-
1
-
-
79953861150
-
Comparative analysis of neural network and regression based condition monitoring approaches for wind turbine fault detection
-
M. Schlechtingen, and I. Ferreira Santos Comparative analysis of neural network and regression based condition monitoring approaches for wind turbine fault detection Mech. Syst. Signal Process. 25 5 2011 1849 1875
-
(2011)
Mech. Syst. Signal Process.
, vol.25
, Issue.5
, pp. 1849-1875
-
-
Schlechtingen, M.1
Ferreira Santos, I.2
-
2
-
-
77955582587
-
Natural roller bearing fault detection by angular measurement of true instantaneous angular speed
-
L. Renaudin, F. Bonnardot, O. Musy, J.B. Doray, and D. Rémond Natural roller bearing fault detection by angular measurement of true instantaneous angular speed Mech. Syst. Signal Process. 24 2010 1998 2011
-
(2010)
Mech. Syst. Signal Process.
, vol.24
, pp. 1998-2011
-
-
Renaudin, L.1
Bonnardot, F.2
Musy, O.3
Doray, J.B.4
Rémond, D.5
-
3
-
-
33749515602
-
A comparative experimental study on the diagnostic and prognostic capabilities of acoustics emission, vibration and spectrometric oil analysis for spur gears
-
C. Tan, P. Irving, and D. Mba A comparative experimental study on the diagnostic and prognostic capabilities of acoustics emission, vibration and spectrometric oil analysis for spur gears Mech. Syst. Signal Process. 21 2007 208 233
-
(2007)
Mech. Syst. Signal Process.
, vol.21
, pp. 208-233
-
-
Tan, C.1
Irving, P.2
Mba, D.3
-
4
-
-
34047275789
-
Intelligent fault diagnosis of rolling element bearing based on SVMs and fractal dimension
-
J. Yang, Y. Zhang, and Y. Zhu Intelligent fault diagnosis of rolling element bearing based on SVMs and fractal dimension Mech. Syst. Signal Process. 21 5 2007 2012 2024
-
(2007)
Mech. Syst. Signal Process.
, vol.21
, Issue.5
, pp. 2012-2024
-
-
Yang, J.1
Zhang, Y.2
Zhu, Y.3
-
5
-
-
84883890531
-
Automated diagnosis of rolling element bearing defects using time-domain features and neural networks
-
A. Srividya, A.K Verma, and B. Sreejith Automated diagnosis of rolling element bearing defects using time-domain features and neural networks Int. J. Min. Reclam. Environ. 23 3 2009 206 215
-
(2009)
Int. J. Min. Reclam. Environ.
, vol.23
, Issue.3
, pp. 206-215
-
-
Srividya, A.1
Verma, A.K.2
Sreejith, B.3
-
6
-
-
29444460051
-
Artificial neural networks and genetic algorithm for bearing fault detection
-
B. Samanta, K.R Al-Balushi, and S.A Al-Araimi Artificial neural networks and genetic algorithm for bearing fault detection Soft Comput. 10 3 2005 264 271
-
(2005)
Soft Comput.
, vol.10
, Issue.3
, pp. 264-271
-
-
Samanta, B.1
Al-Balushi, K.R.2
Al-Araimi, S.A.3
-
7
-
-
82255174981
-
Early fault diagnosis of rotating machinery based on wavelet packets - Empirical mode decomposition feature extraction and neural network
-
G.F. Bin, J.J. Gao, X.J. Li, and B.S. Dhillon Early fault diagnosis of rotating machinery based on wavelet packets - empirical mode decomposition feature extraction and neural network Mecha. Syst. Signal Process. 27 2012 696 711
-
(2012)
Mecha. Syst. Signal Process.
, vol.27
, pp. 696-711
-
-
Bin, G.F.1
Gao, J.J.2
Li, X.J.3
Dhillon, B.S.4
-
8
-
-
44949230201
-
Investigation of engine fault diagnosis using discrete wavelet transform and neural network
-
J. Wu, and C. Liu Investigation of engine fault diagnosis using discrete wavelet transform and neural network Expert Syst. Appl. 35 3 2005 1200 1213
-
(2005)
Expert Syst. Appl.
, vol.35
, Issue.3
, pp. 1200-1213
-
-
Wu, J.1
Liu, C.2
-
9
-
-
56349099610
-
Fault gear identification using vibration signal with discrete wavelet transform technique and fuzzy-logic inference
-
J. Wu, and C. Hsu Fault gear identification using vibration signal with discrete wavelet transform technique and fuzzy-logic inference Expert Syst. Appl. 36 2 2009 3785 3794
-
(2009)
Expert Syst. Appl.
, vol.36
, Issue.2
, pp. 3785-3794
-
-
Wu, J.1
Hsu, C.2
-
10
-
-
84864979881
-
A new procedure for extracting fault feature of multi-frequency signal from rotating machinery
-
X. Xiong, S. Yang, and C. Gan A new procedure for extracting fault feature of multi-frequency signal from rotating machinery Mech. Syst. Signal Process. 32 2012 306 319
-
(2012)
Mech. Syst. Signal Process.
, vol.32
, pp. 306-319
-
-
Xiong, X.1
Yang, S.2
Gan, C.3
-
11
-
-
80055015162
-
Dynamic wavelet-based tool for gearbox diagnosis
-
F.K. Omar, and A.M. Gaouda Dynamic wavelet-based tool for gearbox diagnosis Mech. Syst. Signal Process. 26 2012 190 204
-
(2012)
Mech. Syst. Signal Process.
, vol.26
, pp. 190-204
-
-
Omar, F.K.1
Gaouda, A.M.2
-
12
-
-
34247382054
-
An analysis method for the vibration signal with amplitude modulation in a bearing system
-
Y. Sheen An analysis method for the vibration signal with amplitude modulation in a bearing system J. Sound Vibr. 303 3-5 2007 538 552
-
(2007)
J. Sound Vibr.
, vol.303
, Issue.35
, pp. 538-552
-
-
Sheen, Y.1
-
13
-
-
79953856339
-
Weak fault feature extraction of rolling bearing based on cyclic Wiener filter and envelope spectrum
-
Y. Ming, J. Chen, and G. Dong Weak fault feature extraction of rolling bearing based on cyclic Wiener filter and envelope spectrum Mech. Syst. Signal Process. 25 5 2011 1773 1785
-
(2011)
Mech. Syst. Signal Process.
, vol.25
, Issue.5
, pp. 1773-1785
-
-
Ming, Y.1
Chen, J.2
Dong, G.3
-
14
-
-
56249097921
-
Diagnosis of subharmonic faults of large rotating machinery based on EMD
-
F. Wu, and L. Qu Diagnosis of subharmonic faults of large rotating machinery based on EMD Mech. Syst. Signal Process. 23 2 2009 467 475
-
(2009)
Mech. Syst. Signal Process.
, vol.23
, Issue.2
, pp. 467-475
-
-
Wu, F.1
Qu, L.2
-
15
-
-
70349296776
-
A Bayesian machine learning method for sensor selection and fusion with application to on-board fault diagnostics
-
N. Subrahmanya, Y.C. Shin, and P.H. Meckl A Bayesian machine learning method for sensor selection and fusion with application to on-board fault diagnostics Mech. Syst. Signal Process. 24 1 2010 182 192
-
(2010)
Mech. Syst. Signal Process.
, vol.24
, Issue.1
, pp. 182-192
-
-
Subrahmanya, N.1
Shin, Y.C.2
Meckl, P.H.3
-
16
-
-
34249661124
-
Support vector machine in machine condition monitoring and fault diagnosis
-
A. Widodo, and B. Yang Support vector machine in machine condition monitoring and fault diagnosis Mech. Syst. Signal Process. 21 6 2007 2560 2574
-
(2007)
Mech. Syst. Signal Process.
, vol.21
, Issue.6
, pp. 2560-2574
-
-
Widodo, A.1
Yang, B.2
-
17
-
-
60249095042
-
Fault classifier of rotating machinery based on weighted support vector data description
-
Y. Zhang, X.D. Liu, F.D. Xie, and K.Q. Li Fault classifier of rotating machinery based on weighted support vector data description Expert Syst. Appl. 36 4 2009 7928 7932
-
(2009)
Expert Syst. Appl.
, vol.36
, Issue.4
, pp. 7928-7932
-
-
Zhang, Y.1
Liu, X.D.2
Xie, F.D.3
Li, K.Q.4
-
18
-
-
77249155059
-
Vibration based fault diagnosis of monoblock centrifugal pump using decision tree
-
N.R. Sakthivel, V. Sugumaran, and S. Babudevasenapati Vibration based fault diagnosis of monoblock centrifugal pump using decision tree Expert Syst. Appl. 37 6 2010 4040 4049
-
(2010)
Expert Syst. Appl.
, vol.37
, Issue.6
, pp. 4040-4049
-
-
Sakthivel, N.R.1
Sugumaran, V.2
Babudevasenapati, S.3
-
19
-
-
17844375127
-
VIBEX: An expert system for vibration fault diagnosis of rotating machinery using decision tree and decision table
-
B. Yang, D. Lim, and A. Tan VIBEX: an expert system for vibration fault diagnosis of rotating machinery using decision tree and decision table Expert Syst. Appl. 28 4 2005 735 742
-
(2005)
Expert Syst. Appl.
, vol.28
, Issue.4
, pp. 735-742
-
-
Yang, B.1
Lim, D.2
Tan, A.3
-
20
-
-
70350447149
-
Gear fault detection and diagnosis under speed-up condition based on order cepstrum and radial basis function neural network
-
H. Li, Y. Zhang, and H. Zheng Gear fault detection and diagnosis under speed-up condition based on order cepstrum and radial basis function neural network J. Mech. Sci. Technol. 23 10 2009 2780 2789
-
(2009)
J. Mech. Sci. Technol.
, vol.23
, Issue.10
, pp. 2780-2789
-
-
Li, H.1
Zhang, Y.2
Zheng, H.3
-
21
-
-
81855170055
-
Induction motors bearing fault detection using pattern recognition techniques
-
J. Zarei Induction motors bearing fault detection using pattern recognition techniques Expert Syst. Appl. 39 2012 68 73
-
(2012)
Expert Syst. Appl.
, vol.39
, pp. 68-73
-
-
Zarei, J.1
-
22
-
-
33846798101
-
Subspace-based gearbox condition monitoring by kernel principal component analysis
-
Q. He, F. Kong, and R. Yan Subspace-based gearbox condition monitoring by kernel principal component analysis Mech. Syst. Signal Process. 21 4 2007 1755 1772
-
(2007)
Mech. Syst. Signal Process.
, vol.21
, Issue.4
, pp. 1755-1772
-
-
He, Q.1
Kong, F.2
Yan, R.3
-
23
-
-
56249137558
-
Machine condition monitoring using principal component representations
-
Q. He, R. Yan, F. Kong, and R. Du Machine condition monitoring using principal component representations Mech. Syst. Signal Process. 23 2 2009 446 466
-
(2009)
Mech. Syst. Signal Process.
, vol.23
, Issue.2
, pp. 446-466
-
-
He, Q.1
Yan, R.2
Kong, F.3
Du, R.4
-
24
-
-
85018189705
-
Combining RBF-PCA-ReliefF filter for a better diagnosis performance
-
H. Fakhfakh, T.W. Bartelmus, F. Chaari, R. Zimroz, M. Haddar, Springer Heidelberg
-
I. Khelf, L. Laouar, and H. Bendjama Combining RBF-PCA-ReliefF filter for a better diagnosis performance H. Fakhfakh, T.W. Bartelmus, F. Chaari, R. Zimroz, M. Haddar, Condition Monitoring of Machinery in Non-Stationary Operations 2012 Springer Heidelberg 285 292
-
(2012)
Condition Monitoring of Machinery in Non-Stationary Operations
, pp. 285-292
-
-
Khelf, I.1
Laouar, L.2
Bendjama, H.3
-
25
-
-
33750591809
-
Feature selection using Decision Tree and classification through proximal support vector machine for fault diagnostics of roller bearing
-
V. Sugumaran, V. Muralidharan, and K. Ramachandran Feature selection using Decision Tree and classification through proximal support vector machine for fault diagnostics of roller bearing Mech. Syst. Signal Process. 21 2 2007 930 942
-
(2007)
Mech. Syst. Signal Process.
, vol.21
, Issue.2
, pp. 930-942
-
-
Sugumaran, V.1
Muralidharan, V.2
Ramachandran, K.3
-
26
-
-
60849111090
-
Fault diagnosis of spur bevel gear box using discrete wavelet features and Decision Tree classification
-
N. Saravanan, and K.I. Ramachandran Fault diagnosis of spur bevel gear box using discrete wavelet features and Decision Tree classification Expert Syst. Appl. 36 5 2009 9564 9573
-
(2009)
Expert Syst. Appl.
, vol.36
, Issue.5
, pp. 9564-9573
-
-
Saravanan, N.1
Ramachandran, K.I.2
-
27
-
-
56349105011
-
Vibration-based fault diagnosis of spur bevel gear box using fuzzy technique
-
N. Saravanan, S. Cholairajan, and K. Ramachandran Vibration-based fault diagnosis of spur bevel gear box using fuzzy technique Expert Syst. Appl. 36 2 2009 3119 3135
-
(2009)
Expert Syst. Appl.
, vol.36
, Issue.2
, pp. 3119-3135
-
-
Saravanan, N.1
Cholairajan, S.2
Ramachandran, K.3
-
28
-
-
77957849085
-
Minimum sample size determination of vibration signals in machine learning approach to fault diagnosis using power analysis
-
V. Indira, R. Vasanthakumari, and V. Sugumaran Minimum sample size determination of vibration signals in machine learning approach to fault diagnosis using power analysis Expert Syst. Appl. 37 12 2010 8650 8658
-
(2010)
Expert Syst. Appl.
, vol.37
, Issue.12
, pp. 8650-8658
-
-
Indira, V.1
Vasanthakumari, R.2
Sugumaran, V.3
-
29
-
-
78650895757
-
An evaluation of alternative feature selection strategies and ensemble techniques for classifying music
-
M. Grimaldi, P. Cunningham, A. Kokaram, An evaluation of alternative feature selection strategies and ensemble techniques for classifying music, in: Proceedings of Workshop on Multimedia Discovery and Mining, vol. 2, 2003.
-
(2003)
Proceedings of Workshop on Multimedia Discovery and Mining
, vol.2
-
-
Grimaldi, M.1
Cunningham, P.2
Kokaram, A.3
-
30
-
-
84883875229
-
Influence du choix des indicateurs lors du diagnostic des machines tournantes
-
Sousse, Tunisia (in French)
-
I. Khelf, L. Laouar, Influence du choix des indicateurs lors du diagnostic des machines tournantes, in: Proceeding of CMSM 2011,Sousse, Tunisia, 2011 (in French).
-
(2011)
Proceeding of CMSM 2011
-
-
Khelf, I.1
Laouar, L.2
-
31
-
-
84883872621
-
Amélioration du diagnostic d'une machine tournante par la sélection du vecteur d'entrée
-
Besançon, France, (in French)
-
I. Khelf, L. Laouar, Amélioration du diagnostic d'une machine tournante par la sélection du vecteur d'entrée, in: Proceeding of Congrès Français de Mécanique 2011, Besançon, France, 2011 (in French).
-
(2011)
Proceeding of Congrès Français de Mécanique 2011
-
-
Khelf, I.1
Laouar, L.2
-
32
-
-
84883865851
-
Automated diagnosis of an industrial machine using intelligent techniques
-
Oran, Algeria
-
I. Khelf, L. Laouar, Automated diagnosis of an industrial machine using intelligent techniques, in: Proceeding of CIAM 2011, Oran, Algeria, 2011.
-
(2011)
Proceeding of CIAM 2011
-
-
Khelf, I.1
Laouar, L.2
-
34
-
-
76749092270
-
The WEKA data mining software
-
M. Hall, E. Frank, G. Holmes, B. Pfahringer, P. Reutemannand, and I. Witten The WEKA data mining software An Update; SIGKDD Explor. 11 1 2009
-
(2009)
An Update; SIGKDD Explor.
, vol.11
, Issue.1
-
-
Hall, M.1
Frank, E.2
Holmes, G.3
Pfahringer, B.4
Reutemannand, P.5
Witten, I.6
-
39
-
-
51349140351
-
Fault diagnosis with bayesian networks: Application to the tennessee eastman process
-
S. Verron, T. Tiplica, A. Kobi, Fault diagnosis with bayesian networks: application to the tennessee eastman process, in: Proceedings of 2006 IEEE International Conference on Industrial Technology, 2006, pp. 98-103.
-
(2006)
Proceedings of 2006 IEEE International Conference on Industrial Technology
, pp. 98-103
-
-
Verron, S.1
Tiplica, T.2
Kobi, A.3
-
40
-
-
77957828707
-
Diagnosis of mechanical pumping system using neural networks and system parameters analysis
-
T.M. Tsai, and W.H. Wang Diagnosis of mechanical pumping system using neural networks and system parameters analysis J. Mech. Sci. Technol. 23 1 2009 124 135
-
(2009)
J. Mech. Sci. Technol.
, vol.23
, Issue.1
, pp. 124-135
-
-
Tsai, T.M.1
Wang, W.H.2
-
41
-
-
84859211630
-
Support vector machine classifier for diagnosis in electrical machines: Application to broken bar
-
D. Matić, F. Kulić, M. Pineda-Sánchez, and I. Kamenko Support vector machine classifier for diagnosis in electrical machines: application to broken bar Expert Syst. Appl. 39 2012 8681 8689
-
(2012)
Expert Syst. Appl.
, vol.39
, pp. 8681-8689
-
-
Matić, D.1
Kulić, F.2
Pineda-Sánchez, M.3
Kamenko, I.4
-
42
-
-
0036160859
-
Efficient SVM regression training with SMO
-
G.W. Flake, and S. Lawrence Efficient SVM regression training with SMO Mach. Learn. 46 1 2002 271 290
-
(2002)
Mach. Learn.
, vol.46
, Issue.1
, pp. 271-290
-
-
Flake, G.W.1
Lawrence, S.2
-
43
-
-
0003120218
-
Fast training of support vector machines using sequential minimal optimization
-
B. Scholkopf, C. Burges, A. Smola, MIT Press Cambridge, MA
-
J. Platt Fast training of support vector machines using sequential minimal optimization B. Scholkopf, C. Burges, A. Smola, Advances in Kernel Methods Support Vector Learning 1998 MIT Press Cambridge, MA 185 208
-
(1998)
Advances in Kernel Methods Support Vector Learning
, pp. 185-208
-
-
Platt, J.1
-
44
-
-
0000545946
-
Improvements to Platt's SMO algorithm for SVM classifier design
-
S.S. Keerthi, S.K. Shevade, C. Bhattacharyya, and K.R.K. Murthy Improvements to Platt's SMO algorithm for SVM classifier design Neural Comput. 13 3 2001 637 649
-
(2001)
Neural Comput.
, vol.13
, Issue.3
, pp. 637-649
-
-
Keerthi, S.S.1
Shevade, S.K.2
Bhattacharyya, C.3
Murthy, K.R.K.4
-
45
-
-
34047251878
-
Automatic rule learning using decision tree for fuzzy classifier in fault diagnosis of roller bearing
-
V. Sugumaran, and K. Ramachandran Automatic rule learning using decision tree for fuzzy classifier in fault diagnosis of roller bearing Mech. Syst. Signal Process. 21 5 2007 2237 2247
-
(2007)
Mech. Syst. Signal Process.
, vol.21
, Issue.5
, pp. 2237-2247
-
-
Sugumaran, V.1
Ramachandran, K.2
|