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Volumn , Issue , 2010, Pages

Tool wear estimation using support vector machines in ball-nose end milling

Author keywords

[No Author keywords available]

Indexed keywords

BALL MILLING; CUTTING; DECISION MAKING; FREQUENCY DOMAIN ANALYSIS; MILLING (MACHINING); SUPPORT VECTOR MACHINES; WAVELET TRANSFORMS; WEAR OF MATERIALS;

EID: 84920546320     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (8)

References (15)
  • 2
    • 34249721512 scopus 로고    scopus 로고
    • Cutting force-based real-time estimation of tool wear in face milling using a combination of signal processing techniques
    • Bhattacharyya, P., Sengupta, D. and Mukhopadhyay, S. (2007). Cutting force-based real-time estimation of tool wear in face milling using a combination of signal processing techniques, Mechanical Systems and Signal Processing, vol. 21, No. 6, pp. 2665-2683.
    • (2007) Mechanical Systems and Signal Processing , vol.21 , Issue.6 , pp. 2665-2683
    • Bhattacharyya, P.1    Sengupta, D.2    Mukhopadhyay, S.3
  • 5
    • 1942441444 scopus 로고    scopus 로고
    • Tool wear monitoring in ramp cuts in end milling using the wavelet transform
    • Choi, Y., Narayanaswami, R., Chandra, A. (2004). Tool wear monitoring in ramp cuts in end milling using the wavelet transform, Int J Adv Manuf Technol, vol. 23, pp. 419-428.
    • (2004) Int J Adv Manuf Technol , vol.23 , pp. 419-428
    • Choi, Y.1    Narayanaswami, R.2    Chandra, A.3
  • 7
    • 7244258874 scopus 로고    scopus 로고
    • Wavelet-based neural network for power disturbance recognition and classification
    • Gaing, Z. L. (2004). Wavelet-Based Neural Network for Power Disturbance Recognition and Classification, IEEE Transactions on Power Delivery, Vol. 19, No. 4, pp. 1560-1568.
    • (2004) IEEE Transactions on Power Delivery , vol.19 , Issue.4 , pp. 1560-1568
    • Gaing, Z.L.1
  • 10
    • 0030150226 scopus 로고    scopus 로고
    • Using neural network for tool condition monitoring based on wavelet decomposition
    • Hong, G. S., Rahman, M., and Zhou, Q. (1996). Using Neural Network for Tool Condition Monitoring Based on Wavelet Decomposition, Int. J. Mach. Tools Manufact. Vol. 36, No. 5, pp. 551-566.
    • (1996) Int. J. Mach. Tools Manufact , vol.36 , Issue.5 , pp. 551-566
    • Hong, G.S.1    Rahman, M.2    Zhou, Q.3
  • 14
    • 34249661124 scopus 로고    scopus 로고
    • Support vector machine in machine condition monitoring and fault diagnosis
    • Widodo, A. and Yang, B.-S. (2007). Support vector machine in machine condition monitoring and fault diagnosis, Mechanical Systems and Signal Processing, vol. 21, No.6, pp. 2560-2574.
    • (2007) Mechanical Systems and Signal Processing , vol.21 , Issue.6 , pp. 2560-2574
    • Widodo, A.1    Yang, B.-S.2
  • 15
    • 70449517374 scopus 로고    scopus 로고
    • Intelligent diagnosis and prognosis of tool wear using dominant feature identification
    • Zhou, J.-H., Pang, C.K., Lewis, F.L. and Zhong, Z.-W. (2009). Intelligent Diagnosis and Prognosis of Tool Wear Using Dominant Feature Identification, IEEE Transactions on Industrial Informatics, vol. 5, No. 4, pp. 454-464.
    • (2009) IEEE Transactions on Industrial Informatics , vol.5 , Issue.4 , pp. 454-464
    • Zhou, J.-H.1    Pang, C.K.2    Lewis, F.L.3    Zhong, Z.-W.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.