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Volumn 5, Issue 19, 2010, Pages 2883-2888

On-line prediction of tool wears by using methods of artificial neural networks and fuzzy logic

Author keywords

Artificial neural networks; Fuzzy logic; Tool condition monitoring; Tool wear; Turning

Indexed keywords


EID: 78649410221     PISSN: None     EISSN: 19922248     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (3)

References (17)
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    • Dimla, D.E.1    Lister, P.M.2    Leighton, N.J.3
  • 3
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    • On-Line Metal Cutting Tool Condition Monitoring Force and Vibration Analyses
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    • (2000) Int. J. Mach. Tools Manufacture , vol.40 , pp. 739-768
    • Dimla, D.E.1    Lister, P.M.2
  • 4
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    • Applicability Of The Modified Back-Propagation Algorithm In Tool Condition Monitoring For Faster Convergence
    • Dutta RK, Paul S, Chattopadhyay AB (2000). Applicability Of The Modified Back-Propagation Algorithm In Tool Condition Monitoring For Faster Convergence. J. Mater. Proc. Technol., 98: 299-309.
    • (2000) J. Mater. Proc. Technol , vol.98 , pp. 299-309
    • Dutta, R.K.1    Paul, S.2    Chattopadhyay, A.B.3
  • 6
    • 0036640442 scopus 로고    scopus 로고
    • A Summary of Methods Applied to Tool Condition Monitoring in Drilling
    • Jantunen E (2002). A Summary of Methods Applied to Tool Condition Monitoring in Drilling. Int. J. Mach. Tools Manuf., 42: 997-1010.
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    • Jantunen, E.1
  • 8
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  • 9
    • 0031198399 scopus 로고    scopus 로고
    • On-Line Tool Condition Monitoring System with Wavelet Fuzzy Neural Network
    • Li X, Yingxue Y, Zhejun Y (1997). On-Line Tool Condition Monitoring System with Wavelet Fuzzy Neural Network. J. Intell. Manuf., 8: 271-276.
    • (1997) J. Intell. Manuf , vol.8 , pp. 271-276
    • Li, X.1    Yingxue, Y.2    Zhejun, Y.3
  • 10
    • 0036027418 scopus 로고    scopus 로고
    • A Brief Review: Acoustic Emission Method for Tool Wear Monitoring During Turning
    • Li X (2001). A Brief Review: Acoustic Emission Method for Tool Wear Monitoring During Turning. Int. J. Machine Tools Manuf., 42: 157-165.
    • (2001) Int. J. Machine Tools Manuf , vol.42 , pp. 157-165
    • Li, X.1
  • 11
    • 55149113134 scopus 로고    scopus 로고
    • Papatya Yayi{dotless}nci{dotless}li{dotless}k. İstanbul
    • Öztemel E (2003). Yapay Sinir Aǧlari{dotless}. Papatya Yayi{dotless}nci{dotless}li{dotless}k. I ̇stanbul.
    • (2003) Yapay Sinir Aǧlari{dotless}
    • Öztemel, E.1
  • 12
    • 12444249998 scopus 로고    scopus 로고
    • Predictive modeling of surface roughness and tool wear in hard turning using regression and neural Network
    • Özel T, Karpat Y (2005). Predictive modeling of surface roughness and tool wear in hard turning using regression and neural Networks. Int. J. Machine Tools Manuf., 45: 467-469
    • (2005) Int. J. Machine Tools Manuf , vol.45 , pp. 467-469
    • Özel, T.1    Karpat, Y.2
  • 13
    • 33751571002 scopus 로고    scopus 로고
    • Tools wear estimation from acoustic emissions: A model incorporating wear-rate
    • 16th International Conference on Pattern Recognition
    • Varma S, Baras JS (2002). Tools Wear Estimation from Acoustic Emissions: A Model Incorporating Wear-Rate. 16th International Conference on Pattern Recognition, 1: 492-495.
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    • Varma, S.1    Baras, J.S.2
  • 17
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    • Fusion of Hard and Soft Computing Techniques in Indirect. Online Tool Wear Monitoring
    • Sick B (2002). Fusion of Hard and Soft Computing Techniques in Indirect. Online Tool Wear Monitoring. IEEE Transactions on Systems. Man. and Cybernetics- Part C: Appl. Rev., 32(2): 80-91.
    • (2002) IEEE Transactions On Systems. Man. and Cybernetics- Part C: Appl. Rev , vol.32 , Issue.2 , pp. 80-91
    • Sick, B.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.