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Volumn , Issue , 2007, Pages 729-732

Fault diagnosis of induction motor using decision tree with an optimal feature selection

Author keywords

[No Author keywords available]

Indexed keywords

DECISION TREES; EXPERT SYSTEMS; FEATURE EXTRACTION; GENETIC ALGORITHMS; POWER ELECTRONICS; TREES (MATHEMATICS);

EID: 58149104059     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPE.2007.4692484     Document Type: Conference Paper
Times cited : (8)

References (16)
  • 2
    • 17844362636 scopus 로고    scopus 로고
    • An Efficient Method of Vibration Diagnostics for Rotating Machinery using a Decision Tree
    • Bo Suk Yang, Chul Hyun Park, Ho Jong Kim, "An Efficient Method of Vibration Diagnostics for Rotating Machinery using a Decision Tree", International Journal of Rotating Machinery, Vol. 6, 2000, No. 1, pp. 19-27.
    • (2000) International Journal of Rotating Machinery , vol.6 , Issue.1 , pp. 19-27
    • Bo, S.1    Hyun Park, C.2    Ho, J.3
  • 3
    • 38049075354 scopus 로고    scopus 로고
    • An Expert System for Vibration Diagnosis of Rotating Machinery using Decision Tree
    • Dong Soo Lim, Bo Suk Yang, Dong Jo Kim, "An Expert System for Vibration Diagnosis of Rotating Machinery using Decision Tree", International Journal of COMADEM, 2000, pp. 31- 36.
    • (2000) International Journal of COMADEM , pp. 31-36
    • Dong, S.1    Bo, S.2    Kim, D.J.3
  • 4
    • 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, K. I. Ramachandran, "Feature selection using Decision Tree and classification through Proximal Support Vector Machine for fault diagnostics of roller bearing", Mechanical Systems and Signal Processing 21, 2007, pp. 930-942.
    • (2007) Mechanical Systems and Signal Processing , vol.21 , pp. 930-942
    • Sugumaran, V.1    Muralidharan, V.2    Ramachandran, K.I.3
  • 5
    • 33750481498 scopus 로고    scopus 로고
    • Combination of independent component analysis and support vector machines for intelligent faults diagnosis of induction motors
    • Achmad Widodo, Bo-Suk Yang, Tian Han, "Combination of independent component analysis and support vector machines for intelligent faults diagnosis of induction motors", Expert Systems with Applications 32, 2007, pp. 299-312.
    • (2007) Expert Systems with Applications , vol.32 , pp. 299-312
    • Widodo, A.1    Yang, B.-S.2    Han, T.3
  • 6
    • 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
    • J. Yang, et al., "Intelligent fault diagnosis of rolling element bearing based on SVMs and fractal dimension", Mechanical Systems and Signal Processing, 2006, doi: 10.1016/j.ymssp.2006.10.005.
    • Mechanical Systems and Signal Processing , vol.2006
    • Yang, J.1
  • 7
    • 37049001259 scopus 로고    scopus 로고
    • Application of nonlinear feature extraction and support vector machines for fault diagnosis of induction motors
    • Achmad Widodo, Bo-Suk Yang, "Application of nonlinear feature extraction and support vector machines for fault diagnosis of induction motors", Expert Systems with Applications, 2006.
    • (2006) Expert Systems with Applications
    • Widodo, A.1    Yang, B.-S.2
  • 8
    • 33646512202 scopus 로고    scopus 로고
    • Practical scheme for fast detection and classification of rolling-element bearing faults using support vector machines
    • Alfonso Rojas, Asoke K. Nandi, "Practical scheme for fast detection and classification of rolling-element bearing faults using support vector machines", Mechanical Systems and Signal Processing 20, 2006, pp. 1523-1536.
    • (2006) Mechanical Systems and Signal Processing , vol.20 , pp. 1523-1536
    • Rojas, A.1    Nandi, A.K.2
  • 9
    • 0037345899 scopus 로고    scopus 로고
    • Artificial Neural Network based fault diagnostics of rolling element bearings using time-domain features
    • B. Samanta, K. R. Al-Balushi, "Artificial Neural Network based fault diagnostics of rolling element bearings using time-domain features", Mechanical Systems and Signal Processing 17, 2003, pp. 317-328.
    • (2003) Mechanical Systems and Signal Processing , vol.17 , pp. 317-328
    • Samanta, B.1    Al-Balushi, K.R.2
  • 10
    • 29444460051 scopus 로고    scopus 로고
    • Artificial neural networks and genetic algorithm for bearing fault detection
    • B. Samanta, K. R. Al-Balushi, S. A. Al-Araimi, "Artificial neural networks and genetic algorithm for bearing fault detection", Soft Coput., 2006, pp. 264-271.
    • (2006) Soft Coput , pp. 264-271
    • Samanta, B.1    Al-Balushi, K.R.2    Al-Araimi, S.A.3
  • 13
    • 24344500897 scopus 로고    scopus 로고
    • Multi-fault diagnosis of rolling bearing elements using wavelet analysis and hidden Markov model based fault recognition
    • V. Purushotham, S. Narayanan, Suryanarayana A.N. Prasad, "Multi-fault diagnosis of rolling bearing elements using wavelet analysis and hidden Markov model based fault recognition", NDT&E International 38, 2005, pp. 654-664.
    • (2005) NDT&E International , vol.38 , pp. 654-664
    • Purushotham, V.1    Narayanan, S.2    Suryanarayana, A.N.3    Prasad4
  • 15
    • 33748076461 scopus 로고    scopus 로고
    • A GA-based feature selection and parameters optimization for support vector machines
    • Cheng-Lung Huang, Chieh-Jen Wang, "A GA-based feature selection and parameters optimization for support vector machines", Expert Systems with Applications 31,2006, pp. 231 -240.
    • (2006) Expert Systems with Applications , vol.31 , pp. 231-240
    • Huang, C.-L.1    Wang, C.-J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.