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Volumn 34, Issue 7, 2001, Pages

Tool wear monitoring in turning: A neural network application

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; CONDITION MONITORING; CUTTING TOOLS; ESTIMATION; FEATURE EXTRACTION; MATHEMATICAL MODELS; PARAMETER ESTIMATION; WEAR OF MATERIALS;

EID: 0035443955     PISSN: 00202940     EISSN: None     Source Type: Journal    
DOI: 10.1177/002029400103400704     Document Type: Article
Times cited : (20)

References (32)
  • 12
    • 0033104456 scopus 로고    scopus 로고
    • Multi-sensor integration for on-line tool wear estimation through radial basis function networks and fuzzy neural network
    • (1999) Neural Networks , vol.12 , Issue.3 , pp. 355-370
    • Kuo, R.J.1    Cohen, P.H.2
  • 18
    • 0004109478 scopus 로고
    • RPROP - Description and implementation details
    • Technical report; Universitaet Karlsruhe, Institut fuer Logik, Komplexitaet und Deduktionssysteme
    • (1994)
    • Riedmiller, M.1
  • 23
    • 0031295198 scopus 로고    scopus 로고
    • Wear estimation for turning tools with process-specific pre-processing for time-delay neural networks
    • (eds. Dagli, C. H.; Akay, M.; Ersoy, O.; Fernandez, B. R.; Smith, A.); ASME Press, New York; (Proceedings of the 7th Artificial Neural Networks in Engineering Conference (ANNIE '97), St. Louis)
    • (1997) Intelligent Engineering Systems Through Artificial Neural Networks , vol.7 , pp. 791-796
    • Sick, B.1
  • 27
    • 0003425654 scopus 로고    scopus 로고
    • Signalinterpretation mit Neuronalen Netzen unter Nutzungvon modellbasiertem Nebenwissen am Beispiel der Verschleissueberwachungvon Werkzeugen in CNC-Drehmaschinen
    • (Fortschritt-Berichte VDI (Reihe 10: Informatik/Kommunikationstechnik) Nr. 629)
    • (2000)
    • Sick, B.1
  • 31
    • 0003736433 scopus 로고
    • Finite impulse response neural networks with applications in time series prediction
    • Ph.D. thesis; Stanford University, Department of Electrical Engineering
    • (1993)
    • Wan, E.A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.