메뉴 건너뛰기




Volumn 37, Issue 2, 2010, Pages 1419-1430

A multidimensional hybrid intelligent method for gear fault diagnosis

Author keywords

Classifier combination; Feature extraction; Gear fault diagnosis; Hybrid intelligent method

Indexed keywords

CLASSIFICATION ALGORITHM; CLASSIFIER COMBINATION; COMBINATION OF MULTIPLE CLASSIFIERS; COMBINED DAMAGE; DAMAGE LEVEL; DAMAGE MODES; EARLY FAULT; EMPIRICAL MODE DECOMPOSITION; FAULT CHARACTERISTICS; FEATURE SETS; FREQUENCY DOMAINS; GEAR FAULT DIAGNOSIS; GEAR VIBRATION; HEALTH CONDITION; HILBERT TRANSFORM; HYBRID INTELLIGENT METHOD; INPUT FEATURES; INTELLIGENT DIAGNOSIS METHODS; MOTOR SPEED; MULTIPLE CLASSIFIERS; TIME DOMAIN; TIME FREQUENCY; VIBRATION SIGNAL; WAVELET PACKET TRANSFORMS;

EID: 71749106872     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2009.06.060     Document Type: Article
Times cited : (215)

References (36)
  • 1
    • 27344460283 scopus 로고    scopus 로고
    • A comparative study of three artificial neural networks for the detection and classification of gear faults
    • Abumahfouz I.A. A comparative study of three artificial neural networks for the detection and classification of gear faults. International Journal of General Systems 34 (2005) 261-277
    • (2005) International Journal of General Systems , vol.34 , pp. 261-277
    • Abumahfouz, I.A.1
  • 2
    • 32044473249 scopus 로고    scopus 로고
    • Using diversity of errors for selecting members of a committee classifier
    • Aksela M., and Laaksonen J. Using diversity of errors for selecting members of a committee classifier. Pattern Recognition 39 (2006) 608-623
    • (2006) Pattern Recognition , vol.39 , pp. 608-623
    • Aksela, M.1    Laaksonen, J.2
  • 3
    • 50649109430 scopus 로고    scopus 로고
    • The combination of multiple classifiers using an evidential reasoning approach
    • Bi Y., Guan J., and Bell D. The combination of multiple classifiers using an evidential reasoning approach. Artificial Intelligence 172 (2008) 1731-1751
    • (2008) Artificial Intelligence , vol.172 , pp. 1731-1751
    • Bi, Y.1    Guan, J.2    Bell, D.3
  • 4
    • 63449119881 scopus 로고    scopus 로고
    • Effects on diagnostic parameters after removing additional synchronous gear meshes
    • Technical Report NASA TM-2003-212312, ARL-TR-2933, NASA and the US Army Research Laboratory, April
    • Decker, H. J. (2003). Effects on diagnostic parameters after removing additional synchronous gear meshes. Technical Report NASA TM-2003-212312, ARL-TR-2933, NASA and the US Army Research Laboratory, April 2003.
    • (2003)
    • Decker, H.J.1
  • 7
    • 31044443061 scopus 로고    scopus 로고
    • Gearbox fault detection using Hilbert and wavelet packet transform
    • Fan X.F., and Zuo M.J. Gearbox fault detection using Hilbert and wavelet packet transform. Mechanical Systems and Signal Processing 20 (2006) 966-982
    • (2006) Mechanical Systems and Signal Processing , vol.20 , pp. 966-982
    • Fan, X.F.1    Zuo, M.J.2
  • 8
    • 21244501361 scopus 로고    scopus 로고
    • A theoretical and experimental analysis of linear combiners for multiple classifier systems
    • Fumera G., and Roli F. A theoretical and experimental analysis of linear combiners for multiple classifier systems. IEEE Transactions on Pattern Analysis and Machine Intelligence 27 (2005) 942-956
    • (2005) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.27 , pp. 942-956
    • Fumera, G.1    Roli, F.2
  • 13
    • 5444236478 scopus 로고    scopus 로고
    • The Empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis
    • Huang N.E., Shen Z., and Long S.R. The Empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis. Proceedings of the Royal Society of London 454 (1998) 903-995
    • (1998) Proceedings of the Royal Society of London , vol.454 , pp. 903-995
    • Huang, N.E.1    Shen, Z.2    Long, S.R.3
  • 14
    • 40849130062 scopus 로고    scopus 로고
    • Confidence based multiple classifier fusion in speaker verification
    • Huenupán F., Yoma N.B., and Molina C. Confidence based multiple classifier fusion in speaker verification. Pattern Recognition Letters 29 (2008) 957-966
    • (2008) Pattern Recognition Letters , vol.29 , pp. 957-966
    • Huenupán, F.1    Yoma, N.B.2    Molina, C.3
  • 18
    • 34047251505 scopus 로고    scopus 로고
    • Fault diagnosis of rotating machinery based on multiple ANFIS combination with GAs
    • Lei Y.G., He Z.J., Zi Y.Y., and Hu Q. Fault diagnosis of rotating machinery based on multiple ANFIS combination with GAs. Mechanical Systems and Signal Processing 21 (2007) 2280-2294
    • (2007) Mechanical Systems and Signal Processing , vol.21 , pp. 2280-2294
    • Lei, Y.G.1    He, Z.J.2    Zi, Y.Y.3    Hu, Q.4
  • 19
    • 48749115318 scopus 로고    scopus 로고
    • A new approach to intelligent fault diagnosis of rotating machinery
    • Lei Y.G., He Z.J., and Zi Y.Y. A new approach to intelligent fault diagnosis of rotating machinery. Expert Systems with Applications 35 (2008) 1593-1600
    • (2008) Expert Systems with Applications , vol.35 , pp. 1593-1600
    • Lei, Y.G.1    He, Z.J.2    Zi, Y.Y.3
  • 20
    • 36048939640 scopus 로고    scopus 로고
    • New clustering algorithm-based fault diagnosis using compensation distance evaluation technique
    • Lei Y.G., He Z.J., Zi Y.Y., and Chen X.F. New clustering algorithm-based fault diagnosis using compensation distance evaluation technique. Mechanical Systems and Signal Processing 22 (2008) 419-435
    • (2008) Mechanical Systems and Signal Processing , vol.22 , pp. 419-435
    • Lei, Y.G.1    He, Z.J.2    Zi, Y.Y.3    Chen, X.F.4
  • 21
    • 41549119353 scopus 로고    scopus 로고
    • Gear failure prediction using multiscale local statistics
    • Loutridis S.J. Gear failure prediction using multiscale local statistics. Engineering Structures 30 (2008) 1214-1223
    • (2008) Engineering Structures , vol.30 , pp. 1214-1223
    • Loutridis, S.J.1
  • 22
    • 46949093369 scopus 로고    scopus 로고
    • Self-similarity in vibration time series: Application to gear fault diagnostics
    • Loutridis S.J. Self-similarity in vibration time series: Application to gear fault diagnostics. Transactions of the ASME: Journal of Vibration and Acoustics 130 (2008) 0310041-0310049
    • (2008) Transactions of the ASME: Journal of Vibration and Acoustics , vol.130 , pp. 0310041-0310049
    • Loutridis, S.J.1
  • 25
    • 0346306460 scopus 로고    scopus 로고
    • Application of wavelet transform in machine condition monitoring and fault diagnostics: A review with bibliography
    • Peng Z.K., and Chu F.L. Application of wavelet transform in machine condition monitoring and fault diagnostics: A review with bibliography. Mechanical Systems and Signal Processing 17 (2003) 199-221
    • (2003) Mechanical Systems and Signal Processing , vol.17 , pp. 199-221
    • Peng, Z.K.1    Chu, F.L.2
  • 28
    • 0942289503 scopus 로고    scopus 로고
    • Gear fault detection using artificial neural networks and support vector machines with genetic algorithms
    • Samanta B. Gear fault detection using artificial neural networks and support vector machines with genetic algorithms. Mechanical Systems and Signal Processing 18 (2004) 625-644
    • (2004) Mechanical Systems and Signal Processing , vol.18 , pp. 625-644
    • Samanta, B.1
  • 29
    • 17844386578 scopus 로고    scopus 로고
    • A review of vibration-based techniques for helicopter transmission diagnostics
    • Samuel P.D., and Pines D.J. A review of vibration-based techniques for helicopter transmission diagnostics. Journal of Sound and Vibration 282 (2005) 475-508
    • (2005) Journal of Sound and Vibration , vol.282 , pp. 475-508
    • Samuel, P.D.1    Pines, D.J.2
  • 30
    • 34548504799 scopus 로고    scopus 로고
    • Diversity in multiple classifier ensembles based on binary feature quantisation with application to face recognition
    • Sirlantzis K., Hoque S., and Fairhurst M.C. Diversity in multiple classifier ensembles based on binary feature quantisation with application to face recognition. Applied Soft Computing 8 (2008) 437-445
    • (2008) Applied Soft Computing , vol.8 , pp. 437-445
    • Sirlantzis, K.1    Hoque, S.2    Fairhurst, M.C.3
  • 32
    • 2942561579 scopus 로고    scopus 로고
    • Third-order spectral techniques for the diagnosis of motor bearing condition using artificial neural networks
    • Yang D.M., Stronach A.F., and MacConnell P. Third-order spectral techniques for the diagnosis of motor bearing condition using artificial neural networks. Mechanical Systems and Signal Processing 16 (2002) 391-411
    • (2002) Mechanical Systems and Signal Processing , vol.16 , pp. 391-411
    • Yang, D.M.1    Stronach, A.F.2    MacConnell, P.3
  • 33
    • 50149090206 scopus 로고    scopus 로고
    • Feature-based classifier ensembles for diagnosing multiple faults in rotating machinery
    • Zio E., Baraldi P., and Gola G. Feature-based classifier ensembles for diagnosing multiple faults in rotating machinery. Applied Soft Computing 8 (2008) 1365-1380
    • (2008) Applied Soft Computing , vol.8 , pp. 1365-1380
    • Zio, E.1    Baraldi, P.2    Gola, G.3
  • 34
    • 24044547645 scopus 로고    scopus 로고
    • Controlling the diversity in classifier ensembles though a measure of agreement
    • Zouari H., Heutte L., and Lecourtier Y. Controlling the diversity in classifier ensembles though a measure of agreement. Pattern Recognition 39 (2006) 2195-2199
    • (2006) Pattern Recognition , vol.39 , pp. 2195-2199
    • Zouari, H.1    Heutte, L.2    Lecourtier, Y.3
  • 35
    • 63449121576 scopus 로고    scopus 로고
    • Statistical methods for low speed planetary gearbox monitoring (12 pp.)
    • Technical Report, Department of Mechanical Engineering, University of Alberta, Edmonton, November 29
    • Zuo, M. J., Li, W., & Fan, X. F. (2005). Statistical methods for low speed planetary gearbox monitoring (12 pp.). Technical Report, Department of Mechanical Engineering, University of Alberta, Edmonton, November 29, 2005.
    • (2005)
    • Zuo, M.J.1    Li, W.2    Fan, X.F.3
  • 36
    • 24144440092 scopus 로고    scopus 로고
    • Feature separation using ICA for a one-dimensional time series and its application in fault detection
    • Zuo M.J., Lin J., and Fan X.F. Feature separation using ICA for a one-dimensional time series and its application in fault detection. Journal of Sound and Vibration 287 (2005) 614-624
    • (2005) Journal of Sound and Vibration , vol.287 , pp. 614-624
    • Zuo, M.J.1    Lin, J.2    Fan, X.F.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.