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Newsletter 7호 국내외 최신 대표 논문
u Kim, S., Kim, N.H. and Choi,
J.H., Prediction of remaining useful life by data augmentation technique
based on dynamic time warping. Mechanical Systems and Signal Processing, 136,
p.106486, 2020.
DOI: https://doi.org/10.1016/j.ymssp.2019.106486
u Pan, Y., Hong, R., Chen, J. and
Wu, W., A hybrid DBN-SOM-PF-based prognostic approach of remaining useful
life for wind turbine gearbox. Renewable Energy, 152, pp.138-154, 2020.
DOI: https://doi.org/10.1016/j.renene.2020.01.042
u Atamuradov, V., Medjaher, K.,
Camci, F., Zerhouni, N., Dersin, P. and Lamoureux, B., Machine Health
Indicator Construction Framework for Failure Diagnostics and Prognostics.
Journal of Signal Processing Systems, pp.1-19, 2020.
DOI: https://doi.org/10.1007/s11265-019-01491-4
u Verstraete, D., Droguett, E. and
Modarres, M., A Deep Adversarial Approach Based on Multi-Sensor Fusion for
Semi-Supervised Remaining Useful Life Prognostics. Sensors, 20(1), p.176,
2020.
DOI: https://doi.org/10.3390/s20010176
u Li, R., Verhagen, W.J. and
Curran, R., A systematic methodology for Prognostic and Health Management
system architecture definition. Reliability Engineering & System Safety,
193, p.106598, 2020.
DOI: https://doi.org/10.1016/j.ress.2019.106598
u da Costa, P.R.D.O., Akçay, A.,
Zhang, Y. and Kaymak, U., Remaining useful lifetime prediction via deep
domain adaptation. Reliability Engineering & System Safety, 195, p.106682,
2020.
DOI: https://doi.org/10.1016/j.ress.2019.106682
u Wang, J., Liang, Y., Zheng, Y.,
Gao, R.X. and Zhang, F., An integrated fault diagnosis and prognosis approach
for predictive maintenance of wind turbine bearing with limited samples.
Renewable Energy, 145, pp.642-650, 2020.
DOI: https://doi.org/10.1016/j.renene.2019.06.103
u Peeters, C., Antoni, J. and
Helsen, J., Blind filters based on envelope spectrum sparsity indicators for bearing
and gear vibration-based condition monitoring. Mechanical Systems and Signal
Processing, 138, p.106556, 2020.
DOI: https://doi.org/10.1016/j.ymssp.2019.106556
u Kane, P.V. and Andhare, A.B.,
Critical evaluation and comparison of psychoacoustics, acoustics and
vibration features for gear fault correlation and classification.
Measurement, p.107495, 2020.
DOI: https://doi.org/10.1016/j.measurement.2020.107495
u Duan, C., Makis, V. and Deng,
C., A two-level Bayesian early fault detection for mechanical equipment
subject to dependent failure modes. Reliability Engineering & System
Safety, 193, p.106676, 2020.
DOI: https://doi.org/10.1016/j.ress.2019.106676
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