-
1
-
-
84879563942
-
-
Boca Raton, FL, USA: CRC Press
-
S. Nandi, S. Choi, and H. Meshgin-Kelk, Electric Machines Modeling: ConditionMonitoring and Fault Diagnosis. Boca Raton, FL, USA: CRC Press, 2013.
-
(2013)
Electric Machines Modeling: ConditionMonitoring and Fault Diagnosis
-
-
Nandi, S.1
Choi, S.2
Meshgin-Kelk, H.3
-
2
-
-
0034826964
-
Knowledge modeling-State of the art
-
Aug.
-
V. Devedzic, "Knowledge modeling-State of the art," Integr. Comput.-Aid. Eng., vol. 8, no. 3, pp. 257-281, Aug. 2001.
-
(2001)
Integr. Comput.-Aid. Eng.
, vol.8
, Issue.3
, pp. 257-281
-
-
Devedzic, V.1
-
3
-
-
84919946238
-
-
Case Western Reserve University, Bearing Data Center, 2014, accessed: 2014-05-15
-
Case Western Reserve University, Bearing Data Center, 2014, accessed: 2014-05-15. [Online]. Available: http://csegroups.case.edu/Bearingdatacenter
-
-
-
-
4
-
-
80052481302
-
Fault classification based artificial intelligent methods of induction motor bearing
-
Sep.
-
A. K. Mahamad and T. Hiyama, "Fault classification based artificial intelligent methods of induction motor bearing," Int. J. Innov. Comput., Inf. Control, vol. 7, no. 9, pp. 5477-5494, Sep. 2011.
-
(2011)
Int. J. Innov. Comput., Inf. Control
, vol.7
, Issue.9
, pp. 5477-5494
-
-
Mahamad, A.K.1
Hiyama, T.2
-
5
-
-
34848921498
-
A numerical model to predict damaged bearing vibrations
-
Nov.
-
S. Sassi and B. B. M. Thomas, "A numerical model to predict damaged bearing vibrations," J. Vib., Control, vol. 13, no. 11, pp. 1603-1628, Nov. 2007.
-
(2007)
J. Vib., Control
, vol.13
, Issue.11
, pp. 1603-1628
-
-
Sassi, S.1
Thomas, B.B.M.2
-
6
-
-
79751477067
-
Signal analysis of vibration measurements for condition monitoring of bearings
-
J. Chebil, M. Hrairi, and N. Abushikhah, "Signal analysis of vibration measurements for condition monitoring of bearings," Australian J. Basic Appl. Sci., vol. 5, no. 1, pp. 70-78, 2011.
-
(2011)
Australian J. Basic Appl. Sci.
, vol.5
, Issue.1
, pp. 70-78
-
-
Chebil, J.1
Hrairi, M.2
Abushikhah, N.3
-
7
-
-
84874788954
-
Multi-scale analysis based ball bearing defect diagnostics using Mahalanobis distance and support vector machine
-
Jan.
-
S.-D. Wu, C.-W. Wu, T.-Y. Wu, and C.-C. Wang, "Multi-scale analysis based ball bearing defect diagnostics using Mahalanobis distance and support vector machine," Entropy, vol. 15, no. 2, pp. 416-433, Jan. 2013.
-
(2013)
Entropy
, vol.15
, Issue.2
, pp. 416-433
-
-
Wu, S.-D.1
Wu, C.-W.2
Wu, T.-Y.3
Wang, C.-C.4
-
8
-
-
28444481740
-
Kernel Fisher discriminant analysis for bearing fault diagnosis
-
Aug.
-
J.-F. Zhang and Z.-C. Huang, "Kernel Fisher discriminant analysis for bearing fault diagnosis," in Proc. IEEE Mach. Learn. Cybern., Aug. 2005, vol. 5, pp. 3216-3220.
-
(2005)
Proc. IEEE Mach. Learn. Cybern.
, vol.5
, pp. 3216-3220
-
-
Zhang, J.-F.1
Huang, Z.-C.2
-
9
-
-
84877832616
-
Fault diagnosis of rolling bearing based on wavelet transform and envelope spectrum correlation
-
Apr.
-
W. Sun, G. Yang, Q. Chen, A. Palazoglu, and K. Feng, "Fault diagnosis of rolling bearing based on wavelet transform and envelope spectrum correlation," J. Vib., Control, vol. 19, no. 6, pp. 924-941, Apr. 2013.
-
(2013)
J. Vib., Control
, vol.19
, Issue.6
, pp. 924-941
-
-
Sun, W.1
Yang, G.2
Chen, Q.3
Palazoglu, A.4
Feng, K.5
-
10
-
-
64949087144
-
Fault diagnosis of rolling element bearing using time-domain features and neural networks
-
Dec.
-
B. Sreejith, A. Verma, and A. Srividya, "Fault diagnosis of rolling element bearing using time-domain features and neural networks," in Proc. 3rd IEEE ICIIS Region 10, Dec. 2008, pp. 1-6.
-
(2008)
Proc. 3rd IEEE ICIIS Region 10
, pp. 1-6
-
-
Sreejith, B.1
Verma, A.2
Srividya, A.3
-
11
-
-
84868261295
-
Spectral regression based fault feature extraction for bearing accelerometer sensor signals
-
Oct.
-
Z. Xia, S. Xia, L.Wan, and S. Cai, "Spectral regression based fault feature extraction for bearing accelerometer sensor signals," Sensors, vol. 12, no. 10, pp. 13 694-13 719, Oct. 2012.
-
(2012)
Sensors
, vol.12
, Issue.10
, pp. 13694-13719
-
-
Xia, Z.1
Xia, S.2
Wan, L.3
Cai, S.4
-
12
-
-
84859909943
-
Shannon wavelet spectrum analysis on truncated vibration signals for machine incipient fault detection
-
May
-
J. Liu, "Shannon wavelet spectrum analysis on truncated vibration signals for machine incipient fault detection," J. Meas. Sci. Technol., vol. 23, no. 5, p. 055604, May 2012.
-
(2012)
J. Meas. Sci. Technol.
, vol.23
, Issue.5
, pp. 055604
-
-
Liu, J.1
-
13
-
-
84876708997
-
A kurtosis-guided adaptive demodulation technique for bearing fault detection based on tunable-Q wavelet transform
-
May
-
J. Luo, D. Yu, and M. Liang, "A kurtosis-guided adaptive demodulation technique for bearing fault detection based on tunable-Q wavelet transform," J. Meas. Sci. Technol., vol. 24, no. 5, pp. 1-11, May 2013.
-
(2013)
J. Meas. Sci. Technol.
, vol.24
, Issue.5
, pp. 1-11
-
-
Luo, J.1
Yu, D.2
Liang, M.3
-
14
-
-
80054979003
-
Incipient fault diagnosis of rolling element bearing based on wavelet packet transform and energy operator
-
Mar.
-
Z. Wei, J. Gao, X. Zhong, Z. Jiang, and B. Ma, "Incipient fault diagnosis of rolling element bearing based on wavelet packet transform and energy operator," WSEAS Trans. Syst., vol. 10, no. 3, pp. 81-90, Mar. 2011.
-
(2011)
WSEAS Trans. Syst.
, vol.10
, Issue.3
, pp. 81-90
-
-
Wei, Z.1
Gao, J.2
Zhong, X.3
Jiang, Z.4
Ma, B.5
-
15
-
-
81255142837
-
Rolling bearing fault diagnostics using artificial neural networks based on Laplace wavelet analysis
-
K. F. Al-Raheem andW. Abdul-Karem, "Rolling bearing fault diagnostics using artificial neural networks based on Laplace wavelet analysis," Int. J. Eng., Sci. Techn., vol. 2, no. 6, pp. 278-290, 2010.
-
(2010)
Int. J. Eng., Sci. Techn.
, vol.2
, Issue.6
, pp. 278-290
-
-
Al-Raheem, W.1
Abdul-Karem, K.F.2
-
16
-
-
85013842662
-
Wavelet decomposition for the detection and diagnosis of faults in rolling element bearings
-
Dec.
-
J. Chebil, G. Noel, M. Mesbah, and M. Deriche, "Wavelet decomposition for the detection and diagnosis of faults in rolling element bearings," Jordan J. Mech. Ind. Eng., vol. 3, no. 4, pp. 260-267, Dec. 2009.
-
(2009)
Jordan J. Mech. Ind. Eng.
, vol.3
, Issue.4
, pp. 260-267
-
-
Chebil, J.1
Noel, G.2
Mesbah, M.3
Deriche, M.4
-
17
-
-
33745561205
-
An introduction to variable and feature selection
-
Mar.
-
I. Guyon and A. Elisseeff, "An introduction to variable and feature selection," J. Mach. Learn. Res., vol. 3, pp. 1157-1182, Mar. 2003.
-
(2003)
J. Mach. Learn. Res.
, vol.3
, pp. 1157-1182
-
-
Guyon, I.1
Elisseeff, A.2
-
18
-
-
84867606873
-
Bearing fault diagnosis based on multiscale permutation entropy and support vector machine
-
Jul.
-
S.-D.Wu, P.-H.Wu, C.-W.Wu, J.-J. Ding, and C.-C.Wang, "Bearing fault diagnosis based on multiscale permutation entropy and support vector machine," Entropy, vol. 14, no. 8, pp. 1343-1356, Jul. 2012.
-
(2012)
Entropy
, vol.14
, Issue.8
, pp. 1343-1356
-
-
Wu, S.-D.1
Wu, P.-H.2
Wu, C.-W.3
Ding, J.-J.4
Wang, C.-C.5
-
19
-
-
79951579854
-
Bearing performance degradation assessment using locality preserving projections
-
Jun.
-
J.-B. Yu, "Bearing performance degradation assessment using locality preserving projections," Expert Syst. Appl., vol. 38, no. 6, pp. 7440-7450, Jun. 2011.
-
(2011)
Expert Syst. Appl.
, vol.38
, Issue.6
, pp. 7440-7450
-
-
Yu, J.-B.1
-
20
-
-
33646023117
-
An introduction to ROC analysis
-
Jun.
-
T. Fawcett, "An introduction to ROC analysis," Pattern Recognit. Lett., vol. 27, no. 8, pp. 861-874, Jun. 2006.
-
(2006)
Pattern Recognit. Lett.
, vol.27
, Issue.8
, pp. 861-874
-
-
Fawcett, T.1
-
21
-
-
84876248148
-
Bearing faults detection by a novel condition monitoring scheme based on statistical-time features and neural networks
-
Aug.
-
M. Delgado Prieto, G. Cirrincione, A. Garcia Espinosa, J. Ortega, and H. Henao, "Bearing faults detection by a novel condition monitoring scheme based on statistical-time features and neural networks," IEEE Trans. Ind. Electron., vol. 60, no. 8, pp. 3398-3407, Aug. 2013.
-
(2013)
IEEE Trans. Ind. Electron.
, vol.60
, Issue.8
, pp. 3398-3407
-
-
Delgado Prieto, M.1
Cirrincione, G.2
Garcia Espinosa, A.3
Ortega, J.4
Henao, H.5
-
22
-
-
84877761890
-
Advanced diagnosis of electrical faults in wound rotor induction machines
-
Sep.
-
Y. Gritli et al., "Advanced diagnosis of electrical faults in wound rotor induction machines," IEEE Trans. Ind. Electron., vol. 60, no. 9, pp. 4012-4024, Sep. 2013.
-
(2013)
IEEE Trans. Ind. Electron.
, vol.60
, Issue.9
, pp. 4012-4024
-
-
Gritli, Y.1
-
23
-
-
84877731969
-
Statistical and neural-network approaches for the classification of induction machine faults using the ambiguity plane representation
-
Sep.
-
T. Boukra, A. Lebaroud, and G. Clerc, "Statistical and neural-network approaches for the classification of induction machine faults using the ambiguity plane representation," IEEE Trans. Ind. Electron., vol. 60, no. 9, pp. 4034-4042, Sep. 2013.
-
(2013)
IEEE Trans. Ind. Electron.
, vol.60
, Issue.9
, pp. 4034-4042
-
-
Boukra, T.1
Lebaroud, A.2
Clerc, G.3
-
24
-
-
84876224648
-
Plastic bearing fault diagnosis based on a twostep data mining approach
-
Aug.
-
D. He, R. Li, and J. Zhu, "Plastic bearing fault diagnosis based on a twostep data mining approach," IEEE Trans. Ind. Electron., vol. 60, no. 8, pp. 3429-3440, Aug. 2013.
-
(2013)
IEEE Trans. Ind. Electron.
, vol.60
, Issue.8
, pp. 3429-3440
-
-
He, D.1
Li, R.2
Zhu, J.3
-
27
-
-
84886674516
-
A novel scheme for key performance indicator prediction and diagnosis with application to an industrial hot strip mill
-
Nov.
-
S. Ding, S. Yin, K. Peng, H. Hao, and B. Shen, "A novel scheme for key performance indicator prediction and diagnosis with application to an industrial hot strip mill," IEEE Trans. Ind. Informat., vol. 9, no. 4, pp. 2239-2247, Nov. 2013.
-
(2013)
IEEE Trans. Ind. Informat.
, vol.9
, Issue.4
, pp. 2239-2247
-
-
Ding, S.1
Yin, S.2
Peng, K.3
Hao, H.4
Shen, B.5
-
28
-
-
84866069902
-
A comparison study of basic data-driven fault diagnosis and process monitoring methods on the benchmark Tennessee Eastman process
-
Oct.
-
S. Yin, S. X. Ding, A. Haghani, H. Hao, and P. Zhang, "A comparison study of basic data-driven fault diagnosis and process monitoring methods on the benchmark Tennessee Eastman process," J. Process Control, vol. 22, no. 9, pp. 1567-1581, Oct. 2012.
-
(2012)
J. Process Control
, vol.22
, Issue.9
, pp. 1567-1581
-
-
Yin, S.1
Ding, S.X.2
Haghani, A.3
Hao, H.4
Zhang, P.5
-
29
-
-
0027561446
-
A plant-wide industrial process control problem
-
Mar.
-
J. J. Downs and E. F. Vogel, "A plant-wide industrial process control problem," Comput. Chem. Eng., vol. 17, no. 3, pp. 245-255, Mar. 1993.
-
(1993)
Comput. Chem. Eng.
, vol.17
, Issue.3
, pp. 245-255
-
-
Downs, J.J.1
Vogel, E.F.2
-
30
-
-
84885571740
-
Real-time implementation of fault-tolerant control systems with performance optimization
-
May
-
S. Yin, H. Luo, and S. Ding, "Real-time implementation of fault-tolerant control systems with performance optimization," IEEE Trans. Ind. Electron., vol. 61, no. 5, pp. 2402-2411, May 2014.
-
(2014)
IEEE Trans. Ind. Electron.
, vol.61
, Issue.5
, pp. 2402-2411
-
-
Yin, S.1
Luo, H.2
Ding, S.3
-
31
-
-
0033640901
-
Comparison of algorithms that select features for pattern classifiers
-
Jan.
-
M. Kudo and J. Sklansky, "Comparison of algorithms that select features for pattern classifiers," Pattern Recognit., vol. 33, no. 1, pp. 25-41, Jan. 2000.
-
(2000)
Pattern Recognit.
, vol.33
, Issue.1
, pp. 25-41
-
-
Kudo, M.1
Sklansky, J.2
-
32
-
-
0028547556
-
Floating search methods in feature selection
-
Nov.
-
P. Pudil, J. Novovi?cová, and J. Kittler, "Floating search methods in feature selection," Pattern Recognit. Lett., vol. 15, no. 11, pp. 1119-1125, Nov. 1994.
-
(1994)
Pattern Recognit. Lett.
, vol.15
, Issue.11
, pp. 1119-1125
-
-
Pudil, P.1
Novovicová, J.2
Kittler, J.3
-
34
-
-
84926662675
-
Nearest neighbor pattern classification
-
Jan.
-
T. Cover and P. Hart, "Nearest neighbor pattern classification," IEEE Inf. Theory, vol. 13, no. 1, pp. 21-27, Jan. 1967.
-
(1967)
IEEE Inf. Theory
, vol.13
, Issue.1
, pp. 21-27
-
-
Cover, T.1
Hart, P.2
-
35
-
-
0027205884
-
A scaled conjugate gradient algorithm for fast supervised learning
-
M. F. Møller, "A scaled conjugate gradient algorithm for fast supervised learning," Neural Netw., vol. 6, no. 4, pp. 525-533, 1993.
-
(1993)
Neural Netw.
, vol.6
, Issue.4
, pp. 525-533
-
-
Møller, M.F.1
-
36
-
-
34249753618
-
Support-vector networks
-
Sep.
-
C. Cortes and V. Vapnik, "Support-vector networks," Mach. Learn., vol. 20, no. 3, pp. 273-297, Sep. 1995.
-
(1995)
Mach. Learn.
, vol.20
, Issue.3
, pp. 273-297
-
-
Cortes, C.1
Vapnik, V.2
-
37
-
-
84859433868
-
Classification of fault location and the degree of performance degradation of a rolling bearing based on an improved hypersphere-structured multi-class support vector machine
-
May
-
Y. Wang et al., "Classification of fault location and the degree of performance degradation of a rolling bearing based on an improved hypersphere-structured multi-class support vector machine," Mech. Syst. Signal Process., vol. 29, pp. 404-414, May 2012.
-
(2012)
Mech. Syst. Signal Process.
, vol.29
, pp. 404-414
-
-
Wang, Y.1
-
38
-
-
84876277688
-
A new framework of simultaneous-fault diagnosis using pairwise probabilistic multi-label classification for time-dependent patterns
-
Aug.
-
C.-M. Vong, P.-K. Wong, and W.-F. Ip, "A new framework of simultaneous-fault diagnosis using pairwise probabilistic multi-label classification for time-dependent patterns," IEEE Trans. Ind. Electron., vol. 60, no. 8, pp. 3372-3385, Aug. 2013.
-
(2013)
IEEE Trans. Ind. Electron.
, vol.60
, Issue.8
, pp. 3372-3385
-
-
Vong, C.-M.1
Wong, P.-K.2
Ip, W.-F.3
|