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Volumn , Issue 260, 1996, Pages

A comparison of artificial neural networks and other statistical methods for rotating machine condition classification

Author keywords

[No Author keywords available]

Indexed keywords


EID: 30144439565     PISSN: 09633308     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Review
Times cited : (1)

References (5)
  • 1
    • 0022025963 scopus 로고
    • Vibration analysis - A proven technique as a predictive maintenance tool
    • March
    • J. T. Renwick. Vibration analysis - a proven technique as a predictive maintenance tool. IEEE Transactions on Industry Applications, 21:324-332, March 1985.
    • (1985) IEEE Transactions on Industry Applications , vol.21 , pp. 324-332
    • Renwick, J.T.1
  • 2
    • 0025597157 scopus 로고
    • Neural network classification: A bayesian iterpretation
    • E.A. Wan. Neural network classification: A bayesian iterpretation. IEEE Transactions on Neural Networks, 1:303-305, 1990.
    • (1990) IEEE Transactions on Neural Networks , vol.1 , pp. 303-305
    • Wan, E.A.1
  • 4
    • 30144438241 scopus 로고    scopus 로고
    • Rotating machine condition classification using artificial neural networks
    • R. B. K. N. Rao, R. A. Smith, and J. L. Wearing, editors, University of Sheffield, July Sheffield Academic Press
    • A. C. McCormick and Nandi A. K. Rotating machine condition classification using artificial neural networks. In R. B. K. N. Rao, R. A. Smith, and J. L. Wearing, editors, Proceedings of COMADEM '96, pages 85-94, University of Sheffield, July 1996. Sheffield Academic Press.
    • (1996) Proceedings of COMADEM '96 , pp. 85-94
    • McCormick, A.C.1    Nandi, A.K.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.