-
1
-
-
2942525326
-
Bearing fault diagnosis based on wavelet transform and fuzzy inference
-
X. Lou, and K.A. Loparo Bearing fault diagnosis based on wavelet transform and fuzzy inference Mech. Syst. Sig. Process. 18 2004 1077 1095
-
(2004)
Mech. Syst. Sig. Process.
, vol.18
, pp. 1077-1095
-
-
Lou, X.1
Loparo, K.A.2
-
2
-
-
0036862592
-
Singularity analysis using continuous wavelet transform for bearing fault diagnosis
-
Q. Sun, and Y. Tang Singularity analysis using continuous wavelet transform for bearing fault diagnosis Mech. Syst. Sig. Process. 16 6 2002 1025 1041
-
(2002)
Mech. Syst. Sig. Process.
, vol.16
, Issue.6
, pp. 1025-1041
-
-
Sun, Q.1
Tang, Y.2
-
3
-
-
0034297837
-
Neural-network based motor rolling bearing fault diagnosis
-
B. Li, M.-Y. Chow, Y. Tipsuwan, and J. Hung Neural-network based motor rolling bearing fault diagnosis, IEEE Trans. Ind. Electron. 47 5 Oct. 2000 1060 1069
-
(2000)
IEEE Trans. Ind. Electron.
, vol.47
, Issue.5
, pp. 1060-1069
-
-
Li, B.1
Chow, M.-Y.2
Tipsuwan, Y.3
Hung, J.4
-
4
-
-
0033336360
-
A review of vibration and acoustic measurement methods for the detection of defects in rolling element bearings
-
N Tandon, and A. Choudhury A review of vibration and acoustic measurement methods for the detection of defects in rolling element bearings Tribol. Int. 32 7 1999 469 480
-
(1999)
Tribol. Int.
, vol.32
, Issue.7
, pp. 469-480
-
-
Tandon, N.1
Choudhury, A.2
-
5
-
-
33646816778
-
Fault classification on vibration data with wavelet based feature selection scheme
-
GG Yen, and WF. Leong Fault classification on vibration data with wavelet based feature selection scheme ISA Trans. 45 2 2006 141 151
-
(2006)
ISA Trans.
, vol.45
, Issue.2
, pp. 141-151
-
-
Yen, G.G.1
Leong, W.F.2
-
6
-
-
4344709627
-
Unsupervised angular re-sampling and noise cancellation for planetary bearing fault diagnosis
-
F. Bonnardot, R. Randall, and J. Antoni Unsupervised angular re-sampling and noise cancellation for planetary bearing fault diagnosis Int. J. Acoust. Vibr. 9 2 2004
-
(2004)
Int. J. Acoust. Vibr.
, vol.9
, Issue.2
-
-
Bonnardot, F.1
Randall, R.2
Antoni, J.3
-
7
-
-
17644390236
-
Use of the acceleration signal of a gearbox in order to perform angular resampling (with limited speed fluctuation)
-
F. Bonnardot, M. El Badaoui, R. Randall, J Daniere, and F. Guillet Use of the acceleration signal of a gearbox in order to perform angular resampling (with limited speed fluctuation) Mech. Syst. Sig. Process. 19 2005 766 785
-
(2005)
Mech. Syst. Sig. Process.
, vol.19
, pp. 766-785
-
-
Bonnardot, F.1
El Badaoui, M.2
Randall, R.3
Daniere, J.4
Guillet, F.5
-
8
-
-
0036999130
-
Effective vibration analysis of engines using cyclostationnarity: Part I. A methodology for condition monitoring
-
J. Antoni, J. Daniere, and F. Guillet Effective vibration analysis of engines using cyclostationnarity: Part I. A methodology for condition monitoring J. Sound Vib. 257 2002 815 837
-
(2002)
J. Sound Vib.
, vol.257
, pp. 815-837
-
-
Antoni, J.1
Daniere, J.2
Guillet, F.3
-
9
-
-
78650401367
-
Bearing fault feature extraction by recurrence quantification analysis
-
G. Rajesh, and M.V. Rajesh Bearing fault feature extraction by recurrence quantification analysis, World Acad. Sci., Eng. Technol. 45 2008 448 452
-
(2008)
World Acad. Sci., Eng. Technol.
, vol.45
, pp. 448-452
-
-
Rajesh, G.1
Rajesh, M.V.2
-
11
-
-
0012020346
-
Wavelet analysis and envelope detection for rolling element bearing fault diagnosis-Their effectiveness and flexibilities
-
Peter.W. Tse, P.W. Peng, and Y.H. Yam Wavelet analysis and envelope detection for rolling element bearing fault diagnosis-Their effectiveness and flexibilities J. Vib. Acoust. 123 3 2001 303 310
-
(2001)
J. Vib. Acoust.
, vol.123
, Issue.3
, pp. 303-310
-
-
Tse, Peter.W.1
Peng, P.W.2
Yam, Y.H.3
-
12
-
-
0040833844
-
Diagnosing rolling element bearing faults with artificial neural networks
-
D. Baillie, and J. Mathew Diagnosing rolling element bearing faults with artificial neural networks Acoustics Australia 22 3 1994 79 84
-
(1994)
Acoustics Australia
, vol.22
, Issue.3
, pp. 79-84
-
-
Baillie, D.1
Mathew, J.2
-
14
-
-
0347526092
-
Artificial neural networks and support vector machines with genetic algorithm for bearing fault detection
-
B. Samanta, K.R. Al-Baulshi, and S.A. Al-Araimi Artificial neural networks and support vector machines with genetic algorithm for bearing fault detection Eng. Appl. Artif. Intell. 16 2003 657 665
-
(2003)
Eng. Appl. Artif. Intell.
, vol.16
, pp. 657-665
-
-
Samanta, B.1
Al-Baulshi, K.R.2
Al-Araimi, S.A.3
-
15
-
-
84876947494
-
Growing neural networks using soft competitive learning
-
May
-
Vikas C., Anil K. Ahlawat, and R.S. Bhatia Growing neural networks using soft competitive learning Int. J. Comput. Appl. 21 3 2011 May
-
(2011)
Int. J. Comput. Appl.
, vol.21
, Issue.3
-
-
Vikas, C.1
Ahlawat, A.K.2
Bhatia, R.S.3
-
16
-
-
80053303819
-
Self adaptive growing neural network classifier for faults detection and diagnosis
-
M. Barakat, F. Druaux, D. Lefebvre, M. Khalil, and O. Mustapha Self adaptive growing neural network classifier for faults detection and diagnosis Neurocomput. J. Elsevier 74 2011 3865 3876
-
(2011)
Neurocomput. J. Elsevier
, vol.74
, pp. 3865-3876
-
-
Barakat, M.1
Druaux, F.2
Lefebvre, D.3
Khalil, M.4
Mustapha, O.5
-
17
-
-
84877744884
-
Parameter selection algorithm with self adaptive growing neural network classifier for diagnosis issues
-
10.1007/s13042-012-0089-5
-
M. Barakat, D. Lefebvre, M. Khalil, F. Druaux, and O. Mustapha Parameter selection algorithm with self adaptive growing neural network classifier for diagnosis issues Int. J. Mach. Learn. Cybern. 2012 10.1007/s13042-012-0089-5
-
(2012)
Int. J. Mach. Learn. Cybern.
-
-
Barakat, M.1
Lefebvre, D.2
Khalil, M.3
Druaux, F.4
Mustapha, O.5
-
18
-
-
0034227864
-
Probabilistic neural-network structure determination for pattern classification
-
K.Z. Mao, K.-C. Tan, W. Ser, Probabilistic neural-network structure determination for pattern classification, IEEE Trans. Neural Networks, 11, 4, 1009-1016.
-
IEEE Trans. Neural Networks
, vol.11
, Issue.4
, pp. 1009-1016
-
-
Mao, K.Z.1
Tan, K.-C.2
Ser, W.3
-
19
-
-
0042193470
-
Structural fault diagnosis and isolation using neural networks based on response-only data
-
Q. Chen, Y.W. Chan, and K. Worden Structural fault diagnosis and isolation using neural networks based on response-only data Comput. Struct. 81 2003 2165 2172
-
(2003)
Comput. Struct.
, vol.81
, pp. 2165-2172
-
-
Chen, Q.1
Chan, Y.W.2
Worden, K.3
-
20
-
-
33747881516
-
Support vector machines versus multi-layer perceptrons for efficient off-line signature recognition
-
E. Frias-Martinez, A. Sanchez, and J. Velez Support vector machines versus multi-layer perceptrons for efficient off-line signature recognition Eng. Appl. Artif. Intell. 19 2006 693 704
-
(2006)
Eng. Appl. Artif. Intell.
, vol.19
, pp. 693-704
-
-
Frias-Martinez, E.1
Sanchez, A.2
Velez, J.3
-
21
-
-
27744569483
-
-
ISSPA, Kuala Lumpur, Malaysia, August
-
L. Bouillaut, M. Sidahmed, Helicopter Gearbox Vibrations: Cyclostationary Analysis or Bilinear Approach? ISSPA, Kuala Lumpur, Malaysia, August, 2001.
-
(2001)
Helicopter Gearbox Vibrations: Cyclostationary Analysis or Bilinear Approach?
-
-
Bouillaut, L.1
Sidahmed, M.2
-
22
-
-
0027879146
-
Helicopter gearbox fault detection and diagnosis using analog neural networks
-
1-3 November
-
P.T. Monsen, E.S. Manolakos, M. Dzwonczyk, Helicopter gearbox fault detection and diagnosis using analog neural networks, in: Signals, Systems and Computers, 27th Asilomar Conference, 1-3 November, vol. 1, 1993, pp. 381-385.
-
(1993)
Signals, Systems and Computers, 27th Asilomar Conference
, vol.1
, pp. 381-385
-
-
Monsen, P.T.1
Manolakos, E.S.2
Dzwonczyk, M.3
-
24
-
-
0037302970
-
Basic vibration signal processing for bearing fault detection
-
S.A. McInerny, and Y. Dai Basic vibration signal processing for bearing fault detection IEEE Trans. Educ. 46 1 2003 149 156
-
(2003)
IEEE Trans. Educ.
, vol.46
, Issue.1
, pp. 149-156
-
-
McInerny, S.A.1
Dai, Y.2
-
25
-
-
33751524350
-
Envelope bearing analysis: Theory and practice
-
D. Hochmann, and E. Bechhoefer Envelope bearing analysis: theory and practice Proc. Aerosp. 2005 1518 1531
-
(2005)
Proc. Aerosp.
, pp. 1518-1531
-
-
Hochmann, D.1
Bechhoefer, E.2
-
26
-
-
85044760597
-
Applications of time-frequency and time-scale representations to fault detection and classification
-
Orlando, FL
-
T.B. Brotherton, T. Pollard, Applications of time-frequency and time-scale representations to fault detection and classification, in: Proceedings of the IEEE Signal Processing International Symposium on Time-Frequency and Time-Scale Analysis, Orlando, FL, vol. 2242, 1992, pp. 95-98,.
-
(1992)
Proceedings of the IEEE Signal Processing International Symposium on Time-Frequency and Time-Scale Analysis
, vol.2242
, pp. 95-98
-
-
Brotherton, T.B.1
Pollard, T.2
-
27
-
-
2942561579
-
Third-order spectral techniques for the diagnosis of motor bearing condition using artificial neural network
-
D.M. Yang, A.F. Stronach, and P. MacConnel Third-order spectral techniques for the diagnosis of motor bearing condition using artificial neural network Mech. Syst. Sig. Process. 16 2-3 2002 391 411
-
(2002)
Mech. Syst. Sig. Process.
, vol.16
, Issue.23
, pp. 391-411
-
-
Yang, D.M.1
Stronach, A.F.2
Macconnel, P.3
-
28
-
-
0019094381
-
A critical evaluation of intrinsic dimensionality algorithms
-
N. Wyse, R. Dubes, and A.K. Jain A critical evaluation of intrinsic dimensionality algorithms Pattern Recognit. Pract. 1980 415 425
-
(1980)
Pattern Recognit. Pract.
, pp. 415-425
-
-
Wyse, N.1
Dubes, R.2
Jain, A.K.3
-
30
-
-
10244259183
-
PCA-based feature selection scheme for machine defect classification
-
A. Malhi, and R. Gao PCA-based feature selection scheme for machine defect classification IEEE Trans. Instrum. Meas. 53 2004 1517 1525
-
(2004)
IEEE Trans. Instrum. Meas.
, vol.53
, pp. 1517-1525
-
-
Malhi, A.1
Gao, R.2
-
31
-
-
33750481498
-
Combination of independent component analysis and support vector machines for intelligent faults diagnosis of induction motors
-
A. Widodo, B.-S. Yang, and T. Han Combination of independent component analysis and support vector machines for intelligent faults diagnosis of induction motors Expert Syst. Appl. 32 2 2007 299 312
-
(2007)
Expert Syst. Appl.
, vol.32
, Issue.2
, pp. 299-312
-
-
Widodo, A.1
Yang, B.-S.2
Han, T.3
-
33
-
-
64049098473
-
Zi, Application of an intelligent classification method to mechanical fault diagnosis
-
Zhengjia Yaguo Lei, and Yanyang He Zi, Application of an intelligent classification method to mechanical fault diagnosis Expert Syst. Appl. 36 2009 9941 9948
-
(2009)
Expert Syst. Appl.
, vol.36
, pp. 9941-9948
-
-
Yaguo Lei, Z.1
He, Y.2
-
34
-
-
0023347370
-
Strategies for diagnosis
-
R. Milne Strategies for diagnosis IEEE Trans. Syst. Man Cybern. 17 3 1987 333 339
-
(1987)
IEEE Trans. Syst. Man Cybern.
, vol.17
, Issue.3
, pp. 333-339
-
-
Milne, R.1
-
35
-
-
84887014107
-
Self organising map for large scale processes monitoring
-
E. Leclercq, F. Druaux, and D. Lefebvre Self organising map for large scale processes monitoring Proc. ESANN 2009
-
(2009)
Proc. ESANN
-
-
Leclercq, E.1
Druaux, F.2
Lefebvre, D.3
-
37
-
-
0028496468
-
Learning boolean concepts in the presence of many irrelevant features
-
H. Almuallim, and T.G. Dietterich Learning boolean concepts in the presence of many irrelevant features Artif. Intell. 69 1-2 1994 279 305
-
(1994)
Artif. Intell.
, vol.69
, Issue.12
, pp. 279-305
-
-
Almuallim, H.1
Dietterich, T.G.2
-
38
-
-
0031334221
-
Selection of relevant features and examples in machine learning
-
A.L. Blum, and P. Langley Selection of relevant features and examples in machine learning Artif. Intell. 97 1997 245 271
-
(1997)
Artif. Intell.
, vol.97
, pp. 245-271
-
-
Blum, A.L.1
Langley, P.2
-
40
-
-
0000672424
-
Fast learning in networks of locally-tuned processing units
-
J.E. Moody, and J.E Darken Fast learning in networks of locally-tuned processing units Neural Comput. 1 1989 281 294
-
(1989)
Neural Comput.
, vol.1
, pp. 281-294
-
-
Moody, J.E.1
Darken, J.E.2
|