-
1
-
-
33646534620
-
A review on machinery diagnostics and prognostics implementing condition-based maintenance
-
A.K.S. Jardine, D. Lin, and D. Banjevic A review on machinery diagnostics and prognostics implementing condition-based maintenance Mech. Syst. Signal Process. 20 7 2006 1483 1510
-
(2006)
Mech. Syst. Signal Process.
, vol.20
, Issue.7
, pp. 1483-1510
-
-
Jardine, A.K.S.1
Lin, D.2
Banjevic, D.3
-
2
-
-
84858080502
-
A rotating machinery fault diagnosis method based on local mean decomposition
-
J. Cheng, Y. Yang, and Y. Yang A rotating machinery fault diagnosis method based on local mean decomposition Digit. Signal Process. 22 2012 356 366
-
(2012)
Digit. Signal Process.
, vol.22
, pp. 356-366
-
-
Cheng, J.1
Yang, Y.2
Yang, Y.3
-
3
-
-
70350712142
-
Nonstationary approaches to trend identification and denoising of measured power system oscillations
-
A.R. Messina, V. Vittal, G.T. Heydt, and T.J. Browne Nonstationary approaches to trend identification and denoising of measured power system oscillations IEEE Trans. Power Syst. 24 2009 1798 1807
-
(2009)
IEEE Trans. Power Syst.
, vol.24
, pp. 1798-1807
-
-
Messina, A.R.1
Vittal, V.2
Heydt, G.T.3
Browne, T.J.4
-
4
-
-
70350764824
-
Bearing performance degradation assessment based on lifting wavelet packet decomposition and fuzzy c-means
-
Y. Pan, J. Chen, and X. Li Bearing performance degradation assessment based on lifting wavelet packet decomposition and fuzzy c-means Mech. Syst. Signal Process. 24 2010 559 566
-
(2010)
Mech. Syst. Signal Process.
, vol.24
, pp. 559-566
-
-
Pan, Y.1
Chen, J.2
Li, X.3
-
5
-
-
84860375483
-
Ensemble of data-driven prognostic algorithms for robust prediction of remaining useful life
-
C. Hu, B.D. Youn, P. Wang, and J. Taek Yoon Ensemble of data-driven prognostic algorithms for robust prediction of remaining useful life Reliab. Eng. Syst. Saf. 103 2012 120 135
-
(2012)
Reliab. Eng. Syst. Saf.
, vol.103
, pp. 120-135
-
-
Hu, C.1
Youn, B.D.2
Wang, P.3
Taek Yoon, J.4
-
6
-
-
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 Mech. Syst. Signal Process. 27 2012 696 711
-
(2012)
Mech. Syst. Signal Process.
, vol.27
, pp. 696-711
-
-
Bin, G.F.1
Gao, J.J.2
Li, X.J.3
Dhillon, B.S.4
-
7
-
-
84861603437
-
Combining Relevance Vector Machines and exponential regression for bearing residual life estimation
-
F. Di Maio, K.L. Tsui, and E. Zio Combining Relevance Vector Machines and exponential regression for bearing residual life estimation Mech. Syst. Signal Process. 31 2012 405 427
-
(2012)
Mech. Syst. Signal Process.
, vol.31
, pp. 405-427
-
-
Di Maio, F.1
Tsui, K.L.2
Zio, E.3
-
8
-
-
77958041293
-
Current status of machine prognostics in condition-based maintenance: A review
-
Y. Peng, M. Dong, and M.J. Zuo Current status of machine prognostics in condition-based maintenance: a review Int. J. Adv. Manuf. Technol. 50 1-4 2010 297 313
-
(2010)
Int. J. Adv. Manuf. Technol.
, vol.50
, Issue.14
, pp. 297-313
-
-
Peng, Y.1
Dong, M.2
Zuo, M.J.3
-
9
-
-
58049190180
-
Rotating machinery prognostics: State of the art, challenges and opportunities
-
A. Heng, S. Zhang, A.C. Tan, and J. Mathew Rotating machinery prognostics: state of the art, challenges and opportunities Mech. Syst. Signal Process. 23 2009 724 739
-
(2009)
Mech. Syst. Signal Process.
, vol.23
, pp. 724-739
-
-
Heng, A.1
Zhang, S.2
Tan, A.C.3
Mathew, J.4
-
10
-
-
79955584653
-
Remaining useful life estimation - A review on the statistical data driven approaches
-
X. Si, W. Wang, C. Hu, and D. Zhou Remaining useful life estimation - a review on the statistical data driven approaches Eur. J. Oper. Res. 213 2011 1 14
-
(2011)
Eur. J. Oper. Res.
, vol.213
, pp. 1-14
-
-
Si, X.1
Wang, W.2
Hu, C.3
Zhou, D.4
-
11
-
-
84878107122
-
Remaining useful life estimation based on nonlinear feature reduction and support vector regression
-
T. Benkedjouh, K. Medjaher, N. Zerhouni, and S. Rechak Remaining useful life estimation based on nonlinear feature reduction and support vector regression Eng. Appl. Artif. Intell. 26 2013 1751 1760
-
(2013)
Eng. Appl. Artif. Intell.
, vol.26
, pp. 1751-1760
-
-
Benkedjouh, T.1
Medjaher, K.2
Zerhouni, N.3
Rechak, S.4
-
12
-
-
84879322256
-
A dynamic particle filter-support vector regression method for reliability prediction
-
Z. Wei, T. Tao, D. ZhuoShu, and E. Zio A dynamic particle filter-support vector regression method for reliability prediction Reliab. Eng. Syst. Saf. 119 2013 109 116
-
(2013)
Reliab. Eng. Syst. Saf.
, vol.119
, pp. 109-116
-
-
Wei, Z.1
Tao, T.2
Zhuoshu, D.3
Zio, E.4
-
13
-
-
79952455682
-
Machine health prognostics using survival probability and support vector machine
-
A. Widodo, and B.S. Yang Machine health prognostics using survival probability and support vector machine Expert Syst. Appl. 38 7 2011 8430 8437
-
(2011)
Expert Syst. Appl.
, vol.38
, Issue.7
, pp. 8430-8437
-
-
Widodo, A.1
Yang, B.S.2
-
14
-
-
84879103867
-
Multiple optimized online support vector regression for adaptive time series prediction
-
D. Liu, Y. Peng, J. Li, and X. Peng Multiple optimized online support vector regression for adaptive time series prediction Measurement 46 8 2013 2391 2404
-
(2013)
Measurement
, vol.46
, Issue.8
, pp. 2391-2404
-
-
Liu, D.1
Peng, Y.2
Li, J.3
Peng, X.4
-
15
-
-
84878682978
-
A framework for predicting the remaining useful life of a single unit under time-varying operating conditions
-
H. Liao, and Z. Tian A framework for predicting the remaining useful life of a single unit under time-varying operating conditions IIE Trans. 45 9 2013 964 980
-
(2013)
IIE Trans.
, vol.45
, Issue.9
, pp. 964-980
-
-
Liao, H.1
Tian, Z.2
-
16
-
-
84896314154
-
Review of hybrid prognostics approaches for remaining useful life prediction of engineered systems, and an application to battery life prediction
-
L. Liao, and F. Kottig Review of hybrid prognostics approaches for remaining useful life prediction of engineered systems, and an application to battery life prediction IEEE Trans. Reliab. 63 1 2014 191 207
-
(2014)
IEEE Trans. Reliab.
, vol.63
, Issue.1
, pp. 191-207
-
-
Liao, L.1
Kottig, F.2
-
17
-
-
84895057276
-
Prognostics uncertainty reduction by fusing on-line monitoring data based on a state-space-based degradation model
-
J. Sun, H. Zuo, and W. Wang Prognostics uncertainty reduction by fusing on-line monitoring data based on a state-space-based degradation model Mech. Syst. Signal Process. 45 2 2014 396 407
-
(2014)
Mech. Syst. Signal Process.
, vol.45
, Issue.2
, pp. 396-407
-
-
Sun, J.1
Zuo, H.2
Wang, W.3
-
18
-
-
84891769069
-
Prognosis of bearing failures using hidden Markov models and the adaptive neuro-fuzzy inference system
-
A. Soualhi, H. Razik, and G. Clerc Prognosis of bearing failures using hidden Markov models and the adaptive neuro-fuzzy inference system IEEE Trans. Ind. Electron. 61 6 2014 2864 2874
-
(2014)
IEEE Trans. Ind. Electron.
, vol.61
, Issue.6
, pp. 2864-2874
-
-
Soualhi, A.1
Razik, H.2
Clerc, G.3
-
19
-
-
85028125106
-
Framework of designing an adaptive and multi-regime prognostics and health management for wind turbine reliability and efficiency improvement
-
B.L. Song, and J. Lee Framework of designing an adaptive and multi-regime prognostics and health management for wind turbine reliability and efficiency improvement Int. J. Adv. Comput. Sci. Appl. 4 2 2013 142 149
-
(2013)
Int. J. Adv. Comput. Sci. Appl.
, vol.4
, Issue.2
, pp. 142-149
-
-
Song, B.L.1
Lee, J.2
-
20
-
-
84887056149
-
Prognostics and health management design for rotary machinery systems - Reviews, methodology and applications
-
J. Lee, F. Wu, and W. Zhao Prognostics and health management design for rotary machinery systems - reviews, methodology and applications Mech. Syst. Signal Process. 42 1 2014 314 334
-
(2014)
Mech. Syst. Signal Process.
, vol.42
, Issue.1
, pp. 314-334
-
-
Lee, J.1
Wu, F.2
Zhao, W.3
-
21
-
-
84872343379
-
Investigation of uncertainty treatment capability of model-based and data-driven prognostic methods using simulated data
-
P. Baraldi, F. Mangili, and E. Zio Investigation of uncertainty treatment capability of model-based and data-driven prognostic methods using simulated data Reliab. Eng. Syst. Saf. 112 2012 94 108
-
(2012)
Reliab. Eng. Syst. Saf.
, vol.112
, pp. 94-108
-
-
Baraldi, P.1
Mangili, F.2
Zio, E.3
-
22
-
-
78049451757
-
An online adaptive condition-based maintenance method for mechanical systems
-
F. Wu, T. Wang, and J. Lee An online adaptive condition-based maintenance method for mechanical systems Mech. Syst. Signal Process. 24 8 2010 2985 2995
-
(2010)
Mech. Syst. Signal Process.
, vol.24
, Issue.8
, pp. 2985-2995
-
-
Wu, F.1
Wang, T.2
Lee, J.3
-
24
-
-
70349443232
-
Design of a reconfigurable prognostics platform for machine tools
-
L. Liao, and J. Lee Design of a reconfigurable prognostics platform for machine tools Expert Syst. Appl. 37 1 2010 240 252
-
(2010)
Expert Syst. Appl.
, vol.37
, Issue.1
, pp. 240-252
-
-
Liao, L.1
Lee, J.2
-
26
-
-
81055147063
-
The research based on empirical mode decomposition in bearing fault diagnosis
-
T.L. Xu, X.Z. Lang, X.Y. Zhang, and X.C. Pei The research based on empirical mode decomposition in bearing fault diagnosis Appl. Mech. Mater. 103 2012 225 228
-
(2012)
Appl. Mech. Mater.
, vol.103
, pp. 225-228
-
-
Xu, T.L.1
Lang, X.Z.2
Zhang, X.Y.3
Pei, X.C.4
-
27
-
-
84870404381
-
A review on empirical mode decomposition in fault diagnosis of rotating machinery
-
Y. Lei, J. Lin, Z. He, and M.J. Zuo A review on empirical mode decomposition in fault diagnosis of rotating machinery Mech. Syst. Signal Process. 35 2013 108 126
-
(2013)
Mech. Syst. Signal Process.
, vol.35
, pp. 108-126
-
-
Lei, Y.1
Lin, J.2
He, Z.3
Zuo, M.J.4
-
28
-
-
5044252073
-
Robust performance degradation assessment methods for enhanced rolling element bearing prognostics
-
H. Qiu, J. Lee, J. Lin, and G. Yu Robust performance degradation assessment methods for enhanced rolling element bearing prognostics Adv. Eng. Inform. 17 2003 127 140
-
(2003)
Adv. Eng. Inform.
, vol.17
, pp. 127-140
-
-
Qiu, H.1
Lee, J.2
Lin, J.3
Yu, G.4
-
29
-
-
84875254721
-
Dynamic degradation observer for bearing fault by MTS-SOM system
-
J. Hu, L. Zhang, and W. Liang Dynamic degradation observer for bearing fault by MTS-SOM system Mech. Syst. Signal Process. 36 2 2012 385 400
-
(2012)
Mech. Syst. Signal Process.
, vol.36
, Issue.2
, pp. 385-400
-
-
Hu, J.1
Zhang, L.2
Liang, W.3
-
30
-
-
79955827452
-
A hybrid feature selection scheme and self-organizing map model for machine health assessment
-
J. Yu A hybrid feature selection scheme and self-organizing map model for machine health assessment Appl. Soft Comput. 11 2011 4041 4054
-
(2011)
Appl. Soft Comput.
, vol.11
, pp. 4041-4054
-
-
Yu, J.1
-
32
-
-
79951581707
-
EEMD method and WNN for fault diagnosis of locomotive roller bearings
-
Y. Lei, Z. He, and Y. Zi EEMD method and WNN for fault diagnosis of locomotive roller bearings Expert Syst. Appl. 38 6 2011 7334 7341
-
(2011)
Expert Syst. Appl.
, vol.38
, Issue.6
, pp. 7334-7341
-
-
Lei, Y.1
He, Z.2
Zi, Y.3
-
34
-
-
70350714884
-
Intelligent analysis model of slope nonlinear displacement time series based on genetic-Gaussian process regression algorithm of combined kernel function
-
K. Liu, B. Liu, and C. Xu Intelligent analysis model of slope nonlinear displacement time series based on genetic-Gaussian process regression algorithm of combined kernel function Chin. J. Rock Mech. Eng. 10 2009 2128 2134
-
(2009)
Chin. J. Rock Mech. Eng.
, vol.10
, pp. 2128-2134
-
-
Liu, K.1
Liu, B.2
Xu, C.3
-
36
-
-
84883747869
-
PRONOSTIA: An experimental platform for bearings accelerated degradation tests
-
P. Nectoux, R. Gouriveau, K. Medjaher, E. Ramasso, B. Chebel-Morello, N. Zerhouni, and C. Varnier PRONOSTIA: an experimental platform for bearings accelerated degradation tests IEEE International Conference on Prognostics and Health Management 2012 1 8
-
(2012)
IEEE International Conference on Prognostics and Health Management
, pp. 1-8
-
-
Nectoux, P.1
Gouriveau, R.2
Medjaher, K.3
Ramasso, E.4
Chebel-Morello, B.5
Zerhouni, N.6
Varnier, C.7
-
38
-
-
0033721855
-
Prognosis of remaining bearing life using neural networks
-
Y. Shao, and K. Nezu Prognosis of remaining bearing life using neural networks Proc. Inst. Mech. Eng., Part I, J. Syst. Control Eng. 214 3 2000 217 230
-
(2000)
Proc. Inst. Mech. Eng., Part I, J. Syst. Control Eng.
, vol.214
, Issue.3
, pp. 217-230
-
-
Shao, Y.1
Nezu, K.2
|