Electronics Optics & Control, Volume. 30, Issue 7, 111(2023)
Remaining Useful Life Prediction for Multi-state Switching Random Degradation Equipment
[3] [3] YE Z S,XIE M.Stochastic modelling and analysis of degradation for highly reliable products[J].Applied Stochastic Models in Business and Industry,2015,31(1):16-32.
[11] [11] WANG P,TANG Y,BAE S J,et al.Bayesian analysis of two-phase degradation data based on change-point Wiener process[J].Reliability Engineering & System Safety, 2018,170:244-256.
[12] [12] ZHANG J X,HU C H,HE X,et al.A novel lifetime estimation method for two-phase degrading systems[J].IEEE Transactions on Reliability,2019,68(2):689-709.
[13] [13] LI N P,GEBRAEEL N,LEI Y G,et al.Remaining useful life prediction of machinery under time-varying operating conditions based on a two-factor state-space model[J].Reliability Engineering & System Safety,2019,186:88-100.
[14] [14] ZHANG Z X,SI X S,HU C H,et al.A prognostic model for stochastic degrading systems with state recovery:application to li-ion batteries[J].IEEE Transactions on Reliability,2017,66(4):1293-1308.
[15] [15] SI X S,WANG W,HU C H,et al.Remaining useful life estimation-a review on the statistical data driven approaches[J].European Journal of Operational Research, 2011,213(1):1-14.
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XING Yuanxing, ZHANG Jianxun, MAN Qian, HU Changhua, DU Dangbo, PEI Hong. Remaining Useful Life Prediction for Multi-state Switching Random Degradation Equipment[J]. Electronics Optics & Control, 2023, 30(7): 111
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Received: Jun. 28, 2022
Accepted: --
Published Online: Nov. 29, 2023
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