메뉴 건너뛰기




Volumn 38, Issue 13, 2000, Pages 2989-3010

Fuzzy controlled backpropagation neural network for tool condition monitoring in face milling

Author keywords

[No Author keywords available]

Indexed keywords

BACKPROPAGATION; CONVERGENCE OF NUMERICAL METHODS; FUZZY CONTROL; MILLING (MACHINING); MONITORING; WEAR OF MATERIALS;

EID: 0034633398     PISSN: 00207543     EISSN: 1366588X     Source Type: Journal    
DOI: 10.1080/00207540050117404     Document Type: Article
Times cited : (27)

References (34)
  • 1
    • 0031233460 scopus 로고    scopus 로고
    • Online prediction of surface finish and dimension deviation using neural network based sensor fusion
    • Azoui, R. and Guillot, M 1997, Online prediction of surface finish and dimension deviation using neural network based sensor fusion. International Journal of Machine Tools and Manufacture, 37, 1201-1217.
    • (1997) International Journal of Machine Tools and Manufacture , vol.37 , pp. 1201-1217
    • Azoui, R.1    Guillot, M.2
  • 4
    • 0031235710 scopus 로고    scopus 로고
    • Neural network solutions to the tool condition monitoring problems in metal cutting -a critical review of methods
    • Dimla Jr., D. E., Lister, P. M. and Leighton, N. J., 1997, Neural network solutions to the tool condition monitoring problems in metal cutting -a critical review of methods. International Journal of Machine Tools and Manufacture, 37, 1219-1241.
    • (1997) International Journal of Machine Tools and Manufacture , vol.37 , pp. 1219-1241
    • Dimla, D.E.1    Lister, P.M.2    Leighton, N.J.3
  • 5
    • 0033887646 scopus 로고    scopus 로고
    • Applicability of modified backpropagation algorithm in tool condition monitoring for faster convergence
    • D utta, R, KPaul, S. and Chattopadhyay, A. B., 2000, Applicability of modified backpropagation algorithm in tool condition monitoring for faster convergence. Journal of Materials Processing Technology, 98, 299-309.
    • (2000) Journal of Materials Processing Technology , vol.98 , pp. 299-309
    • Dutta, R.1    Kpaul, S.2    Chattopadhyay, A.B.3
  • 12
    • 0029319101 scopus 로고
    • Frequency and time domain analysis of sensor signals in drilling -1, Correlation with drill wear
    • Khajavi, A. N. and Komanduri, R., 1995a, Frequency and time domain analysis of sensor signals in drilling -1, Correlation with drill wear. International Journal of Machine Tools and Manufacture, 35, 775-793
    • (1995) International Journal of Machine Tools and Manufacture , vol.35 , pp. 775-793
    • Khajavi, A.N.1    Komanduri, R.2
  • 13
    • 0029316742 scopus 로고
    • Frequency and time domain analysis of sensor signals in drilling - II, Investigation on some problems associated with sensor integration
    • Khajavi, A. N. and Komanduri, R., 1995b, Frequency and time domain analysis of sensor signals in drilling - II, Investigation on some problems associated with sensor integration. International Journal of Machine Tools and Manufacture, 35, 795-851.
    • (1995) International Journal of Machine Tools and Manufacture , vol.35 , pp. 795-851
    • Khajavi, A.N.1    Komanduri, R.2
  • 14
    • 0342610287 scopus 로고    scopus 로고
    • Catastrophic tool failure detection based on acoustic emission signal analysis
    • Jemielniek, K. and Otman, O., 1998, Catastrophic tool failure detection based on acoustic emission signal analysis. Annals of the CIRP, 47, 31-34.
    • (1998) Annals of the CIRP , vol.47 , pp. 31-34
    • Jemielniek, K.1    Otman, O.2
  • 16
    • 0011757673 scopus 로고
    • On line monitoring of tool breakage in face milling using self organising neural network
    • Ko, K. J., Cho, D. W. and Jung, M.Y., 1995, On line monitoring of tool breakage in face milling using self organising neural network. Journal of Manufacturing Systems, 14, 80-90.
    • (1995) Journal of Manufacturing Systems , vol.14 , pp. 80-90
    • Ko, K.J.1    Cho, D.W.2    Jung, M.Y.3
  • 19
    • 0033104456 scopus 로고    scopus 로고
    • Multi sensor integration for online tool wear estimation through radial basis function networks and fuzzy neural networks
    • Kuo, R. J. and K ohen, P. H., 1999, Multi sensor integration for online tool wear estimation through radial basis function networks and fuzzy neural networks. Neural Networks, 12, 355-370.
    • (1999) Neural Networks , vol.12 , pp. 355-370
    • Kuo, R.J.1    Kohen, P.H.2
  • 20
    • 0021428351 scopus 로고
    • Tool fracture probability of cutting tools under different exiting conditions
    • Lee, Y. M., Sampath, W. S. and Shaw, M. C., 1984, Tool fracture probability of cutting tools under different exiting conditions. Journal of Engineering for Industry, 106, 168-170.
    • (1984) Journal of Engineering for Industry , vol.106 , pp. 168-170
    • Lee, Y.M.1    Sampath, W.S.2    Shaw, M.C.3
  • 21
    • 0029221197 scopus 로고
    • Real time tool breakage monitoring for NC milling processes
    • Lee, J. M., Choi, D. K. and Chu, C. N., 1995, Real time tool breakage monitoring for NC milling processes. Annals of the CIRP, 44, 59-62.
    • (1995) Annals of the CIRP , vol.44 , pp. 59-62
    • Lee, J.M.1    Choi, D.K.2    Chu, C.N.3
  • 22
    • 0031996728 scopus 로고    scopus 로고
    • Statistical analysis of cutting force ratios for flank wear monitoring
    • Lee, J. H., Kim, D. E. and Lee, S. J., 1998, Statistical analysis of cutting force ratios for flank wear monitoring. Journal of Material Processing Technology, 74, 104-114.
    • (1998) Journal of Material Processing Technology , vol.74 , pp. 104-114
    • Lee, J.H.1    Kim, D.E.2    Lee, S.J.3
  • 23
    • 0030267157 scopus 로고    scopus 로고
    • Tool wear monitoring in face milling using force signals
    • Lin, S. C. and Lin, R. J., 1996, Tool wear monitoring in face milling using force signals. Wear, 198, 136-142.
    • (1996) Wear , vol.198 , pp. 136-142
    • Lin, S.C.1    Lin, R.J.2
  • 25
    • 0021625813 scopus 로고
    • The exit failure of cemented carbide face milling cutters Part I -Fundamentals and phenomena
    • Pekelhering, A. J., 1984, The exit failure of cemented carbide face milling cutters Part I -Fundamentals and phenomena. Annals of the CIRP, 33, 47-51.
    • (1984) Annals of the CIRP , vol.33 , pp. 47-51
    • Pekelhering, A.J.1
  • 27
    • 0032022237 scopus 로고    scopus 로고
    • A procedure for training an artificial neural network with application to tool wear monitoring
    • Puroshothaman, S. and Srinivasa, Y. G., 1998, A procedure for training an artificial neural network with application to tool wear monitoring. International Journal of Production Research, 36, 635-651.
    • (1998) International Journal of Production Research , vol.36 , pp. 635-651
    • Puroshothaman, S.1    Srinivasa, Y.G.2
  • 30
    • 0028417368 scopus 로고
    • Identification of the pre-failure stage in micro-drilling operations using multiple sensors
    • Tansel, I. N., 1994, Identification of the pre-failure stage in micro-drilling operations using multiple sensors. International Journal of Machine Tools and Manufacture, 34, 351-364.
    • (1994) International Journal of Machine Tools and Manufacture , vol.34 , pp. 351-364
    • Tansel, I.N.1
  • 31
  • 33
    • 0021583707 scopus 로고
    • The exit failure of cemented carbide face milling cutters -Part II -Testing of commercial cutters
    • Van Luttervelt, C. A., Willemse, H. R. and Pekelhering, A. J., 1984, The exit failure of cemented carbide face milling cutters -Part II -Testing of commercial cutters. Annals of the CIRP, 33, 51-55.
    • (1984) Annals of the CIRP , vol.33 , pp. 51-55
    • Van Luttervelt, C.A.1    Willemse, H.R.2    Pekelhering, A.J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.