.png){kind=icon}
返回
Data-model interactive prognosis framework for stochastic degrading devices under data-missing condition
.png){kind=icon}
PRE
AI
DOI：10.1016/j.engappai.2026.113899.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
• An interactive prognostic framework is proposed for scenarios with missing data. • An optimal objective function based on the MSE of RUL prediction is established. • The RUL for online devices based on the adaptive Wiener process is derived. • The effectiveness of the proposed method is verified by two case studies.
期刊
IF:
8
论文数:
5.7K
被引数:
3.5W
机构
引用论文
An adaptive prognostics method based on a new health index via data fusion and diffusion process.png)
MEASUREMENT
MEASUREMENTIF5.6
PREAI
分享收藏Remaining useful life estimation - A review on the statistical data driven approaches剩余使用寿命估算 -- 统计数据驱动方法综述
PREAI
分享收藏Adaptive diagnosis and prognosis for Lithium-ion batteries via Lebesgue time model with multiple hidden state variables基于Lebesgue时间模型和多隐状态变量的锂离子电池自适应诊断与预测APPLIED ENERGY
APPLIED ENERGYIF11
PREAI
分享收藏RUL Prediction of Deteriorating Products Using an Adaptive Wiener Process Model基于自适应维纳过程模型的劣化产品RUL预测
PREAI
分享收藏
查看更多内容