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Volumn 2, Issue , 2007, Pages 580-584

A neural-fuzzy pattern recognition algorithm based cutting tool condition monitoring procedure

Author keywords

[No Author keywords available]

Indexed keywords

ACOUSTIC EMISSIONS; ACOUSTIC TRANSDUCERS; CONDITION MONITORING; CUTTING TOOLS; FUZZY NEURAL NETWORKS; METAL CUTTING; WEAR OF MATERIALS;

EID: 38049042395     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICNC.2007.82     Document Type: Conference Paper
Times cited : (4)

References (10)
  • 1
    • 0029378958 scopus 로고
    • Force-based Model for Tool Wear Monitoring in Face Milling
    • S.C. Lin, and R.J. Yang, "Force-based Model for Tool Wear Monitoring in Face Milling", Int. J. Machine Tools and Manufacturing, Vol. 9, 1995, pp. 1201-1211
    • (1995) Int. J. Machine Tools and Manufacturing , vol.9 , pp. 1201-1211
    • Lin, S.C.1    Yang, R.J.2
  • 2
    • 0026062847 scopus 로고    scopus 로고
    • M.A Elbestawi, T.A. Papazafiriou, and R.X. Du, R. X., In-process Monitoring of Tool Wear in Milling Using Cutting Force Signature, Int. J. Machine Tools Manufacturing. 1, 1991, pp. 55-73.
    • M.A Elbestawi, T.A. Papazafiriou, and R.X. Du, R. X., "In-process Monitoring of Tool Wear in Milling Using Cutting Force Signature", Int. J. Machine Tools Manufacturing. Vol. 1, 1991, pp. 55-73.
  • 3
    • 0034174159 scopus 로고    scopus 로고
    • On-line Metal Cutting Tool Condition Monitoring. I: Force and Vibration Analyses
    • D.E. Dimla, P.M. Lister, "On-line Metal Cutting Tool Condition Monitoring. I: Force and Vibration Analyses", Int. J. of Machine Tools and Manufacturing, Vol. 5, 2000, pp. 739-768.
    • (2000) Int. J. of Machine Tools and Manufacturing , vol.5 , pp. 739-768
    • Dimla, D.E.1    Lister, P.M.2
  • 4
    • 0034174102 scopus 로고    scopus 로고
    • On-line Metal Cutting Tool Condition Monitoring. II: Tool-state Classification using Multi-layer Perceptron Neural Networks
    • D.E. Dimla, P. M. Lister, "On-line Metal Cutting Tool Condition Monitoring. II: Tool-state Classification using Multi-layer Perceptron Neural Networks", Int. J. of Machine Tools and Manufacturing, Vol. 5, 2000, pp. 769-781.
    • (2000) Int. J. of Machine Tools and Manufacturing , vol.5 , pp. 769-781
    • Dimla, D.E.1    Lister, P.M.2
  • 5
    • 0033329145 scopus 로고    scopus 로고
    • Tool wear Prediction from Acoustic Emission and Surface Characteristics via an Artificial Neural Network
    • P. Wilkinson, R. L. Reuben, J.D.C. Jones, et al., "Tool wear Prediction from Acoustic Emission and Surface Characteristics via an Artificial Neural Network", Mechanical Systems and Signal Processing, Vol. 6, 1999, pp. 955-966.
    • (1999) Mechanical Systems and Signal Processing , vol.6 , pp. 955-966
    • Wilkinson, P.1    Reuben, R.L.2    Jones, J.D.C.3
  • 8
    • 0036027397 scopus 로고    scopus 로고
    • On-line Tool Wear Estimation in CNC Turning Operations Using Fuzzy Neural Network Model
    • C. Chungchoo, D. Saini, "On-line Tool Wear Estimation in CNC Turning Operations Using Fuzzy Neural Network Model", Int. J. of Machine Tools and Manufacture. Vol. 1, 2002, pp. 29-40.
    • (2002) Int. J. of Machine Tools and Manufacture , vol.1 , pp. 29-40
    • Chungchoo, C.1    Saini, D.2
  • 9
    • 0035443955 scopus 로고    scopus 로고
    • B. Sick, Tool Wear Monitoring in Turning: A Neural Network Application, Measurement and Control, 7, 2001, pp. 207-211+222.
    • B. Sick, "Tool Wear Monitoring in Turning: A Neural Network Application", Measurement and Control, Vol. 7, 2001, pp. 207-211+222.
  • 10
    • 38049084813 scopus 로고    scopus 로고
    • M. Brown, C.J. Harris, Neurofuzzy Adaptive Modeling and Control, Prentice Hall International, U.K. Ltd., London, 1994.
    • M. Brown, C.J. Harris, "Neurofuzzy Adaptive Modeling and Control", Prentice Hall International, U.K. Ltd., London, 1994.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.