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Year | Number of Results |
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2016 | 1 |
2017 | 3 |
2018 | 2 |
2024 | 0 |
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Page 1
A Reliable Health Indicator for Fault Prognosis of Bearings.
Sensors (Basel). 2018 Nov 2;18(11):3740. doi: 10.3390/s18113740.
Sensors (Basel). 2018.
PMID: 30400203
Free PMC article.
Estimating the remaining useful life of bearings using a neuro-local linear estimator-based method.
Ahmad W, Ali Khan S, Kim JM.
Ahmad W, et al. Among authors: ali khan s.
J Acoust Soc Am. 2017 May;141(5):EL452. doi: 10.1121/1.4983341.
J Acoust Soc Am. 2017.
PMID: 28599528
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Diagnosis of bearing defects under variable speed conditions using energy distribution maps of acoustic emission spectra and convolutional neural networks.
Tra V, Khan SA, Kim JM.
Tra V, et al. Among authors: khan sa.
J Acoust Soc Am. 2018 Oct;144(4):EL322. doi: 10.1121/1.5065071.
J Acoust Soc Am. 2018.
PMID: 30404477
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Incipient fault diagnosis in bearings under variable speed conditions using multiresolution analysis and a weighted committee machine.
Tra V, Kim J, Khan SA, Kim JM.
Tra V, et al. Among authors: khan sa.
J Acoust Soc Am. 2017 Jul;142(1):EL35. doi: 10.1121/1.4991329.
J Acoust Soc Am. 2017.
PMID: 28764477
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Bearing Fault Diagnosis under Variable Speed Using Convolutional Neural Networks and the Stochastic Diagonal Levenberg-Marquardt Algorithm.
Tra V, Kim J, Khan SA, Kim JM.
Tra V, et al. Among authors: khan sa.
Sensors (Basel). 2017 Dec 6;17(12):2834. doi: 10.3390/s17122834.
Sensors (Basel). 2017.
PMID: 29211025
Free PMC article.
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Rotational speed invariant fault diagnosis in bearings using vibration signal imaging and local binary patterns.
Khan SA, Kim JM.
Khan SA, et al.
J Acoust Soc Am. 2016 Apr;139(4):EL100. doi: 10.1121/1.4945818.
J Acoust Soc Am. 2016.
PMID: 27106344
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