메뉴 건너뛰기




Volumn , Issue , 2009, Pages 943-949

Image histogram features based thermal image retrieval to pattern recognition of machine condition

Author keywords

Condition monitoring; Features; Pattern recognition; Thermal image

Indexed keywords

CLASSIFICATION PROCESS; CONVENTIONAL METHODS; FAULT PATTERNS; FEATURES; IMAGE HISTOGRAMS; MACHINE CONDITION MONITORING; MACHINE FAULT DIAGNOSIS; REMOTE DIAGNOSIS; THERMAL IMAGES;

EID: 84871514628     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (4)

References (13)
  • 2
    • 77955905251 scopus 로고    scopus 로고
    • The continued and future use of infrared use of infrared thermography
    • R. Thomas, The continued and future use of infrared use of infrared thermography, Proceeding of 2nd WCEAM. pp. 1897-1907.
    • Proceeding Of 2nd WCEAM. , pp. 1897-1907
    • Thomas, R.1
  • 3
    • 43049154359 scopus 로고    scopus 로고
    • Segmentation of thermal images for non-destructive evaluation of bridge decks
    • I.Abdel-Qader, S Yohali, O Abudayyeh and S Yehia. (2008) Segmentation of thermal images for non-destructive evaluation of bridge decks, NDT&E International, 41, pp. 395-405.
    • (2008) NDT&E International , vol.41 , pp. 395-405
    • Abdel-Qader, I.1    Yohali, S.2    Abudayyeh, O.3    Yehia, S.4
  • 4
    • 0031364149 scopus 로고    scopus 로고
    • A tool for reliability and safety: Predict and prevent equipment failure with thermography
    • R.A. Epperly, G.E. Herberlin and L.G. Eads(1997), A tool for reliability and safety: predict and prevent equipment failure with thermography, IEEE App. Soc. Procs. pp 59-68.
    • (1997) IEEE App. Soc. Procs. , pp. 59-68
    • Epperly, R.A.1    Herberlin, G.E.2    Eads, L.G.3
  • 6
    • 33845623677 scopus 로고    scopus 로고
    • Application of nolinear feature extraction and support vector machines for fault diagnosis of induction motors
    • A. Widodo and B.S. Yang. (2007) Application of nolinear feature extraction and support vector machines for fault diagnosis of induction motors. Expert System with Applications 33, 241-250.
    • (2007) Expert System with Applications , vol.33 , pp. 241-250
    • Widodo, A.1    Yang, B.S.2
  • 7
    • 2942560415 scopus 로고    scopus 로고
    • Artificial neural networks and genetic algorithms for gear fault detection
    • B SAMANTA. (2004) Artificial neural networks and genetic algorithms for gear fault detection. Mechanical Systems and Signal Processing. 18, 1273-1282.
    • (2004) Mechanical Systems and Signal Processing. , vol.18 , pp. 1273-1282
    • Samanta, B.1
  • 8
    • 0345978376 scopus 로고    scopus 로고
    • Fault detection using support vector, machines and artificial neural networks, augmented by genetic algorithms
    • L.B. Jack & A.K. Nandy. (2002) Fault detection using support vector, machines and artificial neural networks, augmented by genetic algorithms. Mechanical Systems and Signal Processing. 16, 373-390.
    • (2002) Mechanical Systems and Signal Processing. , vol.16 , pp. 373-390
    • Jack, L.B.1    Nandy, A.K.2
  • 9
    • 0031555597 scopus 로고    scopus 로고
    • Symbolic analysis of chaotic signals and turbulent fluctuation
    • M. Lehrman, A.B. Rechester & RB White. (1997), Symbolic analysis of chaotic signals and turbulent fluctuation. Physical Review Letters. 78, 54-57.
    • (1997) Physical Review Letters. , vol.78 , pp. 54-57
    • Lehrman, M.1    Rechester, A.B.2    White, R.B.3
  • 12
    • 0942289508 scopus 로고    scopus 로고
    • Art-kohonen neural network for fault diagnosis of rotating machinery
    • B.S. Yang, T.Han and J.L. An. (2004) ART-KOHONEN neural network for fault diagnosis of rotating machinery. Mechanical Systems and Signal Processing, 18, 645-657.
    • (2004) Mechanical Systems and Signal Processing , vol.18 , pp. 645-657
    • Yang, B.S.1    Han, T.2    An, J.L.3
  • 13
    • 3943082051 scopus 로고    scopus 로고
    • Pattern recognition for automatic machinery fault diagnosis. Transactions of the asme
    • S. Qiao, C. Ping, Z. Da, and Feng, X.(2004). Pattern recognition for automatic machinery fault diagnosis. Transactions of the ASME: Journal of Vibration and Acoustic. V126, 307-316.
    • (2004) Journal of Vibration and Acoustic. , vol.V126 , pp. 307-316
    • Qiao, S.1    Ping, C.2    Da, Z.3    Feng, X.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.