메뉴 건너뛰기




Volumn 224, Issue 1, 2010, Pages 217-229

Fault diagnosis based on support vector machines with parameter optimization by an ant colony algorithm

Author keywords

Ant colony optimization algorithm; Fault diagnosis; Parameter optimization; Support vector machines

Indexed keywords

ANT COLONY ALGORITHMS; ANT COLONY OPTIMIZATION ALGORITHMS; ANT-COLONY OPTIMIZATION; FAULT DIAGNOSIS; FAULT DIAGNOSIS METHOD; GENERALIZATION PERFORMANCE; MACHINERY FAULTS; OPTIMAL PARAMETER; PARAMETER OPTIMIZATION; SMALL SAMPLE CASE;

EID: 76349102342     PISSN: 09544062     EISSN: None     Source Type: Journal    
DOI: 10.1243/09544062JMES1731     Document Type: Article
Times cited : (47)

References (35)
  • 1
    • 0035153670 scopus 로고    scopus 로고
    • Support vector machines for detection and characterization of rolling element bearing faults
    • Jack, L. B. and Nandi, A. K. Support vector machines for detection and characterization of rolling element bearing faults. Proc.IMechE,PartC: J.Mechanical Engineering Science, 2001, 215(9), 1065-1074.
    • (2001) Proc. IMech E, Part C: J. Mechanical Engineering Science , vol.215 , Issue.9 , pp. 1065-1074
    • Jack, L.B.1    Nandi, A.K.2
  • 2
    • 33646534620 scopus 로고    scopus 로고
    • A review on machinery diagnostics and prognostics implementing condition-based maintenance
    • Jardine, A. K. S., Lin, D. M., and Banjevic, D. A review on machinery diagnostics and prognostics implementing condition-based maintenance. Mech. Syst. Signal Process., 2006, 20(7), 1483-1510.
    • (2006) Mech. Syst. Signal Process. , vol.20 , Issue.7 , pp. 1483-1510
    • Jardine, A.K.S.1    Lin, D.M.2    Banjevic, D.3
  • 3
    • 62149085107 scopus 로고    scopus 로고
    • Damage localization in hydraulic turbine blades using kernel-independent component analysis and support vector machines
    • DOI: 10.1243/09544062JMES1296
    • Wang, X. H., Mao, H. L., Zhu, C. M., and Huang, Z. F. Damage localization in hydraulic turbine blades using kernel-independent component analysis and support vector machines. Proc. IMechE, Part C: J. Mechanical Engineering Science, 2009, 223(2), 525-529. DOI: 10.1243/09544062JMES1296.
    • (2009) Proc. IMechE Part C: J. Mechanical Engineering Science , vol.223 , Issue.2 , pp. 525-529
    • Wang, X.H.1    Mao, H.L.2    Zhu, C.M.3    Huang, Z.F.4
  • 4
    • 70349612765 scopus 로고    scopus 로고
    • Condition prediction based on wavelet packet transform and least squares support vector machine methods
    • DOI: 10.1243/09544089JPME220
    • Zhao, F., Chen, J., and Xu,W. Condition prediction based on wavelet packet transform and least squares support vector machine methods. Proc. IMechE, Part E: J. Process Mechanical Engineering, 2009, 223(2), 71-79. DOI: 10.1243/09544089JPME220.
    • (2009) Proc. IMechE Part E: J. Process Mechanical Engineering , vol.223 , Issue.2 , pp. 71-79
    • Zhao, F.1    Chen, J.2    Xu, W.3
  • 5
    • 34548035641 scopus 로고    scopus 로고
    • Rolling element bearings multi-fault classification based on the wavelet denoising and support vector machine
    • Abbasion, S., Rafsanjani, A., Farshidianfar, A., and Irani, N. Rolling element bearings multi-fault classification based on the wavelet denoising and support vector machine. Mech. Syst. Signal Process., 2007, 21(7), 2933-2945.
    • (2007) Mech. Syst. Signal Process. , vol.21 , Issue.7 , pp. 2933-2945
    • Abbasion, S.1    Rafsanjani, A.2    Farshidianfar, A.3    Irani, N.4
  • 6
    • 33845623677 scopus 로고    scopus 로고
    • Application of nonlinear feature extraction and support vector machines for fault diagnosis of induction motors
    • Widodo, A. and Yang, B. S. Application of nonlinear feature extraction and support vector machines for fault diagnosis of induction motors. Expert Syst. Appl., 2007, 33(1), 241-250.
    • (2007) Expert Syst. Appl. , vol.33 , Issue.1 , pp. 241-250
    • Widodo, A.1    Yang, B.S.2
  • 7
    • 34047275789 scopus 로고    scopus 로고
    • Intelligent fault diagnosis of rolling element bearing based on SVMS and fractal dimension
    • Yang, J. Y., Zhang, Y. Y., and Zhu, Y. S. Intelligent fault diagnosis of rolling element bearing based on SVMS and fractal dimension.Mech. Syst. Signal Process., 2007, 21(5), 2012-2024.
    • (2007) Mech. Syst. Signal Process. , vol.21 , Issue.5 , pp. 2012-2024
    • Yang, J.Y.1    Zhang, Y.Y.2    Zhu, Y.S.3
  • 8
    • 0347526092 scopus 로고    scopus 로고
    • Artificial neural network and support vector machine with genetic algorithm for bearing fault detection
    • Samanta, B., Al-Balushi, K. R., and Al-Araimi, S. A. Artificial neural network and support vector machine with genetic algorithm for bearing fault detection. Engng. Appl. Artif. Intell., 2003, 16(7-8), 657-665.
    • (2003) Engng. Appl. Artif. Intell. , vol.16 , Issue.7-8 , pp. 657-665
    • Samanta, B.1    Al-Balushi, K.R.2    Al-Araimi, S.A.3
  • 9
    • 0942289503 scopus 로고    scopus 로고
    • Gear fault detection using artificial neural networks and support vector machines with genetic algorithm
    • Samanta, B. Gear fault detection using artificial neural networks and support vector machines with genetic algorithm. Mech. Syst. Signal Process., 2004, 18(3), 625-644.
    • (2004) Mech. Syst. Signal Process. , vol.18 , Issue.3 , pp. 625-644
    • Samanta, B.1
  • 10
    • 33845414646 scopus 로고    scopus 로고
    • Fault diagnosis basedonsupport vector machines with parameter optimization by artificial immunization algorithm
    • Yuan,S.F. and Chu,F. L.Fault diagnosis basedonsupport vector machines with parameter optimization by artificial immunization algorithm.Mech. Syst. Signal Process., 2007, 21(3), 1318-1330.
    • (2007) Mech. Syst. Signal Process. , vol.21 , Issue.3 , pp. 1318-1330
    • Yuan, S.F.1    Chu, F.L.2
  • 11
    • 33846837272 scopus 로고    scopus 로고
    • Fault diagnostics based on particle swarm optimisation and support vector machines
    • Yuan, S. F. and Chu, F. L. Fault diagnostics based on particle swarm optimisation and support vector machines. Mech. Syst. Signal Process., 2007, 21(4), 1787-1797.
    • (2007) Mech. Syst. Signal Process. , vol.21 , Issue.4 , pp. 1787-1797
    • Yuan, S.F.1    Chu, F.L.2
  • 12
    • 27644543634 scopus 로고    scopus 로고
    • Ant colony optimization theory: A survey
    • Dorigo,M. and Blum,C. Ant colony optimization theory: a survey. Theor. Comput. Sci., 2005, 344(2-3), 243-278.
    • (2005) Theor. Comput. Sci. , vol.344 , Issue.2-3 , pp. 243-278
    • Dorigo, M.1    Blum, C.2
  • 14
    • 34848884200 scopus 로고    scopus 로고
    • Ant colony optimization for continuous domains
    • Socha, K. and Dorigo, M. Ant colony optimization for continuous domains. Eur. J. Oper. Res., 2008, 185(3), 1155-1173.
    • (2008) Eur. J. Oper. Res. , vol.185 , Issue.3 , pp. 1155-1173
    • Socha, K.1    Dorigo, M.2
  • 16
    • 0036161011 scopus 로고    scopus 로고
    • Choosing multiple parameters for support vector machines
    • Chapelle,O.,Vapnik,V.,Bousquet,O.,andMukherjee, S. Choosing multiple parameters for support vector machines.Mach. Learn., 2002, 46(1), 131-159.
    • (2002) Mach. Learn. , vol.46 , Issue.1 , pp. 131-159
    • Chapelle, O.1    Vapnik, V.2    Bousquet, O.3    Mukherjee, S.4
  • 18
    • 33745706106 scopus 로고    scopus 로고
    • Research on the optimum configuration strategy for the adjustable parameters in ant colony algorithm
    • Duan, H. B. Wang, D. B., and Yu, X. F. Research on the optimum configuration strategy for the adjustable parameters in ant colony algorithm. J. Commun. Comput., 2005, 2(9), 32-35.
    • (2005) J. Commun. Comput. , vol.2 , Issue.9 , pp. 32-35
    • Duan, H.B.1    Wang, D.B.2    Yu, X.F.3
  • 19
    • 0030082551 scopus 로고    scopus 로고
    • Ant system: Optimization by a colony of cooperating agents
    • Dorigo, M., Maniezzo, V., and Colorni, A. Ant system: optimization by a colony of cooperating agents. IEEE Tans. Syst.Man Cybern. B, 1996, 26(1), 29-41.
    • (1996) IEEE Tans. Syst.Man Cybern. B , vol.26 , Issue.1 , pp. 29-41
    • Dorigo, M.1    Maniezzo, V.2    Colorni, A.3
  • 20
    • 0001631336 scopus 로고    scopus 로고
    • Evolving ant colony optimization
    • Botee, H. M. and Bonabeau, E. Evolving ant colony optimization. Adv. Complex Syst., 1998, 1(2), 149-159.
    • (1998) Adv. Complex Syst. , vol.1 , Issue.2 , pp. 149-159
    • Botee, H.M.1    Bonabeau, E.2
  • 21
    • 36448957975 scopus 로고    scopus 로고
    • Parameter's setting of the ant colony algorithm applied in preventive maintenance optimization
    • Samrout, M., Kouta, R., Yalaoui, F., Chǎtelet, E., and Chebbo, N. Parameter's setting of the ant colony algorithm applied in preventive maintenance optimization. J. Intell.Manuf., 2007, 18(6), 663-677.
    • (2007) J. Intell. Manuf. , vol.18 , Issue.6 , pp. 663-677
    • Samrout, M.1    Kouta, R.2    Yalaoui, F.3    Chǎtelet, E.4    Chebbo, N.5
  • 22
    • 0346306460 scopus 로고    scopus 로고
    • Application of the wavelet transform in machine condition monitoring and fault diagnosis: A review with bibliography
    • Peng, Z. K. and Chu, F. L. Application of the wavelet transform in machine condition monitoring and fault diagnosis: a review with bibliography. Mech. Syst. Signal Process., 2004, 18(6), 199-221.
    • (2004) Mech. Syst. Signal Process. , vol.18 , Issue.6 , pp. 199-221
    • Peng, Z.K.1    Chu, F.L.2
  • 23
    • 33746934565 scopus 로고    scopus 로고
    • Gearbox fault diagnosis using adaptive redundant lifting scheme
    • Jiang, H. K., He, Z. J., Duan, C. D., and Chen, P. Gearbox fault diagnosis using adaptive redundant lifting scheme. Mech. Syst. Signal Process., 2006, 20(8), 1992-2006.
    • (2006) Mech. Syst. Signal Process. , vol.20 , Issue.8 , pp. 1992-2006
    • Jiang, H.K.1    He, Z.J.2    Duan, C.D.3    Chen, P.4
  • 24
    • 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. Mech. Syst. Signal Process., 2007, 21(5), 2280-2294.
    • (2007) Mech. Syst. Signal Process. , vol.21 , Issue.5 , pp. 2280-2294
    • Lei, Y.G.1    He, Z.J.2    Zi, Y.Y.3    Hu, Q.4
  • 25
    • 55949097698 scopus 로고    scopus 로고
    • Bearing condition monitoring based on shock pulse method and improved redundant lifting scheme
    • Li, Z.,He, Z. J., Zi,Y.Y., and Chen, X. F. Bearing condition monitoring based on shock pulse method and improved redundant lifting scheme. Math. Comput. Simul., 2008, 79(3), 318-338.
    • (2008) Math. Comput. Simul. , vol.79 , Issue.3 , pp. 318-338
    • Li, Z.1    He, Z.J.2    Zi, Y.Y.3    Chen, X.F.4
  • 26
    • 30244489068 scopus 로고    scopus 로고
    • The lifting scheme: A custom-design construction of biorthogonal wavelets
    • Sweldens,W. The lifting scheme: a custom-design construction of biorthogonal wavelets. Appl. Comput. Harmon. Anal., 1996, 3(2), 186-200.
    • (1996) Appl. Comput. Harmon. Anal. , vol.3 , Issue.2 , pp. 186-200
    • Sweldens, W.1
  • 27
    • 0032388955 scopus 로고    scopus 로고
    • The lifting scheme: A construction of second generation wavelets
    • Sweldens,W. The lifting scheme: a construction of second generation wavelets. SIAM J. Math. Anal., 1997, 29(2), 511-546.
    • (1997) SIAM J. Math. Anal. , vol.29 , Issue.2 , pp. 511-546
    • Sweldens, W.1
  • 28
    • 18344410543 scopus 로고    scopus 로고
    • Factoring wavelet transform into lifting steps
    • Daubechies,I. and Sweldens,W. Factoring wavelet transform into lifting steps. J. Fourier Anal. Appl., 1998, 4(3), 245-267.
    • (1998) J. Fourier Anal. Appl. , vol.4 , Issue.3 , pp. 245-267
    • Daubechies, I.1    Sweldens, W.2
  • 30
    • 33750503791 scopus 로고    scopus 로고
    • Fault diagnosis of rotating machinery based on improved wavelet package transform and SVMs ensemble
    • Hu, Q.,He, Z. J., Zhang, Z. S., and Zi,Y. Y. Fault diagnosis of rotating machinery based on improved wavelet package transform and SVMs ensemble. Mech. Syst. Signal Process., 2007, 21(2), 688-705.
    • (2007) Mech. Syst. Signal Process. , vol.21 , Issue.2 , pp. 688-705
    • Hu, Q.1    He, Z.J.2    Zhang, Z.S.3    Zi, Y.Y.4
  • 31
    • 0942289508 scopus 로고    scopus 로고
    • ART-KOHONEN neural network for fault diagnosis of rotating machinery
    • Yang, B. S., Han, T., and An, J. L. ART-KOHONEN neural network for fault diagnosis of rotating machinery. Mech. Syst. Signal Process., 2004, 18(3), 645-657.
    • (2004) Mech. Syst. Signal Process. , vol.18 , Issue.3 , pp. 645-657
    • Yang, B.S.1    Han, T.2    An, J.L.3
  • 32
    • 28744446722 scopus 로고    scopus 로고
    • Fault diagnosis of rotating machinery based on multi-class support vector machines
    • Yang, B. S.,Han, T., and Hwang,W.W. Fault diagnosis of rotating machinery based on multi-class support vector machines. J.Mech. Sci. Technol., 2005, 19(3), 846-859.
    • (2005) J.Mech. Sci. Technol. , vol.19 , Issue.3 , pp. 846-859
    • Yang, B.S.1    Han, T.2    Hwang, W.W.3
  • 33
    • 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. Mech. Syst. Signal Process., 2008, 22(2), 419-435.
    • (2008) Mech. Syst. Signal Process. , vol.22 , Issue.2 , pp. 419-435
    • Lei, Y.G.1    He, Z.J.2    Zi, Y.Y.3    Chen, X.F.4
  • 34
    • 34848858238 scopus 로고    scopus 로고
    • A fault diagnosis approach for roller bearing based on IMF envelope spectrum and SVM
    • Yang, Y., Yu, D. J., and Cheng, J. S. A fault diagnosis approach for roller bearing based on IMF envelope spectrum and SVM.Measurement, 2007, 40(9-10), 943-950.
    • (2007) Measurement , vol.40 , Issue.9-10 , pp. 943-950
    • Yang, Y.1    Yu, D.J.2    Cheng, J.S.3
  • 35
    • 38649135047 scopus 로고    scopus 로고
    • Fault diagnostics of roller bearing using kernel based neighborhood score multi-class support vector machine
    • Sugumarran, V., Sabareesh, G. R., and Ramachandran, K. I. Fault diagnostics of roller bearing using kernel based neighborhood score multi-class support vector machine. Expert Syst. Appl., 2008, 34(4), 3090-3098.
    • (2008) Expert Syst. Appl. , vol.34 , Issue.4 , pp. 3090-3098
    • Sugumarran, V.1    Sabareesh, G.R.2    Ramachandran, K.I.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.