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¡ß Deng, Y., Ying,
H., E, J., Zhu, H., Wei, K., Chen, J., Zhang, F., and Liao, G., Feature
parameter extraction and intelligent estimation of the State-of-Health of
lithium-ion batteries, Energy, 176, Pages 91-102, 2019.
DOI: http://dx.doi.org/10.1016/j.energy.2019.03.177
¡ß Ma, M., Sun,
C., Zhang, C., and Chen, X., Subspace-based MVE for performance degradation
assessment of aero-engine bearings with multimodal features, Mechanical
systems and signal processing, 124, pp. 298- 312, 2019.
DOI: http://dx.doi.org/10.1016/j.ymssp.2018.12.008
¡ß Soualhi, M.,
Nguyen, K., Soualhi, A., Medjaher, K., and Hemsas, K. E., Health monitoring
of bearing and gear faults by using a new health indicator extracted from
current signals, Measurement, 141, pp. 37-51, 2019.
DOI: http://dx.doi.org/10.1016/j.measurement.2019.03.065
¡ß Wang, H., Ma,
X., and Zhao, Y., An improved Wiener process model with adaptive drift and
diffusion for online remaining useful life prediction, Mechanical systems and
signal processing, 127, pp. 370-387, 2019.
DOI: http://dx.doi.org/10.1016/j.ymssp.2019.03.019
¡ß Nguyen, K.,
and Medjaher, K., A new dynamic predictive maintenance framework using deep
learning for failure prognostics, Reliability engineering & system safety,
188, pp. 251-262, 2019.
DOI: http://dx.doi.org/10.1016/j.ress.2019.03.018
¡ß Chen, K., Laghrouche, S., and Djerdir, A., Fuel cell health
prognosis using Unscented Kalman Filter: Postal fuel cell electric vehicles
case study, International journal of hydrogen energy, 44(3), pp. 1930- 1939,
2019.
DOI: http://dx.doi.org/10.1016/j.ijhydene.2018.11.100
¡ß Liu, Q., Dong, M., Chen, F. F., Lv, W., and Ye, C.,
Single-machine-based joint optimization of predictive maintenance planning
and production scheduling, Robotics and computer-integrated manufacturing 55,
Part B, pp. 173- 182, 2019.
DOI: http://dx.doi.org/10.1016/j.rcim.2018.09.007
¡ß Alian, H., Konforty, S., Ben-Simon, U., Klein, R., Tur, M.,
Bortman, J., Bearing fault detection and fault size estimation using
fiber-optic sensors, Mechanical systems and signal processing, 120, pp.
392-407, 2019.
DOI: http://dx.doi.org/10.1016/j.ymssp.2018.10.035
¡ß Marques, R., Unel, M., Yildiz, M., and Suleman, A., Remaining
useful life prediction of laminated composite materials using Thermoelastic
Stress Analysis, Composite structures, 210, pp. 381-390, 2019.
DOI: http://dx.doi.org/10.1016/j.compstruct.2018.10.047
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