-
1
-
-
84876277055
-
Ball bearing damage detection using traditional signal processing algorithms
-
Bediaga I., Mendizabal X., Arnaiz A., Munoa J. Ball bearing damage detection using traditional signal processing algorithms IEEE Instrumentation and Measurement Magazine 16 2 2013 20 25
-
(2013)
IEEE Instrumentation and Measurement Magazine
, vol.16
, Issue.2
, pp. 20-25
-
-
Bediaga, I.1
Mendizabal, X.2
Arnaiz, A.3
Munoa, J.4
-
3
-
-
84889239975
-
Reconfigurable monitoring system for time-frequency analysis on industrial equipment through STFT and DWT
-
Cabal-Yepez E., Garcia-Ramirez A.G., Romero-Troncoso R.J., Garcia-Perez A., Osornio-Rios R.A. Reconfigurable monitoring system for time-frequency analysis on industrial equipment through STFT and DWT IEEE Transactions on Industrial Informatics 9 2 2013 760 771
-
(2013)
IEEE Transactions on Industrial Informatics
, vol.9
, Issue.2
, pp. 760-771
-
-
Cabal-Yepez, E.1
Garcia-Ramirez, A.G.2
Romero-Troncoso, R.J.3
Garcia-Perez, A.4
Osornio-Rios, R.A.5
-
4
-
-
84884504255
-
Condition monitoring of naturally damaged slow speed slewing bearing based on ensemble empirical mode decomposition
-
Caesarendra W., Kosasih P.B., Tieu A.K., Moodie C.A.S., Choi B.-K. Condition monitoring of naturally damaged slow speed slewing bearing based on ensemble empirical mode decomposition Journal of Mechanical Science and Technology 27 8 2013 2253 2262
-
(2013)
Journal of Mechanical Science and Technology
, vol.27
, Issue.8
, pp. 2253-2262
-
-
Caesarendra, W.1
Kosasih, P.B.2
Tieu, A.K.3
Moodie, C.A.S.4
Choi, B.-K.5
-
5
-
-
84919898028
-
A frequency-shifted bispectrum for rolling element bearing diagnosis
-
Dong G., Chen J., Zhao F. A frequency-shifted bispectrum for rolling element bearing diagnosis Journal of Sound and Vibration 339 2015 396 418
-
(2015)
Journal of Sound and Vibration
, vol.339
, pp. 396-418
-
-
Dong, G.1
Chen, J.2
Zhao, F.3
-
10
-
-
71749107746
-
Accelerated natural fault diagnosis in slow speed bearings with acoustic emission
-
Elforjani M., Mba D. Accelerated natural fault diagnosis in slow speed bearings with acoustic emission Engineering Fracture Mechanics 77 2010 112 127
-
(2010)
Engineering Fracture Mechanics
, vol.77
, pp. 112-127
-
-
Elforjani, M.1
Mba, D.2
-
11
-
-
53849101378
-
Natural mechanical degradation measurements in slow speed bearings
-
Elforjani M., Mba D. Natural mechanical degradation measurements in slow speed bearings Engineering Failure Analysis 16 2009 521 532
-
(2009)
Engineering Failure Analysis
, vol.16
, pp. 521-532
-
-
Elforjani, M.1
Mba, D.2
-
12
-
-
84868208722
-
Evaluation of the use of envelope analysis and DWT on AE signals generated from degrading shafts
-
Gu D., Kim J., Kelimu T., Huh S.-C., Choi B.-K. Evaluation of the use of envelope analysis and DWT on AE signals generated from degrading shafts Materials Science and Engineering B 177 2012 1683 1690
-
(2012)
Materials Science and Engineering B
, vol.177
, pp. 1683-1690
-
-
Gu, D.1
Kim, J.2
Kelimu, T.3
Huh, S.-C.4
Choi, B.-K.5
-
13
-
-
33646534620
-
A review on machinery diagnostics and prognostics implementing condition-based maintenance
-
Jardine A.K.S., Lin D., Banjevic D. A review on machinery diagnostics and prognostics implementing condition-based maintenance Mechanical Systems and Signal Processing 20 2006 1483 1510
-
(2006)
Mechanical Systems and Signal Processing
, vol.20
, pp. 1483-1510
-
-
Jardine, A.K.S.1
Lin, D.2
Banjevic, D.3
-
14
-
-
84971379024
-
Rolling bearing fault diagnosis approach using probabilistic principal component analysis denoising and cyclic bispectrum
-
Jiang B., Xiang J., Wang Y. Rolling bearing fault diagnosis approach using probabilistic principal component analysis denoising and cyclic bispectrum Journal of Vibration and Control 2014 http:/Dx.doi.org/10.1177/1077546314547533
-
(2014)
Journal of Vibration and Control
-
-
Jiang, B.1
Xiang, J.2
Wang, Y.3
-
15
-
-
84920173957
-
High-performance and energy-efficient fault diagnosis using effective envelope analysis and denoising on a general-purpose graphics processing unit
-
Kang M., Kim J., Kim J.-M. High-performance and energy-efficient fault diagnosis using effective envelope analysis and denoising on a general-purpose graphics processing unit IEEE Transactions on Power Electronics 30 5 2015 2763 2776
-
(2015)
IEEE Transactions on Power Electronics
, vol.30
, Issue.5
, pp. 2763-2776
-
-
Kang, M.1
Kim, J.2
Kim, J.-M.3
-
16
-
-
84871494807
-
Rolling element bearing fault detection using acoustic emission signal analyzed by envelope analysis with discrete wavelet transform
-
Kim B., Gu D., Kim J., Kim Y., Choi B.-K. Rolling element bearing fault detection using acoustic emission signal analyzed by envelope analysis with discrete wavelet transform Engineering Asset Lifecycle Management 2010 596 602
-
(2010)
Engineering Asset Lifecycle Management
, pp. 596-602
-
-
Kim, B.1
Gu, D.2
Kim, J.3
Kim, Y.4
Choi, B.-K.5
-
17
-
-
84890563821
-
EMD-based filtering using similarity measure between probability density functions of IMFs
-
Komaty A., Boudraa A.-O, Augier B., Dare-Emzivat D. EMD-based filtering using similarity measure between probability density functions of IMFs IEEE Transactions on Instrumentation and Measurement 63 1 2014 27 34
-
(2014)
IEEE Transactions on Instrumentation and Measurement
, vol.63
, Issue.1
, pp. 27-34
-
-
Komaty, A.1
Boudraa, A.-O.2
Augier, B.3
Dare-Emzivat, D.4
-
18
-
-
63449122839
-
Development of EMD-based denoising methods inspired by wavelet thresholding
-
Kopsinis Y., McLaughlin S. Development of EMD-based denoising methods inspired by wavelet thresholding IEEE Transactions on Signal Processing 57 4 2009 1351 1362
-
(2009)
IEEE Transactions on Signal Processing
, vol.57
, Issue.4
, pp. 1351-1362
-
-
Kopsinis, Y.1
McLaughlin, S.2
-
20
-
-
84870404381
-
A review on empirical mode decomposition in fault diagnosis of rotating machinery
-
Lei Y., Lin J., He Z., Zuo M.J. A review on empirical mode decomposition in fault diagnosis of rotating machinery Mechanical Systems and Signal Processing 35 2013 108 126
-
(2013)
Mechanical Systems and Signal Processing
, vol.35
, pp. 108-126
-
-
Lei, Y.1
Lin, J.2
He, Z.3
Zuo, M.J.4
-
21
-
-
84892373249
-
The use of acoustic emission information to distinguish between dry and lubricated rolling element bearings in low-speed rotating machines
-
Niknam S.A., Songmene V., Au J.H.J. The use of acoustic emission information to distinguish between dry and lubricated rolling element bearings in low-speed rotating machines International Journal of Advanced Manufacturing Technology 69 9-12 2013 2679 2689
-
(2013)
International Journal of Advanced Manufacturing Technology
, vol.69
, Issue.9-12
, pp. 2679-2689
-
-
Niknam, S.A.1
Songmene, V.2
Au, J.H.J.3
-
22
-
-
84875368599
-
Fault diagnosis of rolling element bearing with intrinsic mode function of acoustic emission data using APF-KNN
-
Pandya D.H., Upadhyay S.H., Harsha S.P. Fault diagnosis of rolling element bearing with intrinsic mode function of acoustic emission data using APF-KNN Expert Systems with Applications 40 2013 4137 4145
-
(2013)
Expert Systems with Applications
, vol.40
, pp. 4137-4145
-
-
Pandya, D.H.1
Upadhyay, S.H.2
Harsha, S.P.3
-
24
-
-
84935003366
-
Intelligent mechanical fault diagnosis based on multiwavelet adaptive threshold denoising and MPSO
-
Sun H., Li K., Wang H., Chen P., Cao Y. Intelligent mechanical fault diagnosis based on multiwavelet adaptive threshold denoising and MPSO Mathematical Problems in Engineering 2014 2014 1 15
-
(2014)
Mathematical Problems in Engineering
, vol.2014
, pp. 1-15
-
-
Sun, H.1
Li, K.2
Wang, H.3
Chen, P.4
Cao, Y.5
-
25
-
-
84890012235
-
Wind turbine fault detection using multiwavelet denoising with the data-driven block threshold
-
Sun H., Zi Y., He Z. Wind turbine fault detection using multiwavelet denoising with the data-driven block threshold Applied Acoustics 77 2014 122 129
-
(2014)
Applied Acoustics
, vol.77
, pp. 122-129
-
-
Sun, H.1
Zi, Y.2
He, Z.3
-
26
-
-
84942077807
-
Early damage detection of roller bearings using wavelet packet decomposition, ensemble empirical mode decomposition and support vector machine
-
Tabrizi A., Garibaldi L., Fasana A., Marchesiello S. Early damage detection of roller bearings using wavelet packet decomposition, ensemble empirical mode decomposition and support vector machine Meccanica 50 2014 865 874 http:dX.doi.org/10.1007/s11012-014-9968-z
-
(2014)
Meccanica
, vol.50
, pp. 865-874
-
-
Tabrizi, A.1
Garibaldi, L.2
Fasana, A.3
Marchesiello, S.4
-
27
-
-
84870434396
-
Automatic detection of mode mixing in empirical mode decomposition using non-stationarity detection: Application to selecting IMFs of interest and denoising
-
Terrien J., Marque C., Karlsson B. Automatic detection of mode mixing in empirical mode decomposition using non-stationarity detection: application to selecting IMFs of interest and denoising EURASIP Journal of Advances in Signal Processing 37 2011 1 8
-
(2011)
EURASIP Journal of Advances in Signal Processing
, vol.37
, pp. 1-8
-
-
Terrien, J.1
Marque, C.2
Karlsson, B.3
-
28
-
-
58749101018
-
Fault diagnosis of low speed bearing based on relevance vector machine and support vector machine
-
Widodo A., Kim E.Y., Son J.-D., Yang B.-S., Tan A.C.C., Gu D.-S., et al. Fault diagnosis of low speed bearing based on relevance vector machine and support vector machine Expert Systems with Applications 36 2009 7252 7261
-
(2009)
Expert Systems with Applications
, vol.36
, pp. 7252-7261
-
-
Widodo, A.1
Kim, E.Y.2
Son, J.-D.3
Yang, B.-S.4
Tan, A.C.C.5
Gu, D.-S.6
-
29
-
-
70749108497
-
Fault diagnosis of low speed bearing based on acoustic emission signal and multi-class relevance vector machine
-
Widodo A., Yang B.-S., Kim E.Y., Tan A.C.C., Mathew J. Fault diagnosis of low speed bearing based on acoustic emission signal and multi-class relevance vector machine Nondestructive Testing and Evaluation 24 4 2009 313 328
-
(2009)
Nondestructive Testing and Evaluation
, vol.24
, Issue.4
, pp. 313-328
-
-
Widodo, A.1
Yang, B.-S.2
Kim, E.Y.3
Tan, A.C.C.4
Mathew, J.5
-
30
-
-
84887433963
-
Wavelets for fault diagnosis of rotary machines: A review with applications
-
Yan R., Gao R.X., Chen X. Wavelets for fault diagnosis of rotary machines: a review with applications Signal Processing 96 2014 1 15
-
(2014)
Signal Processing
, vol.96
, pp. 1-15
-
-
Yan, R.1
Gao, R.X.2
Chen, X.3
-
31
-
-
79960045420
-
Non-linear multivariate and multiscale monitoring and signal denoising strategy using kernel principal component analysis combined with ensemble empirical mode decomposition method
-
Zvokelj M., Zupan S., Prebil I. Non-linear multivariate and multiscale monitoring and signal denoising strategy using kernel principal component analysis combined with ensemble empirical mode decomposition method Mechanical Systems and Signal Processing 25 2011 2631 2653
-
(2011)
Mechanical Systems and Signal Processing
, vol.25
, pp. 2631-2653
-
-
Zvokelj, M.1
Zupan, S.2
Prebil, I.3
|