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Probabilistic deep learning methodology for uncertainty quantification of remaining useful lifetime of multi-component systems
For dealing with uncertainty in Remaining Useful Life (RUL) predictions, numerous studies
in literature use stochastic models to characterize the degradation process and predict the …
in literature use stochastic models to characterize the degradation process and predict the …
System-level failure prognostics: Literature review and main challenges
This paper reviews methods and practices for addressing the concepts of system-level
prognostics (SLP) and system remaining useful life (SRUL) estimation applied to …
prognostics (SLP) and system remaining useful life (SRUL) estimation applied to …
[PDF][PDF] 基于优化长短期记忆神经网络的 IGBT 寿命预测模型
任宏宇, 余瑶怡, 杜雄, 刘俊良, 周君洁 - 电工技术学报, 2024 - dgjsxb.ces-transaction.com
摘要为了防止绝缘栅双极型晶体管(IGBT) 突发性失效而影响电力电子设备安全可靠运行,
急需对IGBT 剩余寿命做出精确预测, 这对现有预测模型在高准确性和低不确定性方面提出了 …
急需对IGBT 剩余寿命做出精确预测, 这对现有预测模型在高准确性和低不确定性方面提出了 …