메뉴 건너뛰기




Volumn 35, Issue , 2014, Pages 71-83

Improved decision tree construction based on attribute selection and data sampling for fault diagnosis in rotating machines

Author keywords

Attribute selection; Data sampling; Decision tree construction; Pruning; Research graph

Indexed keywords

DECISION TREES; FAILURE ANALYSIS; FAULT DETECTION; ROTATING MACHINERY;

EID: 84906097068     PISSN: 09521976     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.engappai.2014.06.010     Document Type: Article
Times cited : (50)

References (47)
  • 2
    • 2942558589 scopus 로고    scopus 로고
    • New applications of the real cepstrum to gear signals, including definition of a robust fault indicator
    • M.E. Badaoui, F. Guillet, and J. Daniere New applications of the real cepstrum to gear signals, including definition of a robust fault indicator Mech. Syst. Signal Process. 18 2004 1031 1046
    • (2004) Mech. Syst. Signal Process. , vol.18 , pp. 1031-1046
    • Badaoui, M.E.1    Guillet, F.2    Daniere, J.3
  • 3
    • 0035520683 scopus 로고    scopus 로고
    • A comparative study of acoustic and vibration signals in detection of gear failures using Wigner-Ville distribution
    • N. Baydar, and A. Ball A comparative study of acoustic and vibration signals in detection of gear failures using Wigner-Ville distribution Mech. Syst. Signal Process. 15 2001 1091 1107
    • (2001) Mech. Syst. Signal Process. , vol.15 , pp. 1091-1107
    • Baydar, N.1    Ball, A.2
  • 4
    • 59049083075 scopus 로고    scopus 로고
    • On incremental wrapper-based attribute selection: Experimental analysis of the relevance criteria
    • Bermejo, P.; Gámez, J.; Puerta, J.; 2008. On incremental wrapper-based attribute selection: experimental analysis of the relevance criteria. In: Proceedings of IPMU'08, pp. 638-645.
    • (2008) Proceedings of IPMU'08 , pp. 638-645
    • Bermejo, P.1    Gámez, J.2    Puerta, J.3
  • 5
    • 80052421871 scopus 로고    scopus 로고
    • Fast wrapper feature subset selection in high-dimensional datasets by means of filter re-ranking
    • P. Bermejo, L. de la Ossa, J.A. Gámez, and J.M. Puerta Fast wrapper feature subset selection in high-dimensional datasets by means of filter re-ranking Knowl.-Based Syst. 25 2012 35 44
    • (2012) Knowl.-Based Syst. , vol.25 , pp. 35-44
    • Bermejo, P.1    De La Ossa, L.2    Gámez, J.A.3    Puerta, J.M.4
  • 6
    • 0003408496 scopus 로고    scopus 로고
    • University of California, Department of Information and Computer Science, Irvine, CA
    • Blake, C.L.; Merz, C.J.; 1998. UCI Repository of Machine Learning Databases http://www.ics.uci.edu/~mlearn/mlrepository.html University of California, Department of Information and Computer Science, Irvine, CA, p. 460.
    • (1998) UCI Repository of Machine Learning Databases , pp. 460
    • Blake, C.L.1    Merz, C.J.2
  • 10
    • 84906083360 scopus 로고
    • How useful is relevance?
    • R. Caruana, and D. Freitag How useful is relevance? FOCUS 14 1994 2
    • (1994) FOCUS , vol.14 , pp. 2
    • Caruana, R.1    Freitag, D.2
  • 11
    • 79955607648 scopus 로고    scopus 로고
    • Rotor fault diagnosis system based on SGA-based individual neural networks
    • C.S. Chen, and J.S. Chen Rotor fault diagnosis system based on SGA-based individual neural networks Expert Syst. Appl. 38 2011 10822 10830
    • (2011) Expert Syst. Appl. , vol.38 , pp. 10822-10830
    • Chen, C.S.1    Chen, J.S.2
  • 13
    • 79151474872 scopus 로고    scopus 로고
    • Application of multiclass support vector machines for fault diagnosis of field air defense gun
    • S. Deng, S.Y. Lin, and W.L. Chang Application of multiclass support vector machines for fault diagnosis of field air defense gun Expert Syst. Appl. 38 2011 6007 6013
    • (2011) Expert Syst. Appl. , vol.38 , pp. 6007-6013
    • Deng, S.1    Lin, S.Y.2    Chang, W.L.3
  • 14
    • 45249094142 scopus 로고    scopus 로고
    • Detection of rolling bearing defects using discrete wavelet analysis
    • A. Djebala, N. Ouelaa, and N. Hamzaoui Detection of rolling bearing defects using discrete wavelet analysis Meccanica 43 2008 339 348
    • (2008) Meccanica , vol.43 , pp. 339-348
    • Djebala, A.1    Ouelaa, N.2    Hamzaoui, N.3
  • 16
    • 0036137123 scopus 로고    scopus 로고
    • A quality index for decision tree pruning
    • D. Fournier, and B. Crémilleux A quality index for decision tree pruning Knowl.Based Syst. 15 2002 37 43
    • (2002) Knowl.Based Syst. , vol.15 , pp. 37-43
    • Fournier, D.1    Crémilleux, B.2
  • 18
    • 0242410408 scopus 로고    scopus 로고
    • Benchmarking attribute selection techniques for discrete class data mining
    • M.A. Hall, and G. Holmes Benchmarking attribute selection techniques for discrete class data mining IEEE Trans. Knowl. Data Eng. 15 2003 1437 1447
    • (2003) IEEE Trans. Knowl. Data Eng. , vol.15 , pp. 1437-1447
    • Hall, M.A.1    Holmes, G.2
  • 19
    • 33745768136 scopus 로고    scopus 로고
    • A hybrid GA/SVM approach for gene selection and classification of microarray data
    • Springer
    • Huerta, E.B.; Duval, B.; Hao, J.K.; 2006. A hybrid GA/SVM approach for gene selection and classification of microarray data. In: Applications of Evolutionary Computing. Springer, pp. 34-44.
    • (2006) Applications of Evolutionary Computing , pp. 34-44
    • Huerta, E.B.1    Duval, B.2    Hao, J.K.3
  • 21
    • 78751629036 scopus 로고    scopus 로고
    • Fault diagnosis of ball bearings using continuous wavelet transform
    • P. Kankar, S.C. Sharma, and S. Harsha Fault diagnosis of ball bearings using continuous wavelet transform Appl. Soft Comput. 11 2011 2300 2312
    • (2011) Appl. Soft Comput. , vol.11 , pp. 2300-2312
    • Kankar, P.1    Sharma, S.C.2    Harsha, S.3
  • 22
    • 84867856511 scopus 로고    scopus 로고
    • Decision tree selection in an industrial machine fault diagnostics
    • Springer
    • Karabadji, N.E.I.; Seridi, H.; Khelf, I.; Laouar, L.; 2012. Decision tree selection in an industrial machine fault diagnostics. In: Model and Data Engineering. Springer, pp. 129-140.
    • (2012) Model and Data Engineering , pp. 129-140
    • Karabadji, N.E.I.1    Seridi, H.2    Khelf, I.3    Laouar, L.4
  • 24
    • 0031381525 scopus 로고    scopus 로고
    • Wrappers for feature subset selection
    • R. Kohavi, and G.H. John Wrappers for feature subset selection Artif. Intell. 97 1997 273 324
    • (1997) Artif. Intell. , vol.97 , pp. 273-324
    • Kohavi, R.1    John, G.H.2
  • 26
    • 17044405923 scopus 로고    scopus 로고
    • Toward integrating feature selection algorithms for classification and clustering
    • H. Liu, and L. Yu Toward integrating feature selection algorithms for classification and clustering IEEE Trans. Knowl. Data Eng. 17 2005 491 502
    • (2005) IEEE Trans. Knowl. Data Eng. , vol.17 , pp. 491-502
    • Liu, H.1    Yu, L.2
  • 27
    • 84878012828 scopus 로고    scopus 로고
    • A new pruning method for decision tree based on structural risk of leaf node
    • L. Luo, X. Zhang, H. Peng, W. Lv, and Y. Zhang A new pruning method for decision tree based on structural risk of leaf node Neural Comput. Appl. 2013 1 10
    • (2013) Neural Comput. Appl. , pp. 1-10
    • Luo, L.1    Zhang, X.2    Peng, H.3    Lv, W.4    Zhang, Y.5
  • 29
    • 0024700097 scopus 로고
    • A theory for multiresolution signal decomposition the wavelet representation
    • S.G. Mallat A theory for multiresolution signal decomposition the wavelet representation IEEE Trans. Pattern Anal. Mach. Intell. 11 1989 674 693
    • (1989) IEEE Trans. Pattern Anal. Mach. Intell. , vol.11 , pp. 674-693
    • Mallat, S.G.1
  • 30
    • 0023108498 scopus 로고
    • Expert systems-rule induction with statistical data
    • J. Mingers Expert systems-rule induction with statistical data J. Oper. Res. Soc. 1987 39 47
    • (1987) J. Oper. Res. Soc. , pp. 39-47
    • Mingers, J.1
  • 31
    • 79952785777 scopus 로고
    • An empirical comparison of pruning methods for decision tree induction
    • J. Mingers An empirical comparison of pruning methods for decision tree induction Mach. Learn. 4 1989 227 243
    • (1989) Mach. Learn. , vol.4 , pp. 227-243
    • Mingers, J.1
  • 35
    • 36148986492 scopus 로고    scopus 로고
    • Input data for decision trees
    • S. Piramuthu Input data for decision trees Expert Syst. Appl. 34 2008 1220 1226
    • (2008) Expert Syst. Appl. , vol.34 , pp. 1220-1226
    • Piramuthu, S.1
  • 36
    • 0042346121 scopus 로고    scopus 로고
    • Tree induction for probability-based ranking
    • F. Provost, and P. Domingos Tree induction for probability-based ranking Mach. Learn. 52 2003 199 215
    • (2003) Mach. Learn. , vol.52 , pp. 199-215
    • Provost, F.1    Domingos, P.2
  • 37
  • 39
    • 33748416594 scopus 로고    scopus 로고
    • Incremental wrapper-based gene selection from microarray data for cancer classification
    • R. Ruiz, J.C. Riquelme, and J.S. Aguilar-Ruiz Incremental wrapper-based gene selection from microarray data for cancer classification Pattern Recognit. 39 2006 2383 2392
    • (2006) Pattern Recognit. , vol.39 , pp. 2383-2392
    • Ruiz, R.1    Riquelme, J.C.2    Aguilar-Ruiz, J.S.3
  • 40
    • 77249155059 scopus 로고    scopus 로고
    • Vibration based fault diagnosis of monoblock centrifugal pump using decision tree
    • N. Sakthivel, V. Sugumaran, and S. Babudevasenapati Vibration based fault diagnosis of monoblock centrifugal pump using decision tree Expert Syst. Appl. 37 2010 4040 4049
    • (2010) Expert Syst. Appl. , vol.37 , pp. 4040-4049
    • Sakthivel, N.1    Sugumaran, V.2    Babudevasenapati, S.3
  • 42
    • 33750591809 scopus 로고    scopus 로고
    • Feature selection using decision tree and classification through proximal support vector machine for fault diagnostics of roller bearing
    • V. Sugumaran, V. Muralidharan, and K. Ramachandran Feature selection using decision tree and classification through proximal support vector machine for fault diagnostics of roller bearing Mech. Syst. Signal Process. 21 2007 930 942
    • (2007) Mech. Syst. Signal Process. , vol.21 , pp. 930-942
    • Sugumaran, V.1    Muralidharan, V.2    Ramachandran, K.3
  • 43
    • 34047251878 scopus 로고    scopus 로고
    • Automatic rule learning using decision tree for fuzzy classifier in fault diagnosis of roller bearing
    • V. Sugumaran, and K. Ramachandran Automatic rule learning using decision tree for fuzzy classifier in fault diagnosis of roller bearing Mech. Syst. Signal Process. 21 2007 2237 2247
    • (2007) Mech. Syst. Signal Process. , vol.21 , pp. 2237-2247
    • Sugumaran, V.1    Ramachandran, K.2
  • 44
    • 0003076895 scopus 로고    scopus 로고
    • Feature selection for high-dimensional genomic microarray data
    • Xing, E.P.; Jordan, M.I.; Karp, R.M.; et al.; 2001. Feature selection for high-dimensional genomic microarray data. In: ICML, pp. 601-608.
    • (2001) ICML , pp. 601-608
    • Xing, E.P.1    Jordan, M.I.2    Karp, R.M.3
  • 45
    • 17844375127 scopus 로고    scopus 로고
    • VIBEX an expert system for vibration fault diagnosis of rotating machinery using decision tree and decision table
    • B.S. Yang, D.S. Lim, and A.C.C. Tan VIBEX an expert system for vibration fault diagnosis of rotating machinery using decision tree and decision table Expert Syst. Appl. 28 2005 735 742
    • (2005) Expert Syst. Appl. , vol.28 , pp. 735-742
    • Yang, B.S.1    Lim, D.S.2    Tan, A.C.C.3
  • 47
    • 43049157582 scopus 로고    scopus 로고
    • Comparison of decision tree methods for finding active objects
    • Y. Zhao, and Y. Zhang Comparison of decision tree methods for finding active objects Adv. Space Res. 41 2008 1955 1959
    • (2008) Adv. Space Res. , vol.41 , pp. 1955-1959
    • Zhao, Y.1    Zhang, Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.