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Volumn 57, Issue 6, 2006, Pages 516-527

Flexible software for condition monitoring, incorporating novelty detection and diagnostics

Author keywords

Condition monitoring; Fault diagnosis; Neural networks; Novelty detection

Indexed keywords

COMPUTER AIDED SOFTWARE ENGINEERING; COMPUTER SOFTWARE; DATA ACQUISITION; MACHINE TOOLS; NEURAL NETWORKS; PROGRAM DIAGNOSTICS;

EID: 33746237589     PISSN: 01663615     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compind.2006.02.012     Document Type: Article
Times cited : (31)

References (12)
  • 1
    • 33646534620 scopus 로고    scopus 로고
    • A review on machinery diagnostics and prognostics implementing condition based maintenance
    • Jardine A.K.S., Lin D., and Banjevic D. A review on machinery diagnostics and prognostics implementing condition based maintenance. Mech. Syst. Signal Process. 20 7 (2006) 1483-1510
    • (2006) Mech. Syst. Signal Process. , vol.20 , Issue.7 , pp. 1483-1510
    • Jardine, A.K.S.1    Lin, D.2    Banjevic, D.3
  • 8
    • 3242723817 scopus 로고    scopus 로고
    • Evolutionary multiobjective feature selection and ROC analysis with application to industrial machinery fault diagnosis
    • Giannakoglou K., Tsahalis D., Periaux J., Papailiou K., and Fogarty T. (Eds), CIMNE, Barcelona. 84-89925-97-6
    • Emmanouilidis C. Evolutionary multiobjective feature selection and ROC analysis with application to industrial machinery fault diagnosis. In: Giannakoglou K., Tsahalis D., Periaux J., Papailiou K., and Fogarty T. (Eds). Chapter in Evolutionary Methods for Design Optimisation and Control (2002), CIMNE, Barcelona. 84-89925-97-6
    • (2002) Chapter in Evolutionary Methods for Design Optimisation and Control
    • Emmanouilidis, C.1
  • 9
    • 9444274138 scopus 로고    scopus 로고
    • Selection of diagnostic techniques and instrumentation in a predictive maintenance program. A case study
    • Carnero M.C. Selection of diagnostic techniques and instrumentation in a predictive maintenance program. A case study. Decision Support Syst. 38 (2005) 539-555
    • (2005) Decision Support Syst. , vol.38 , pp. 539-555
    • Carnero, M.C.1
  • 10
    • 33746179709 scopus 로고    scopus 로고
    • E. Jantunen, A. Helle, P. Varis (VTT), V. Vaskelainen, J. Salonen (Laske Oy), J. MacIntyre, C. Emmanouilidis, B. Mattheys (University of Sunderland), T. Holroyd (Holroyd Ltd), VTT Research Report, BVAL73-011188. PIMMS SYSTEM INTEGRATION, 2002.
  • 11
    • 0025206332 scopus 로고
    • Probabilistic neural networks
    • Specht D.F. Probabilistic neural networks. Neural Netw. 3 (1990) 109-118
    • (1990) Neural Netw. , vol.3 , pp. 109-118
    • Specht, D.F.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.