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Volumn 27, Issue 1, 2013, Pages 36-49

A combination of support vector machine and k-nearest neighbors for machine fault detection

Author keywords

[No Author keywords available]

Indexed keywords

FAULT DETECTION; INDUCTION MOTORS; MOTION COMPENSATION; NEAREST NEIGHBOR SEARCH; ROLLER BEARINGS; TEXT PROCESSING;

EID: 84872330186     PISSN: 08839514     EISSN: 10876545     Source Type: Journal    
DOI: 10.1080/08839514.2013.747370     Document Type: Article
Times cited : (28)

References (13)
  • 5
    • 0029254014 scopus 로고
    • Intelligent diagnosis for turbine blade faults using artificial neural networks and fuzzy logic
    • Kuo, R. J. 1995. Intelligent diagnosis for turbine blade faults using artificial neural networks and fuzzy logic. Engineering Applications of Artificial Intelligence 8 (1): 25-34.
    • (1995) Engineering Applications of Artificial Intelligence , vol.8 , Issue.1 , pp. 25-34
    • Kuo, R.J.1
  • 7
    • 0016485619 scopus 로고
    • Vibration signature analysis - Techniques and instrument systems
    • Randall, R. B. 1975. Vibration signature analysis - Techniques and instrument systems. Noise Control and Vibration Reduction 6:81-89.
    • (1975) Noise Control and Vibration Reduction , vol.6 , pp. 81-89
    • Randall, R.B.1
  • 8
    • 33646512202 scopus 로고    scopus 로고
    • Practical scheme for fast detection and classification of rolling-element bearing faults using support vector machines
    • Rojas, A., and A. K. Nandi. 2006. Practical scheme for fast detection and classification of rolling-element bearing faults using support vector machines. Mechanical Systems and Signal Processing 20 (7): 1523-1536.
    • (2006) Mechanical Systems and Signal Processing , vol.20 , Issue.7 , pp. 1523-1536
    • Rojas, A.1    Nandi, A.K.2
  • 9
    • 0942289503 scopus 로고    scopus 로고
    • Gear fault detection using artificial neural networks and support vector machines with genetic algorithms
    • Samanta, B. 2004. Gear fault detection using artificial neural networks and support vector machines with genetic algorithms. Mechanical Systems and Signal Processing 18 (3): 625-644.
    • (2004) Mechanical Systems and Signal Processing , vol.18 , Issue.3 , pp. 625-644
    • Samanta, B.1
  • 10
    • 0347526092 scopus 로고    scopus 로고
    • Artificial neural networks and support vector machines with genetic algorithm for bearing fault detection
    • Samanta, B., K. R. Al-Balushi, and S. A. Al-Araimi. 2003. Artificial neural networks and support vector machines with genetic algorithm for bearing fault detection. Engineering Applications of Artificial Intelligence 16 (7-8): 657-665.
    • (2003) Engineering Applications of Artificial Intelligence , vol.16 , Issue.7-8 , pp. 657-665
    • Samanta, B.1    Al-Balushi, K.R.2    Al-Araimi, S.A.3
  • 12
    • 33845623677 scopus 로고    scopus 로고
    • Application of nonlinear feature extraction and support vector machines for fault diagnosis of induction motors
    • DOI 10.1016/j.eswa.2006.04.020, PII S0957417406001382
    • Widodo, A., and B.-S. Yang. 2007. Application of nonlinear feature extraction and support vector machines for fault diagnosis of induction motors. Expert Systems with Applications 33 (1): 241-250. (Pubitemid 44959934)
    • (2007) Expert Systems with Applications , vol.33 , Issue.1 , pp. 241-250
    • Widodo, A.1    Yang, B.-S.2
  • 13
    • 4344683640 scopus 로고    scopus 로고
    • Condition classification of small reciprocating compressor for refrigerators using artificial neural networks and support vector machines
    • Yang, B.-S., W.-W. Hwang, D.-J. Kim, and A. C. Tan. 2005. Condition classification of small reciprocating compressor for refrigerators using artificial neural networks and support vector machines. Mechanical Systems and Signal Processing 19 (2): 371-390.
    • (2005) Mechanical Systems and Signal Processing , vol.19 , Issue.2 , pp. 371-390
    • Yang, B.-S.1    Hwang, W.-W.2    Kim, D.-J.3    Tan, A.C.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.