-
1
-
-
81255142837
-
Rolling bearing fault diagnostics using artificial neural networks based on laplace wavelet analysis
-
Al-Raheem, K., &Abdul-Karem, W. (2010). Rolling bearing fault diagnostics using artificial neural networks based on laplace wavelet analysis. International Journal of Engineering, Science and Technology, 2, 278-290.
-
(2010)
International Journal of Engineering, Science and Technology
, vol.2
, pp. 278-290
-
-
Al-Raheem, K.1
Abdul-Karem, W.2
-
2
-
-
78951484172
-
Increasing availability of industrial systems through data stream mining
-
Alzghoul, A., &Löfstrand, M. (2011). Increasing availability of industrial systems through data stream mining. Computers &Industrial Engineering, 60, 195-205.
-
(2011)
Computers &Industrial Engineering
, vol.60
, pp. 195-205
-
-
Alzghoul, A.1
Löfstrand, M.2
-
3
-
-
37749042393
-
Rolling bearing fault diagnosis based on wavelet packet and RBF neural network
-
Chinese IEEE
-
Fang, S., &Zijie, W. (2007). Rolling bearing fault diagnosis based on wavelet packet and RBF neural network. In Control conference, 2007. CCC 2007. Chinese (pp. 451-455). IEEE.
-
(2007)
Control Conference 2007. CCC 2007
, pp. 451-455
-
-
Fang, S.1
Zijie, W.2
-
4
-
-
0003768769
-
-
(2nd ed.,). Chichester, NY: Wiley, A Wiley Interscience Publication
-
IEEE. Fletcher, R. (1987). Practical methods of optimization (2nd ed., Vol. 1). Chichester, NY: Wiley, A Wiley Interscience Publication.
-
(1987)
Practical Methods of Optimization
, vol.1
-
-
Fletcher, R.1
-
6
-
-
78049528234
-
Fault diagnosis of ball bearings using machine learning methods
-
Kankar, P., Sharma, S., &Harsha, S. (2010). Fault diagnosis of ball bearings using machine learning methods. Expert Systems with Applications, 38, 1876-1886.
-
(2010)
Expert Systems with Applications
, vol.38
, pp. 1876-1876
-
-
Kankar, P.1
Sharma, S.2
Harsha, S.3
-
7
-
-
78651346442
-
-
IMS, University of Cincinnati, NASA Ames Prognostics Data Repository, Rexnord Technical Services
-
Lee, J., Qiu, H., Yu, G., &Lin, J. (2007). Bearing data set. IMS, University of Cincinnati, NASA Ames Prognostics Data Repository, Rexnord Technical Services.
-
(2007)
Bearing Data Set
-
-
Lee, J.1
Qiu, H.2
Yu, G.3
Lin, J.4
-
8
-
-
0034297837
-
Neural-network-based motor rolling bearing fault diagnosis
-
Li, B., Chow, M., Tipsuwan, Y., &Hung, J. (2000). Neural-network-based motor rolling bearing fault diagnosis. IEEE Transactions on Industrial Electronics, 47, 1060-1069.
-
(2000)
IEEE Transactions on Industrial Electronics
, vol.47
, pp. 1060-1069
-
-
Li, B.1
Chow, M.2
Tipsuwan, Y.3
Hung, J.4
-
10
-
-
8844281752
-
Novelty detection in learning systems
-
Marsland, S. (2002). Novelty detection in learning systems. Neural Computing Surveys, 3, 1-39.
-
(2002)
Neural Computing Surveys
, vol.3
, pp. 1-39
-
-
Marsland, S.1
-
11
-
-
79952320406
-
Feature extraction for novelty detection as applied to fault detection in machinery
-
McBain, J., &Timusk, M. (2011). Feature extraction for novelty detection as applied to fault detection in machinery. Pattern Recognition Letters, 32, 1054-1061.
-
(2011)
Pattern Recognition Letters
, vol.32
, pp. 1054-1061
-
-
McBain, J.1
Timusk, M.2
-
12
-
-
0021758020
-
Model for the vibration produced by a single point defect in a rolling element bearing
-
DOI 10.1016/0022-460X(84)90595-9
-
McFadden, P., &Smith, J. (1984). Model for the vibration produced by a single point defect in a rolling element bearing. Journal of Sound and Vibration, 96, 69-82. (Pubitemid 15421328)
-
(1984)
Journal of Sound and Vibration
, vol.96
, Issue.1
, pp. 69-82
-
-
McFadden, P.D.1
Smith, J.D.2
-
13
-
-
0037302970
-
Basic vibration signal processing for bearing fault detection
-
McInerny, S., &Dai, Y. (2003). Basic vibration signal processing for bearing fault detection. IEEE Transactions on Education, 46, 149-156.
-
(2003)
IEEE Transactions on Education
, vol.46
, pp. 149-156
-
-
McInerny, S.1
Dai, Y.2
-
14
-
-
77955733345
-
Research on SVM classification performance in rolling bearing diagnosis
-
IEEE.
-
Meng, L., Miao, W., &Chunguang, W. (2010). Research on SVM classification performance in rolling bearing diagnosis. 2010 International conference on intelligent computation technology and automation (Vol. 3, pp. 132-135). IEEE.
-
(2010)
2010 International Conference on Intelligent Computation Technology and Automation
, vol.3
, pp. 132-135
-
-
Meng, L.1
Miao, W.2
Chunguang, W.3
-
15
-
-
55449086893
-
Fault diagnosis and condition surveillance for plant rotating machinery using partially-linearized neural network
-
Mitoma, T., Wang, H., &Chen, P. (2008). Fault diagnosis and condition surveillance for plant rotating machinery using partially-linearized neural network. Computers &Industrial Engineering, 55, 783-794.
-
(2008)
Computers &Industrial Engineering
, vol.55
, pp. 783-794
-
-
Mitoma, T.1
Wang, H.2
Chen, P.3
-
16
-
-
58049182562
-
Robust bearing performance degradation assessment method based on improved wavelet packet-support vector data description
-
Pan, Y., Chen, J., &Guo, L. (2009). Robust bearing performance degradation assessment method based on improved wavelet packet-support vector data description. Mechanical Systems and Signal Processing, 23, 669-681.
-
(2009)
Mechanical Systems and Signal Processing
, vol.23
, pp. 669-669
-
-
Pan, Y.1
Chen, J.2
Guo, L.3
-
17
-
-
33644547646
-
Wavelet filter-based weak signature detection method and its application on rolling element bearing prognostics
-
Qiu, H., Lee, J., Lin, J., &Yu, G. (2006). Wavelet filter-based weak signature detection method and its application on rolling element bearing prognostics. Journal of Sound and Vibration, 289, 1066-1090.
-
(2006)
Journal of Sound and Vibration
, vol.289
, pp. 1066-1090
-
-
Qiu, H.1
Lee, J.2
Lin, J.3
Yu, G.4
-
20
-
-
0000487102
-
Estimating the support of a high-dimensional distribution
-
DOI 10.1162/089976601750264965
-
Scholkopf, B., Platt, J., Shawe-Taylor, J., Smola, A., &Williamson, R. (2001). Estimating the support of a high-dimensional distribution. Neural Computation, 13, 1443-1471. (Pubitemid 33595028)
-
(2001)
Neural Computation
, vol.13
, Issue.7
, pp. 1443-1471
-
-
Scholkopf, B.1
Platt, J.C.2
Shawe-Taylor, J.3
Smola, A.J.4
Williamson, R.C.5
-
21
-
-
0003408420
-
-
Scholkopf, B., &Smola, A. (2001). Learning with kernels: Support vector machines, regularization, optimization, and beyond (adaptive computation and machine learning).
-
(2001)
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and beyond (Adaptive Computation and Machine Learning)
-
-
Scholkopf, B.1
Smola, A.2
-
22
-
-
17444438778
-
New support vector algorithms
-
Scholkopf, B., Smola, A., Williamson, R., &Bartlett, P. (2000). New support vector algorithms. Neural Computation, 12, 1207-1245.
-
(2000)
Neural Computation
, vol.12
, pp. 1207-1245
-
-
Scholkopf, B.1
Smola, A.2
Williamson, R.3
Bartlett, P.4
-
24
-
-
0942266514
-
Support vector data description
-
Tax, D., &Duin, R. (2004). Support vector data description. Machine Learning, 54, 45-66.
-
(2004)
Machine Learning
, vol.54
, pp. 45-66
-
-
Tax, D.1
Duin, R.2
-
27
-
-
79952630284
-
Intelligent diagnosis method for rolling element bearing faults using possibility theory and neural network
-
Wang, H., &Chen, P. (2011). Intelligent diagnosis method for rolling element bearing faults using possibility theory and neural network. Computers &Industrial Engineering, 60, 511-518.
-
(2011)
Computers &Industrial Engineering
, vol.60
, pp. 511-518
-
-
Wang, H.1
Chen, P.2
-
28
-
-
84867606873
-
Bearing fault diagnosis based on multiscale permutation entropy and support vector machine
-
Wu, S., Wu, P., Wu, C., Ding, J., &Wang, C. (2012). Bearing fault diagnosis based on multiscale permutation entropy and support vector machine. Entropy, 14, 1343-1356.
-
(2012)
Entropy
, vol.14
, pp. 1343-1356
-
-
Wu, S.1
Wu, P.2
Wu, C.3
Ding, J.4
Wang, C.5
-
29
-
-
34047275789
-
Intelligent fault diagnosis of rolling element bearing based on SVMs and fractal dimension
-
DOI 10.1016/j.ymssp.2006.10.005, PII S0888327006002251
-
Yang, J., Zhang, Y., &Zhu, Y. (2007a). Intelligent fault diagnosis of rolling element bearing based on SVMS and fractal dimension. Mechanical Systems and Signal Processing, 21, 2012-2024. (Pubitemid 46550771)
-
(2007)
Mechanical Systems and Signal Processing
, vol.21
, Issue.5
, pp. 2012-2024
-
-
Yang, J.1
Zhang, Y.2
Zhu, Y.3
-
30
-
-
34848858238
-
A fault diagnosis approach for roller bearing based on IMF envelope spectrum and SVM
-
DOI 10.1016/j.measurement.2006.10.010, PII S0263224106002077
-
Yang, Y., Yu, D., &Cheng, J. (2007b). A fault diagnosis approach for roller bearing based on IMF envelope spectrum and SVM. Measurement, 40, 943-950. (Pubitemid 47503473)
-
(2007)
Measurement: Journal of the International Measurement Confederation
, vol.40
, Issue.9-10
, pp. 943-950
-
-
Yang, Y.1
Yu, D.2
Cheng, J.3
|