-
1
-
-
84887433963
-
Wavelets for fault diagnosis of rotary machines: a review with applications
-
Part A
-
[1] Yan, R., Gao, R.X., Chen, X., Wavelets for fault diagnosis of rotary machines: a review with applications. Signal Process. 96 (2014), 1–15 Part A.
-
(2014)
Signal Process.
, vol.96
, pp. 1-15
-
-
Yan, R.1
Gao, R.X.2
Chen, X.3
-
2
-
-
84929376682
-
A survey of fault diagnosis and fault-tolerant techniques—part I: fault diagnosis with model-based and signal-based approaches
-
[2] Gao, Z., Cecati, C., Ding, S., A survey of fault diagnosis and fault-tolerant techniques—part I: fault diagnosis with model-based and signal-based approaches. IEEE Trans. Ind. Electron. 62:6 (2015), 3757–3767.
-
(2015)
IEEE Trans. Ind. Electron.
, vol.62
, Issue.6
, pp. 3757-3767
-
-
Gao, Z.1
Cecati, C.2
Ding, S.3
-
3
-
-
84889096899
-
Multiwavelet transform and its applications in mechanical fault diagnosis - a review
-
[3] Sun, H., He, Z., Zi, Y., Yuan, J., Wang, X., Chen, J., He, S., Multiwavelet transform and its applications in mechanical fault diagnosis - a review. Mech. Syst. Signal Process. 43:1–2 (2014), 1–24.
-
(2014)
Mech. Syst. Signal Process.
, vol.43
, Issue.1-2
, pp. 1-24
-
-
Sun, H.1
He, Z.2
Zi, Y.3
Yuan, J.4
Wang, X.5
Chen, J.6
He, S.7
-
4
-
-
84887056149
-
Prognostics and health management design for rotary machinery systems-reviews, methodology and applications
-
[4] Lee, J., Wu, F., Zhao, W., Ghaffari, M., Liao, L., Siegel, D., Prognostics and health management design for rotary machinery systems-reviews, methodology and applications. Mech. Syst. Signal Process. 42:1–2 (2014), 314–334.
-
(2014)
Mech. Syst. Signal Process.
, vol.42
, Issue.1-2
, pp. 314-334
-
-
Lee, J.1
Wu, F.2
Zhao, W.3
Ghaffari, M.4
Liao, L.5
Siegel, D.6
-
5
-
-
84891585059
-
Vibration-Based Condition Monitoring: Industrial, Aerospace and Automotive Applications
-
John Wiley
-
[5] Randall, R.B., Vibration-Based Condition Monitoring: Industrial, Aerospace and Automotive Applications. 2011, John Wiley.
-
(2011)
-
-
Randall, R.B.1
-
6
-
-
78649600770
-
Rolling element bearing diagnostics—a tutorial
-
[6] Randall, R.B., Antoni, J., Rolling element bearing diagnostics—a tutorial. Mech. Syst. Signal Process. 25:2 (2011), 485–520.
-
(2011)
Mech. Syst. Signal Process.
, vol.25
, Issue.2
, pp. 485-520
-
-
Randall, R.B.1
Antoni, J.2
-
7
-
-
84940890503
-
An extensive review of vibration modelling of rolling element bearings with localised and extended defects
-
[7] Singh, S., Howard, C.Q., Hansen, C.H., An extensive review of vibration modelling of rolling element bearings with localised and extended defects. J. Sound Vib. 357 (2015), 300–330.
-
(2015)
J. Sound Vib.
, vol.357
, pp. 300-330
-
-
Singh, S.1
Howard, C.Q.2
Hansen, C.H.3
-
8
-
-
84945246972
-
Spectral kurtosis for fault detection, diagnosis and prognostics of rotating machines: a review with applications
-
[8] Wang, Y., Xiang, J., Markert, R., Liang, M., Spectral kurtosis for fault detection, diagnosis and prognostics of rotating machines: a review with applications. Mech. Syst. Signal Process. 66–67 (2016), 679–698.
-
(2016)
Mech. Syst. Signal Process.
, vol.66-67
, pp. 679-698
-
-
Wang, Y.1
Xiang, J.2
Markert, R.3
Liang, M.4
-
9
-
-
84901693579
-
Selection of informative frequency band in local damage detection in rotating machinery
-
[9] Obuchowski, J., Wyłomańska, A., Zimroz, R., Selection of informative frequency band in local damage detection in rotating machinery. Mech. Syst. Signal Process. 48:1 (2014), 138–152.
-
(2014)
Mech. Syst. Signal Process.
, vol.48
, Issue.1
, pp. 138-152
-
-
Obuchowski, J.1
Wyłomańska, A.2
Zimroz, R.3
-
10
-
-
84889079481
-
The relationship between kurtosis-and envelope-based indexes for the diagnostic of rolling element bearings
-
[10] Borghesani, P., Pennacchi, P., Chatterton, S., The relationship between kurtosis-and envelope-based indexes for the diagnostic of rolling element bearings. Mech. Syst. Signal Process. 43:1 (2014), 25–43.
-
(2014)
Mech. Syst. Signal Process.
, vol.43
, Issue.1
, pp. 25-43
-
-
Borghesani, P.1
Pennacchi, P.2
Chatterton, S.3
-
11
-
-
84991548185
-
Detection of rolling element bearing damage by statistical vibration analysis
-
[11] Dyer, D., Stewart, R., Detection of rolling element bearing damage by statistical vibration analysis. ASME J. Mech. Des., 100(2), 1978, 115.
-
(1978)
ASME J. Mech. Des.
, vol.100
, Issue.2
, pp. 115
-
-
Dyer, D.1
Stewart, R.2
-
12
-
-
33749508107
-
Fast computation of the kurtogram for the detection of transient faults
-
[12] Antoni, J., Fast computation of the kurtogram for the detection of transient faults. Mech. Syst. Signal Process. 21:1 (2007), 108–124.
-
(2007)
Mech. Syst. Signal Process.
, vol.21
, Issue.1
, pp. 108-124
-
-
Antoni, J.1
-
13
-
-
78349312157
-
A novel method for the optimal band selection for vibration signal demodulation and comparison with the kurtogram
-
[13] Barszcz, T., Jablonski, A., A novel method for the optimal band selection for vibration signal demodulation and comparison with the kurtogram. Mech. Syst. Signal Process. 25:1 (2011), 431–451.
-
(2011)
Mech. Syst. Signal Process.
, vol.25
, Issue.1
, pp. 431-451
-
-
Barszcz, T.1
Jablonski, A.2
-
14
-
-
79953874236
-
An adaptive sk technique and its application for fault detection of rolling element bearings
-
[14] Wang, Y., Liang, M., An adaptive sk technique and its application for fault detection of rolling element bearings. Mech. Syst. Signal Process. 25:5 (2011), 1750–1764.
-
(2011)
Mech. Syst. Signal Process.
, vol.25
, Issue.5
, pp. 1750-1764
-
-
Wang, Y.1
Liang, M.2
-
15
-
-
84881312436
-
Detecting of transient vibration signatures using an improved fast spatial-spectral ensemble kurtosis kurtogram and its applications to mechanical signature analysis of short duration data from rotating machinery
-
[15] Chen, B., Zhang, Z., Zi, Y., He, Z., Sun, C., Detecting of transient vibration signatures using an improved fast spatial-spectral ensemble kurtosis kurtogram and its applications to mechanical signature analysis of short duration data from rotating machinery. Mech. Syst. Signal Process. 40:1 (2013), 1–37.
-
(2013)
Mech. Syst. Signal Process.
, vol.40
, Issue.1
, pp. 1-37
-
-
Chen, B.1
Zhang, Z.2
Zi, Y.3
He, Z.4
Sun, C.5
-
16
-
-
84883851301
-
The design of a new sparsogram for fast bearing fault diagnosis: part 1 of the two related manuscripts that have a joint title as two automatic vibration-based fault diagnostic methods using the novel sparsity measurement - parts 1 and 2
-
[16] Tse, P.W., Wang, D., The design of a new sparsogram for fast bearing fault diagnosis: part 1 of the two related manuscripts that have a joint title as two automatic vibration-based fault diagnostic methods using the novel sparsity measurement - parts 1 and 2. Mech. Syst. Signal Process. 40:2 (2013), 499–519.
-
(2013)
Mech. Syst. Signal Process.
, vol.40
, Issue.2
, pp. 499-519
-
-
Tse, P.W.1
Wang, D.2
-
17
-
-
84941343835
-
Sparse feature identification based on union of redundant dictionary for wind turbine gearbox fault diagnosis
-
[17] Du, Z., Chen, X., Zhang, H., Yan, R., Sparse feature identification based on union of redundant dictionary for wind turbine gearbox fault diagnosis. IEEE Trans. Ind. Electron. 62:10 (2015), 6594–6605.
-
(2015)
IEEE Trans. Ind. Electron.
, vol.62
, Issue.10
, pp. 6594-6605
-
-
Du, Z.1
Chen, X.2
Zhang, H.3
Yan, R.4
-
18
-
-
84957795289
-
Nonlocal sparse model with adaptive structural clustering for feature extraction of aero-engine bearings
-
[18] Zhang, H., Chen, X., Du, Z., Li, X., Yan, R., Nonlocal sparse model with adaptive structural clustering for feature extraction of aero-engine bearings. J. Sound Vib., 2016, 6594–6605.
-
(2016)
J. Sound Vib.
, pp. 6594-6605
-
-
Zhang, H.1
Chen, X.2
Du, Z.3
Li, X.4
Yan, R.5
-
19
-
-
84883871688
-
Construction and selection of lifting-based multiwavelets for mechanical fault detection
-
[19] Yuan, J., He, Z., Zi, Y., Wei, Y., Construction and selection of lifting-based multiwavelets for mechanical fault detection. Mech. Syst. Signal Process. 40:2 (2013), 571–588.
-
(2013)
Mech. Syst. Signal Process.
, vol.40
, Issue.2
, pp. 571-588
-
-
Yuan, J.1
He, Z.2
Zi, Y.3
Wei, Y.4
-
20
-
-
84887486721
-
Compressed sensing based on dictionary learning for extracting impulse components
-
[20] Chen, X., Du, Z., Li, J., Li, X., Zhang, H., Compressed sensing based on dictionary learning for extracting impulse components. Signal Process. 96 (2014), 94–109.
-
(2014)
Signal Process.
, vol.96
, pp. 94-109
-
-
Chen, X.1
Du, Z.2
Li, J.3
Li, X.4
Zhang, H.5
-
21
-
-
80051883371
-
Impact of wavelet basis on vibration analysis for rolling bearing defect diagnosis,
-
[21] R. Yan, R. Gao, Impact of wavelet basis on vibration analysis for rolling bearing defect diagnosis, in: Instrumentation and Measurement Technology Conference (I2MTC), 2011 IEEE, 2011, pp. 1–4.
-
(2011)
Instrumentation and Measurement Technology Conference (I2MTC), 2011 IEEE
, pp. 1-4
-
-
Yan, R.1
Gao, R.2
-
22
-
-
79952194684
-
Machine condition classification using deterioration feature extraction and anomaly determination
-
[22] Jiang, D., Liu, C., Machine condition classification using deterioration feature extraction and anomaly determination. IEEE Trans. Reliab. 60:1 (2011), 41–48.
-
(2011)
IEEE Trans. Reliab.
, vol.60
, Issue.1
, pp. 41-48
-
-
Jiang, D.1
Liu, C.2
-
23
-
-
39649087791
-
A joint resonance frequency estimation and in-band noise reduction method for enhancing the detectability of bearing fault signals
-
[23] Bozchalooi, I.S., Liang, M., A joint resonance frequency estimation and in-band noise reduction method for enhancing the detectability of bearing fault signals. Mech. Syst. Signal Process. 22:4 (2008), 915–933.
-
(2008)
Mech. Syst. Signal Process.
, vol.22
, Issue.4
, pp. 915-933
-
-
Bozchalooi, I.S.1
Liang, M.2
-
24
-
-
79952311015
-
Application of hermitian wavelet to crack fault detection in gearbox
-
[24] Li, H., Zhang, Y., Zheng, H., Application of hermitian wavelet to crack fault detection in gearbox. Mech. Syst. Signal Process. 25:4 (2011), 1353–1363.
-
(2011)
Mech. Syst. Signal Process.
, vol.25
, Issue.4
, pp. 1353-1363
-
-
Li, H.1
Zhang, Y.2
Zheng, H.3
-
25
-
-
84921532580
-
Incipient fault information determination for rolling element bearing based on synchronous averaging reassigned wavelet scalogram
-
[25] Li, H., Xu, F., Liu, H., Zhang, X., Incipient fault information determination for rolling element bearing based on synchronous averaging reassigned wavelet scalogram. Measurement 65 (2015), 1–10.
-
(2015)
Measurement
, vol.65
, pp. 1-10
-
-
Li, H.1
Xu, F.2
Liu, H.3
Zhang, X.4
-
26
-
-
78349308990
-
Multiwavelet denoising with improved neighboring coefficients for application on rolling bearing fault diagnosis
-
[26] Wang, X., Zi, Y., He, Z., Multiwavelet denoising with improved neighboring coefficients for application on rolling bearing fault diagnosis. Mech. Syst. Signal Process. 25:1 (2011), 285–304.
-
(2011)
Mech. Syst. Signal Process.
, vol.25
, Issue.1
, pp. 285-304
-
-
Wang, X.1
Zi, Y.2
He, Z.3
-
27
-
-
84890012235
-
Wind turbine fault detection using multiwavelet denoising with the data-driven block threshold
-
[27] Sun, H., Zi, Y., He, Z., Wind turbine fault detection using multiwavelet denoising with the data-driven block threshold. Appl. Acoust. 77 (2014), 122–129.
-
(2014)
Appl. Acoust.
, vol.77
, pp. 122-129
-
-
Sun, H.1
Zi, Y.2
He, Z.3
-
28
-
-
84876940227
-
Recent advances in time-frequency analysis methods for machinery fault diagnosis: a review with application examples
-
condition monitoring of machines in non-stationary operations
-
[28] Feng, Z., Liang, M., Chu, F., Recent advances in time-frequency analysis methods for machinery fault diagnosis: a review with application examples. Mech. Syst. Signal Process. 38:1 (2013), 165–205 condition monitoring of machines in non-stationary operations.
-
(2013)
Mech. Syst. Signal Process.
, vol.38
, Issue.1
, pp. 165-205
-
-
Feng, Z.1
Liang, M.2
Chu, F.3
-
29
-
-
80051471430
-
Resonance-based signal decomposition: a new sparsity-enabled signal analysis method
-
[29] Selesnick, I.W., Resonance-based signal decomposition: a new sparsity-enabled signal analysis method. Signal Process. 91:12 (2011), 2793–2809.
-
(2011)
Signal Process.
, vol.91
, Issue.12
, pp. 2793-2809
-
-
Selesnick, I.W.1
-
30
-
-
84885572174
-
Sparsity-enabled signal decomposition using tunable q-factor wavelet transform for fault feature extraction of gearbox
-
[30] Cai, G., Chen, X., He, Z., Sparsity-enabled signal decomposition using tunable q-factor wavelet transform for fault feature extraction of gearbox. Mech. Syst. Signal Process. 41:1–2 (2013), 34–53.
-
(2013)
Mech. Syst. Signal Process.
, vol.41
, Issue.1-2
, pp. 34-53
-
-
Cai, G.1
Chen, X.2
He, Z.3
-
31
-
-
84901695542
-
Feature extraction of rolling bearing's early weak fault based on eemd and tunable q-factor wavelet transform
-
[31] Wang, H., Chen, J., Dong, G., Feature extraction of rolling bearing's early weak fault based on eemd and tunable q-factor wavelet transform. Mech. Syst. Signal Process. 48:1–2 (2014), 103–119.
-
(2014)
Mech. Syst. Signal Process.
, vol.48
, Issue.1-2
, pp. 103-119
-
-
Wang, H.1
Chen, J.2
Dong, G.3
-
32
-
-
84916216664
-
Automatic fault feature extraction of mechanical anomaly on induction motor bearing using ensemble super-wavelet transform
-
[32] He, W., Zi, Y., Chen, B., Wu, F., He, Z., Automatic fault feature extraction of mechanical anomaly on induction motor bearing using ensemble super-wavelet transform. Mech. Syst. Signal Process. 5455 (2015), 457–480.
-
(2015)
Mech. Syst. Signal Process.
, vol.5455
, pp. 457-480
-
-
He, W.1
Zi, Y.2
Chen, B.3
Wu, F.4
He, Z.5
-
33
-
-
79960408153
-
Wavelet transform with tunable q-factor
-
[33] Selesnick, I., Wavelet transform with tunable q-factor. IEEE Trans. Signal Process. 59:8 (2011), 3560–3575.
-
(2011)
IEEE Trans. Signal Process.
, vol.59
, Issue.8
, pp. 3560-3575
-
-
Selesnick, I.1
-
34
-
-
84940896108
-
A systematic study of ball passing frequencies based on dynamic modeling of rolling ball bearings with localized surface defects
-
[34] Niu, L., Cao, H., He, Z., Li, Y., A systematic study of ball passing frequencies based on dynamic modeling of rolling ball bearings with localized surface defects. J. Sound Vib. 357 (2015), 207–232.
-
(2015)
J. Sound Vib.
, vol.357
, pp. 207-232
-
-
Niu, L.1
Cao, H.2
He, Z.3
Li, Y.4
-
35
-
-
59749104367
-
From sparse solutions of systems of equations to sparse modeling of signals and images
-
[35] Bruckstein, A.M., Donoho, D.L., Elad, M., From sparse solutions of systems of equations to sparse modeling of signals and images. SIAM Rev. 51:1 (2009), 34–81.
-
(2009)
SIAM Rev.
, vol.51
, Issue.1
, pp. 34-81
-
-
Bruckstein, A.M.1
Donoho, D.L.2
Elad, M.3
-
36
-
-
80051736221
-
Structured compressed sensing: from theory to applications
-
[36] Duarte, M., Eldar, Y., Structured compressed sensing: from theory to applications. IEEE Trans. Signal Process. 59:9 (2011), 4053–4085.
-
(2011)
IEEE Trans. Signal Process.
, vol.59
, Issue.9
, pp. 4053-4085
-
-
Duarte, M.1
Eldar, Y.2
-
37
-
-
85032752418
-
Convex optimization for big data: scalable, randomized, and parallel algorithms for big data analytics
-
[37] Cevher, V., Becker, S., Schmidt, M., Convex optimization for big data: scalable, randomized, and parallel algorithms for big data analytics. IEEE Trans. Signal Process. 31:5 (2014), 32–43.
-
(2014)
IEEE Trans. Signal Process.
, vol.31
, Issue.5
, pp. 32-43
-
-
Cevher, V.1
Becker, S.2
Schmidt, M.3
-
38
-
-
84976486021
-
Proximal splitting methods in signal processing,
-
[38] P.L. Combettes, J.-C. Pesquet, Proximal splitting methods in signal processing, in: Fixed-point Algorithms for Inverse Problems in Science and Engineering, Springer, New York, 2011, pp. 185–212.
-
(2011)
Fixed-point Algorithms for Inverse Problems in Science and Engineering, Springer, New York
, pp. 185-212
-
-
Combettes, P.L.1
Pesquet, J.-C.2
-
39
-
-
84891825865
-
Structural damage identification via a combination of blind feature extraction and sparse representation classification
-
[39] Yang, Y., Nagarajaiah, S., Structural damage identification via a combination of blind feature extraction and sparse representation classification. Mech. Syst. Signal Process. 45:1 (2014), 1–23.
-
(2014)
Mech. Syst. Signal Process.
, vol.45
, Issue.1
, pp. 1-23
-
-
Yang, Y.1
Nagarajaiah, S.2
-
40
-
-
80051762104
-
Distributed optimization and statistical learning via the alternating direction method of multipliers
-
[40] Boyd, S., Parikh, N., Chu, E., Peleato, B., Eckstein, J., Distributed optimization and statistical learning via the alternating direction method of multipliers. Found. Trends Mach. Learn. 3:1 (2011), 1–122.
-
(2011)
Found. Trends Mach. Learn.
, vol.3
, Issue.1
, pp. 1-122
-
-
Boyd, S.1
Parikh, N.2
Chu, E.3
Peleato, B.4
Eckstein, J.5
-
41
-
-
84951266986
-
On the global and linear convergence of the generalized alternating direction method of multipliers
-
[41] Deng, W., Yin, W., On the global and linear convergence of the generalized alternating direction method of multipliers. J. Sci. Comput., 2015, 1–28.
-
(2015)
J. Sci. Comput.
, pp. 1-28
-
-
Deng, W.1
Yin, W.2
-
42
-
-
34249837486
-
On the Douglas–Rachford splitting method and the proximal point algorithm for maximal monotone operators
-
[42] Eckstein, J., Bertsekas, D.P., On the Douglas–Rachford splitting method and the proximal point algorithm for maximal monotone operators. Math. Progr. 55:1–3 (1992), 293–318.
-
(1992)
Math. Progr.
, vol.55
, Issue.1-3
, pp. 293-318
-
-
Eckstein, J.1
Bertsekas, D.P.2
-
43
-
-
33644547646
-
Wavelet filter-based weak signature detection method and its application on rolling element bearing prognostics
-
[43] Qiu, H., Lee, J., Lin, J., Yu, G., Wavelet filter-based weak signature detection method and its application on rolling element bearing prognostics. J. Sound Vib. 289:4–5 (2006), 1066–1090.
-
(2006)
J. Sound Vib.
, vol.289
, Issue.4-5
, pp. 1066-1090
-
-
Qiu, H.1
Lee, J.2
Lin, J.3
Yu, G.4
-
44
-
-
33750383209
-
K -svd: an algorithm for designing overcomplete dictionaries for sparse representation
-
[44] Aharon, M., Elad, M., Bruckstein, A., K -svd: an algorithm for designing overcomplete dictionaries for sparse representation. IEEE Trans. Signal Process. 54:11 (2006), 4311–4322.
-
(2006)
IEEE Trans. Signal Process.
, vol.54
, Issue.11
, pp. 4311-4322
-
-
Aharon, M.1
Elad, M.2
Bruckstein, A.3
|