-
2
-
-
34249721512
-
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
-
4
-
-
10444225451
-
Tool breakage detection using support vector machine learning in a milling process
-
Cho, S., Asfour, S., Onar, A. and Kaundinya, N. (2005). Tool breakage detection using support vector machine learning in a milling process. International Journal of Machine Tools and Manufacture, vol. 45, No. 3, pp 241-249.
-
(2005)
International Journal of Machine Tools and Manufacture
, vol.45
, Issue.3
, pp. 241-249
-
-
Cho, S.1
Asfour, S.2
Onar, A.3
Kaundinya, N.4
-
5
-
-
1942441444
-
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
-
6
-
-
33750009420
-
Bayesian-inference-based neural networks for tool wear estimation
-
Dong, J., Subrahmanyam, K., Wong, Y.S., Hong, G.S. and Mohanty, A. (2006). Bayesian-inference-based neural networks for tool wear estimation, The International Journal of Advanced Manufacturing Technology, vol. 30, No.9, pp. 797-807.
-
(2006)
The International Journal of Advanced Manufacturing Technology
, vol.30
, Issue.9
, pp. 797-807
-
-
Dong, J.1
Subrahmanyam, K.2
Wong, Y.S.3
Hong, G.S.4
Mohanty, A.5
-
7
-
-
7244258874
-
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
-
8
-
-
33749507805
-
Estimation of tool wear during CNC milling using neural network-based sensor fusion
-
Ghosh, N., Ravi, Y.B., Patra, A., Mukhopadhyay, S., Paul, S., Mohanty, A.R. and Chattopadhyay, A.B. (2007). Estimation of tool wear during CNC milling using neural network-based sensor fusion. Mechanical Systems and Signal Processing, vol. 21, No. 1, pp. 466-479.
-
(2007)
Mechanical Systems and Signal Processing
, vol.21
, Issue.1
, pp. 466-479
-
-
Ghosh, N.1
Ravi, Y.B.2
Patra, A.3
Mukhopadhyay, S.4
Paul, S.5
Mohanty, A.R.6
Chattopadhyay, A.B.7
-
10
-
-
0030150226
-
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
-
11
-
-
84920563661
-
Fuzzy neural network modelling for tool wear estimation in dry milling operation
-
Li, X., Lim, B.S., Zhou, J.H., Huang, S., Phua, S.J., Shaw, K.C. (2009). Fuzzy Neural Network Modelling for Tool Wear Estimation in Dry Milling Operation, Annual Conference of the Prognostics and Health Management Society.
-
(2009)
Annual Conference of the Prognostics and Health Management Society
-
-
Li, X.1
Lim, B.S.2
Zhou, J.H.3
Huang, S.4
Phua, S.J.5
Shaw, K.C.6
-
12
-
-
0032762693
-
An overview of approaches to end milling tool monitoring
-
Prickett, P.W., Johns, C. (1999). An overview of approaches to end milling tool monitoring, International Journal of Machine Tools & Manufacture, vol. 39, pp. 105-122.
-
(1999)
International Journal of Machine Tools & Manufacture
, vol.39
, pp. 105-122
-
-
Prickett, P.W.1
Johns, C.2
-
13
-
-
27644457396
-
Effective training data selection in tool condition monitoring system
-
Sun, J., Hong, G.S. Wong, Y.S., Rahman, M., Wang, Z.G. (2006). Effective training data selection in tool condition monitoring system, International Journal of Machine Tools & Manufacture, vol. 46, pp. 218-224.
-
(2006)
International Journal of Machine Tools & Manufacture
, vol.46
, pp. 218-224
-
-
Sun, J.1
Hong, G.S.2
Wong, Y.S.3
Rahman, M.4
Wang, Z.G.5
-
14
-
-
34249661124
-
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
-
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
|