-
1
-
-
0025536629
-
Tool wear and failure monitoring techniques for turning - A review
-
Li Dan and J. Mathew, Tool wear and failure monitoring techniques for turning - a review, Int. J. Mach. Tools Manufact. 30(4), 579-598 (1990).
-
(1990)
Int. J. Mach. Tools Manufact.
, vol.30
, Issue.4
, pp. 579-598
-
-
Dan, L.1
Mathew, J.2
-
2
-
-
15844405414
-
Neural network sensor fusion for tool condition monitoring
-
D. A. Dornfeld, Neural network sensor fusion for tool condition monitoring, Ann. CIRP 39(1), 101-105 (1990).
-
(1990)
Ann. CIRP
, vol.39
, Issue.1
, pp. 101-105
-
-
Dornfeld, D.A.1
-
3
-
-
0025478252
-
Sensor integration using neural networks for intelligent tool condition monitoring
-
S. Rangwala and D. A. Dornfeld, Sensor integration using neural networks for intelligent tool condition monitoring, Trans. ASME, J. Engng Ind. 112, 219-228 (1990).
-
(1990)
Trans. ASME, J. Engng Ind.
, vol.112
, pp. 219-228
-
-
Rangwala, S.1
Dornfeld, D.A.2
-
4
-
-
0000081426
-
Tool condition monitoring in metal cutting: A neural network approach
-
L. I. Burke and S. Rangwala, Tool condition monitoring in metal cutting: a neural network approach, J. Intelligent Mfg 2, 269-280 (1991).
-
(1991)
J. Intelligent Mfg
, vol.2
, pp. 269-280
-
-
Burke, L.I.1
Rangwala, S.2
-
5
-
-
85004614110
-
Recognition of cutting state based on neural network sensor fusion
-
T. Moriwaki and Y. Mori, Recognition of cutting state based on neural network sensor fusion, JSPE 59(5), 779-784 (1993).
-
(1993)
JSPE
, vol.59
, Issue.5
, pp. 779-784
-
-
Moriwaki, T.1
Mori, Y.2
-
6
-
-
0027642812
-
Detection of tool breakage in milling operations - II. The neural network approach
-
I. N. Tansel and C. McLaughlin, Detection of tool breakage in milling operations - II. The neural network approach, Int. J. Mach. Tools Manufact. 33(4), 545-558 (1993).
-
(1993)
Int. J. Mach. Tools Manufact.
, vol.33
, Issue.4
, pp. 545-558
-
-
Tansel, I.N.1
McLaughlin, C.2
-
7
-
-
0027641902
-
Monitoring drill conditions with wavelet based encoding and neural networks
-
I. N. Tansel, C. Mekdeci, O. Rodriguez and B. Uragun, Monitoring drill conditions with wavelet based encoding and neural networks, Int. J. Mach. Tools Manufact. 33(4), 559-575 (1993).
-
(1993)
Int. J. Mach. Tools Manufact.
, vol.33
, Issue.4
, pp. 559-575
-
-
Tansel, I.N.1
Mekdeci, C.2
Rodriguez, O.3
Uragun, B.4
-
8
-
-
0027544272
-
Assessment of chip forming patterns with tool wear progression in machining via neural networks
-
Y. L. Yao and X. D. Fang, Assessment of chip forming patterns with tool wear progression in machining via neural networks, Int. J. Mach. Tools Manufact. 33(1), 89-102 (1993).
-
(1993)
Int. J. Mach. Tools Manufact.
, vol.33
, Issue.1
, pp. 89-102
-
-
Yao, Y.L.1
Fang, X.D.2
-
9
-
-
85029973245
-
A new tool life criterion for tool condition monitoring using neural network
-
accepted for publication
-
Q. Zhou, G. S. Hong and M. Rahman, A new tool life criterion for tool condition monitoring using neural network, Engng Appl. Artificial Intelligence, accepted for publication.
-
Engng Appl. Artificial Intelligence
-
-
Zhou, Q.1
Hong, G.S.2
Rahman, M.3
-
10
-
-
0001826036
-
On-line cutting state recognition using neural network
-
M. Rahman, Q. Zhou and G. S. Hong, On-line cutting state recognition using neural network, Int. J. Adv. Mfg Technol. 10, 87-92 (1995).
-
(1995)
Int. J. Adv. Mfg Technol.
, vol.10
, pp. 87-92
-
-
Rahman, M.1
Zhou, Q.2
Hong, G.S.3
-
11
-
-
0024700097
-
A theory for multiresolution signal decomposition: The wavelet representation
-
S. G. Mallat, A theory for multiresolution signal decomposition: the wavelet representation, IEEE Trans. Pattern Anal. Mach. Intelligence 11(7), 674-693 (1989).
-
(1989)
IEEE Trans. Pattern Anal. Mach. Intelligence
, vol.11
, Issue.7
, pp. 674-693
-
-
Mallat, S.G.1
-
12
-
-
0024898232
-
On the correlation bet ween dynamic cutting force and tool wear
-
L. C. Lee, K. S. Lee and C. S. Gan, On the correlation bet ween dynamic cutting force and tool wear, Int. J. Mach. Tools Manufact. 29(3), 295-303 (1989).
-
(1989)
Int. J. Mach. Tools Manufact.
, vol.29
, Issue.3
, pp. 295-303
-
-
Lee, L.C.1
Lee, K.S.2
Gan, C.S.3
|