메뉴 건너뛰기




Volumn 34, Issue 3-4, 2007, Pages 227-235

Monitoring of drill flank wear using fuzzy back-propagation neural network

Author keywords

Flank wear; LR type fuzzy neuron; Neuro fuzzy system; Sensor signal

Indexed keywords

BACKPROPAGATION; FUZZY LOGIC; MEAN SQUARE ERROR; PARAMETER ESTIMATION; SURFACE ROUGHNESS; TORQUE;

EID: 36048967870     PISSN: 02683768     EISSN: 14333015     Source Type: Journal    
DOI: 10.1007/s00170-006-0589-0     Document Type: Article
Times cited : (16)

References (18)
  • 1
    • 0028992258 scopus 로고
    • Tool wear monitoring in drilling using force signals
    • Lin SC, Ting CJ (1995) Tool wear monitoring in drilling using force signals. J Wear 180:53-60
    • (1995) J Wear , vol.180 , pp. 53-60
    • Lin, S.C.1    Ting, C.J.2
  • 2
    • 0030129165 scopus 로고    scopus 로고
    • Drill wear monitoring using neural network
    • Lin SC, Ting CJ (1996) Drill wear monitoring using neural network. Int J Mach Tools Manuf 36:465-475
    • (1996) Int J Mach Tools Manuf , vol.36 , pp. 465-475
    • Lin, S.C.1    Ting, C.J.2
  • 4
    • 0032867919 scopus 로고    scopus 로고
    • Drill wear monitoring based on current signals
    • Xiaoli Li, Tso SK (1999) Drill wear monitoring based on current signals. J Wear 231:172-178
    • (1999) J Wear , vol.231 , pp. 172-178
    • Li, X.1    Tso, S.K.2
  • 5
    • 0037052520 scopus 로고    scopus 로고
    • Prediction of flank wear of different coated drills for JIS SUS 304 stainless steel using neural network
    • Tsao CC (2002) Prediction of flank wear of different coated drills for JIS SUS 304 stainless steel using neural network. J Mater Process Technol 123:354-360
    • (2002) J Mater Process Technol , vol.123 , pp. 354-360
    • Tsao, C.C.1
  • 6
    • 0035400975 scopus 로고    scopus 로고
    • A decision fusion algorithm for tool wear condition monitoring in drilling
    • Ertunc HM, Loparo KA (2001) A decision fusion algorithm for tool wear condition monitoring in drilling. Int J Mach Tools Manuf 41:1347-1362
    • (2001) Int J Mach Tools Manuf , vol.41 , pp. 1347-1362
    • Ertunc, H.M.1    Loparo, K.A.2
  • 7
    • 0037402139 scopus 로고    scopus 로고
    • Drilling wear detection and classification using vibration signals and artificial neural network
    • Abbu-Mahfouz I (2003) Drilling wear detection and classification using vibration signals and artificial neural network. Int J Mach Tools Manuf 43:707-720
    • (2003) Int J Mach Tools Manuf , vol.43 , pp. 707-720
    • Abbu-Mahfouz, I.1
  • 8
    • 0242667530 scopus 로고    scopus 로고
    • Drilling process optimization for graphite/bismaleimide-titanium alloy stack
    • Kim D, Ramulu M (2004) Drilling process optimization for graphite/bismaleimide-titanium alloy stack. J Compos Struct 63:101-114
    • (2004) J Compos Struct , vol.63 , pp. 101-114
    • Kim, D.1    Ramulu, M.2
  • 11
    • 0033104456 scopus 로고    scopus 로고
    • Multi-sensor integration for online tool wear estimation through radial basis function networks and fuzzy neural network
    • Kuo RJ, Cohen PH (1999) Multi-sensor integration for online tool wear estimation through radial basis function networks and fuzzy neural network. Neural Netw 12:355-370
    • (1999) Neural Netw , vol.12 , pp. 355-370
    • Kuo, R.J.1    Cohen, P.H.2
  • 12
    • 0036091127 scopus 로고    scopus 로고
    • The application of an ANFIS and Grey system method in turning tool-failure detection
    • Lo S-P (2002) The application of an ANFIS and Grey system method in turning tool-failure detection. Int J Adv Manuf Tech 19:564-572
    • (2002) Int J Adv Manuf Tech , vol.19 , pp. 564-572
    • Lo, S.-P.1
  • 13
    • 0034512681 scopus 로고    scopus 로고
    • Fuzzy logic based data selection for drilling process
    • Hashmi K, Graham ID, Mills B (2000) Fuzzy logic based data selection for drilling process. J Mater Process Technol 108:55-61
    • (2000) J Mater Process Technol , vol.108 , pp. 55-61
    • Hashmi, K.1    Graham, I.D.2    Mills, B.3
  • 14
    • 0033330465 scopus 로고    scopus 로고
    • Real-time implementation of on-line tool condition monitoring in turning
    • Ghasempoor A, Jeswiet J, Moore TN (1999) Real-time implementation of on-line tool condition monitoring in turning. Int J Mach Tools Manuf 39:1883-1902
    • (1999) Int J Mach Tools Manuf , vol.39 , pp. 1883-1902
    • Ghasempoor, A.1    Jeswiet, J.2    Moore, T.N.3
  • 15
    • 20444464409 scopus 로고    scopus 로고
    • Modelling the correlation between cutting and process parameters in high-speed machining of Inconel 718 alloy using an artificial neural network
    • Ezugwu EO, Fadare DA, Bonney J, Da Silva RB, Sales WF (2005) Modelling the correlation between cutting and process parameters in high-speed machining of Inconel 718 alloy using an artificial neural network. Int J Mach Tools Manuf 45:1375-1385
    • (2005) Int J Mach Tools Manuf , vol.45 , pp. 1375-1385
    • Ezugwu, E.O.1    Fadare, D.A.2    Bonney, J.3    Da Silva, R.B.4    Sales, W.F.5
  • 16
    • 0034207714 scopus 로고    scopus 로고
    • Multi-sensor integration for on-line tool wear estimation through artificial neural networks and fuzzy neural network
    • Kuo RJ (2000) Multi-sensor integration for on-line tool wear estimation through artificial neural networks and fuzzy neural network. Eng Appl Artif Intell 13:249-261
    • (2000) Eng Appl Artif Intell , vol.13 , pp. 249-261
    • Kuo, R.J.1
  • 17
    • 36048940591 scopus 로고    scopus 로고
    • Neural networks algorithm, application, and programming techniques
    • Upper Saddle River, NJ, USA
    • Freeman JA, Skapura DM (2004) Neural networks algorithm, application, and programming techniques. Pearson Education, Upper Saddle River, NJ, USA
    • (2004) Pearson Education
    • Freeman, J.A.1    Skapura, D.M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.