PEMFC power prediction based on deep auto-encoder and LS-SVMR

Hong, Sheng; Sun, Linlin; Yin, Jiawei; China, Ting Yu; Wang, Yifan; Zhu, Wei

doi:10.1109/icbda.2018.8367714

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Relevant Studies On Rul Prognostics1

Training the Drl Agent1

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Cited by 4 publications

(2 citation statements)

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“…RUL prognostics for electromechanical actuators are obtained using a Gaussian process regression in [7]. RUL prognostics have been developed also for components such as batteries [8,9], and fuel cells [10]. Several studies have developed RUL prognostics for turbofan engines using the C-MAPSS data set [11].…”

Section: Relevant Studies On Rul Prognosticsmentioning

confidence: 99%

See 1 more Smart Citation

Deep reinforcement learning for predictive aircraft maintenance using probabilistic Remaining-Useful-Life prognostics

Lee

Mitici

2023

Reliability Engineering & System Safety

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Section: Relevant Studies On Rul Prognosticsmentioning

confidence: 99%

“…As a reward (cost) model, we assume 𝑐 uns = 2, 𝑐 0 = 1, and 𝑐 1 = 0.01 for the cost parameters defined in Eqs. ( 9)- (10) (see also Fig. 9 for the cost model).…”

Section: Training the Drl Agentmentioning

confidence: 99%