1    Hu, N.2    Zhang, X.3
  • 20
    • 84956958788 scopus 로고    scopus 로고
    • Fault diagnosis for a multistage planetary gear set using model-based simulation and experimental investigation
    • [20] Li, G., Li, F., Wang, Y., Dong, D., Fault diagnosis for a multistage planetary gear set using model-based simulation and experimental investigation. Shock Vib. 2016 (2016), 1–19.
    • (2016) Shock Vib. , vol.2016 , pp. 1-19
    • Li, G.1    Li, F.2    Wang, Y.3    Dong, D.4
  • 21
    • 84899435486 scopus 로고    scopus 로고
    • A rolling bearing fault diagnosis method based on multi-scale fuzzy entropy and variable predictive model-based class discrimination
    • [21] Zheng, J., Cheng, J., Yang, Y., Luo, S., A rolling bearing fault diagnosis method based on multi-scale fuzzy entropy and variable predictive model-based class discrimination. Mech. Mach. Theory 78 (2014), 187–200.
    • (2014) Mech. Mach. Theory , vol.78 , pp. 187-200
    • Zheng, J.1    Cheng, J.2    Yang, Y.3    Luo, S.4
  • 22
    • 84867606873 scopus 로고    scopus 로고
    • Bearing fault diagnosis based on multiscale permutation entropy and support vector machine
    • [22] Wu, S.-D., Wu, P.-H., Wu, C.-W., Ding, J.-J., Wang, C.-C., Bearing fault diagnosis based on multiscale permutation entropy and support vector machine. Entropy 14:8 (2012), 1343–1356.
    • (2012) Entropy , vol.14 , Issue.8 , pp. 1343-1356
    • Wu, S.-D.1    Wu, P.-H.2    Wu, C.-W.3    Ding, J.-J.4    Wang, C.-C.5
  • 23
    • 84898790212 scopus 로고    scopus 로고
    • Analysis of complex time series using refined composite multiscale entropy
    • [23] Wu, S.-D., Wu, C.-W., Lin, S.-G., Lee, K.-Y., Peng, C.-K., Analysis of complex time series using refined composite multiscale entropy. Phys. Lett. A 378:20 (2014), 1369–1374.
    • (2014) Phys. Lett. A , vol.378 , Issue.20 , pp. 1369-1374
    • Wu, S.-D.1    Wu, C.-W.2    Lin, S.-G.3    Lee, K.-Y.4    Peng, C.-K.5
  • 24
    • 0033949457 scopus 로고    scopus 로고
    • Physiological time-series analysis using approximate entropy and sample entropy
    • [24] Richman, J.S., Moorman, J.R., Physiological time-series analysis using approximate entropy and sample entropy. Am. J. Physiol. – Heart Circ. Physiol. 278:6 (2000), H2039–H2049.
    • (2000) Am. J. Physiol. – Heart Circ. Physiol. , vol.278 , Issue.6 , pp. H2039-H2049
    • Richman, J.S.1    Moorman, J.R.2
  • 25
    • 84875392825 scopus 로고    scopus 로고
    • Time series analysis using composite multiscale entropy
    • [25] Wu, S.-D., Wu, C.-W., Lin, S.-G., Wang, C.-C., Lee, K.-Y., Time series analysis using composite multiscale entropy. Entropy 15:3 (2013), 1069–1084.
    • (2013) Entropy , vol.15 , Issue.3 , pp. 1069-1084
    • Wu, S.-D.1    Wu, C.-W.2    Lin, S.-G.3    Wang, C.-C.4    Lee, K.-Y.5
  • 26
    • 4243997063 scopus 로고    scopus 로고
    • Permutation entropy: a natural complexity measure for time series
    • [26] Bandt, C., Pompe, B., Permutation entropy: a natural complexity measure for time series. Phys. Rev. Lett., 88(17), 2002, 174102.
    • (2002) Phys. Rev. Lett. , vol.88 , Issue.17 , pp. 174102
    • Bandt, C.1    Pompe, B.2
  • 27
    • 84957019068 scopus 로고    scopus 로고
    • Refined scale-dependent permutation entropy to analyze systems complexity
    • [27] Wu, S.-D., Wu, C.-W., Humeau-Heurtier, A., Refined scale-dependent permutation entropy to analyze systems complexity. Phys. Stat. Mech. Appl. 450 (2016), 454–461.
    • (2016) Phys. Stat. Mech. Appl. , vol.450 , pp. 454-461
    • Wu, S.-D.1    Wu, C.-W.2    Humeau-Heurtier, A.3
  • 28
    • 84867479144 scopus 로고    scopus 로고
    • Permutation entropy and its main biomedical and econophysics applications: a review
    • [28] Zanin, M., Zunino, L., Rosso, O.A., Papo, D., Permutation entropy and its main biomedical and econophysics applications: a review. Entropy 14:8 (2012), 1553–1577.
    • (2012) Entropy , vol.14 , Issue.8 , pp. 1553-1577
    • Zanin, M.1    Zunino, L.2    Rosso, O.A.3    Papo, D.4
  • 29
    • 84964343754 scopus 로고    scopus 로고
    • Dispersion entropy: a measure for time-series analysis
    • [29] Rostaghi, M., Azami, H., Dispersion entropy: a measure for time-series analysis. IEEE Signal Process. Lett. 23:5 (2016), 610–614.
    • (2016) IEEE Signal Process. Lett. , vol.23 , Issue.5 , pp. 610-614
    • Rostaghi, M.1    Azami, H.2
  • 30
    • 35248884315 scopus 로고    scopus 로고
    • Estimation of slowly varying parameters in nonlinear systems via symbolic dynamic filtering
    • [30] Rajagopalan, V., Chakraborty, S., Ray, A., Estimation of slowly varying parameters in nonlinear systems via symbolic dynamic filtering. Signal Process. 88:2 (2008), 339–348.
    • (2008) Signal Process. , vol.88 , Issue.2 , pp. 339-348
    • Rajagopalan, V.1    Chakraborty, S.2    Ray, A.3
  • 31
    • 84889281816 scopus 로고    scopus 로고
    • Elements of Information Theory
    • second ed. Wiley-Interscience Hoboken, NJ
    • [31] Cover, T.M., Thomas, J.A., Elements of Information Theory. second ed., 2006, Wiley-Interscience, Hoboken, NJ.
    • (2006)
    • Cover, T.M.1    Thomas, J.A.2
  • 32
    • 84884671333 scopus 로고    scopus 로고
    • Modified multiscale entropy for short-term time series analysis
    • [32] Wu, S.-D., Wu, C.-W., Lee, K.-Y., Lin, S.-G., Modified multiscale entropy for short-term time series analysis. Phys. Stat. Mech. Appl. 392:23 (2013), 5865–5873.
    • (2013) Phys. Stat. Mech. Appl. , vol.392 , Issue.23 , pp. 5865-5873
    • Wu, S.-D.1    Wu, C.-W.2    Lee, K.-Y.3    Lin, S.-G.4
  • 33
    • 84898034251 scopus 로고    scopus 로고
    • Multiscale permutation entropy based rolling bearing fault diagnosis
    • [33] Zheng, J., Cheng, J., Yang, Y., Multiscale permutation entropy based rolling bearing fault diagnosis. Shock Vib., 2014, 2014, e154291.
    • (2014) Shock Vib. , vol.2014 , pp. e154291
    • Zheng, J.1    Cheng, J.2    Yang, Y.3
  • 34
    • 24344458137 scopus 로고    scopus 로고
    • Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy
    • [34] Peng, H., Long, F., Ding, C., Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy. IEEE Trans. Pattern Anal. Mach. Intell. 27:8 (2005), 1226–1238.
    • (2005) IEEE Trans. Pattern Anal. Mach. Intell. , vol.27 , Issue.8 , pp. 1226-1238
    • Peng, H.1    Long, F.2    Ding, C.3
  • 35
    • 84898678160 scopus 로고    scopus 로고
    • Developing a local least-squares support vector machines-based neuro-fuzzy model for nonlinear and chaotic time series prediction
    • [35] Miranian, A., Abdollahzade, M., Developing a local least-squares support vector machines-based neuro-fuzzy model for nonlinear and chaotic time series prediction. IEEE Trans. Neural Netw. Learn. Syst. 24:2 (2013), 207–218.
    • (2013) IEEE Trans. Neural Netw. Learn. Syst. , vol.24 , Issue.2 , pp. 207-218
    • Miranian, A.1    Abdollahzade, M.2
  • 36
    • 84872122453 scopus 로고    scopus 로고
    • Roller bearing safety region estimation and state identification based on LMD–PCA–LSSVM
    • [36] Zhang, Y., Qin, Y., Xing, Z., Jia, L., Cheng, X., Roller bearing safety region estimation and state identification based on LMD–PCA–LSSVM. Measurement 46:3 (2013), 1315–1324.
    • (2013) Measurement , vol.46 , Issue.3 , pp. 1315-1324
    • Zhang, Y.1    Qin, Y.2    Xing, Z.3    Jia, L.4    Cheng, X.5
  • 37
    • 33745496690 scopus 로고    scopus 로고
    • Symbolic time series analysis via wavelet-based partitioning
    • [37] Rajagopalan, V., Ray, A., Symbolic time series analysis via wavelet-based partitioning. Signal Process. 86:11 (2006), 3309–3320.
    • (2006) Signal Process. , vol.86 , Issue.11 , pp. 3309-3320
    • Rajagopalan, V.1    Ray, A.2
  • 38
    • 84971373920 scopus 로고    scopus 로고
    • Health condition monitoring and early fault diagnosis of bearings using SDF and intrinsic characteristic-scale decomposition
    • [38] Li, Y., Xu, M., Wei, Y., Huang, W., Health condition monitoring and early fault diagnosis of bearings using SDF and intrinsic characteristic-scale decomposition. IEEE Trans. Instrum. Meas. PP:99 (2016), 1–16.
    • (2016) IEEE Trans. Instrum. Meas. , vol.PP , Issue.99 , pp. 1-16
    • Li, Y.1    Xu, M.2    Wei, Y.3    Huang, W.4
  • 39
    • 0002947255 scopus 로고    scopus 로고
    • A mathematical theory of communication
    • [39] Shannon, C.E., A mathematical theory of communication. SIGMOBILE Mob. Comput. Commun. Rev. 5:1 (2001), 3–55.
    • (2001) SIGMOBILE Mob. Comput. Commun. Rev. , vol.5 , Issue.1 , pp. 3-55
    • Shannon, C.E.1
  • 41
    • 1842722362 scopus 로고    scopus 로고
    • Multiscale entropy analysis of complex physiologic time series
    • [41] Costa, M., Goldberger, A.L., Peng, C.-K., Multiscale entropy analysis of complex physiologic time series. Phys. Rev. Lett., 89(6), 2002, 68102.
    • (2002) Phys. Rev. Lett. , vol.89 , Issue.6 , pp. 68102
    • Costa, M.1    Goldberger, A.L.2    Peng, C.-K.3
  • 42
    • 0031272926 scopus 로고    scopus 로고
    • Comparing support vector machines with Gaussian kernels to radial basis function classifiers
    • [42] Scholkopf, B., Sung, K.K., Burges, L.L., Chris, J.C., Comparing support vector machines with Gaussian kernels to radial basis function classifiers. IEEE Trans. Signal Process. 45:11 (1997), 2758–2765.
    • (1997) IEEE Trans. Signal Process. , vol.45 , Issue.11 , pp. 2758-2765
    • Scholkopf, B.1    Sung, K.K.2    Burges, L.L.3    Chris, J.C.4
  • 43
    • 84874788954 scopus 로고    scopus 로고
    • Multi-scale analysis based ball bearing defect diagnostics using mahalanobis distance and support vector machine
    • [43] Wu, S.-D., Wu, C.-W., Wu, T.-Y., Wang, C.-C., Multi-scale analysis based ball bearing defect diagnostics using mahalanobis distance and support vector machine. Entropy 15:2 (2013), 416–433.
    • (2013) Entropy , vol.15 , Issue.2 , pp. 416-433
    • Wu, S.-D.1    Wu, C.-W.2    Wu, T.-Y.3    Wang, C.-C.4


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