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Volumn 4, Issue , 2003, Pages 3769-3774

Performance assessment of two classification schemes for cutting tool degradation monitoring

Author keywords

Artificial intelligence; Classification; Comparison; Hidden Markov model; Maintenance; Rough sets

Indexed keywords

CUTTING TOOLS; FAILURE ANALYSIS; MARKOV PROCESSES; MATHEMATICAL MODELS; ROUGH SET THEORY; STATISTICAL METHODS;

EID: 0242468870     PISSN: 08843627     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (2)

References (12)
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    • Rabiner, L.R.1
  • 9
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    • Rough classification of HSV patients
    • In Slowinski R. (ed.); Kluwer Academic Publishers, Dordrecht
    • K. Slowinski, "Rough classification of HSV patients", In Slowinski R. (ed.): Intelligent Decision Support, Kluwer Academic Publishers, Dordrecht, pp. 363-372, 1992.
    • (1992) Intelligent Decision Support , pp. 363-372
    • Slowinski, K.1
  • 12
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    • Tool wear monitoring in reconfigurable machining systems through wavelet analysis
    • L. Wang, M. G. Mehrabi, E. Kannatey-Asibu Jr., "Tool wear monitoring in reconfigurable machining systems through Wavelet analysis", Proc. of NAMRI, Vol 29, pp. 399-406, 2001.
    • (2001) Proc. of NAMRI , vol.29 , pp. 399-406
    • Wang, L.1    Mehrabi, M.G.2    Kannatey-Asibu Jr., E.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.