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Data-model interactive prognosis framework for stochastic degrading devices under data-missing condition

delete2026-01-31
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PRE
AI
董
董庆 (Qing Dong)
C
Changhua Hu
H
Hong Pei *
J
Jianfei Zheng
J
Jun Shang
D
Dangbo Du
DOI:10.1016/j.engappai.2026.113899delete
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Abstract

Abstract

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.

Journal

Engineering Applications of Artificial Intelligence cover
Engineering Applications of Artificial Intelligence
IF:
8
Papers:
5.7K
Citations:
3.5W

Organization

R
Rocket Force University of Engineering
Scholars:
2.7K
Papers: 1.8K
Citations: 2
T
Tongji University
Scholars:
5.2K
Papers: 2.1K
Citations: 388
Cited Papers

Cited Papers

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A survey on few-shot learning for remaining useful life prediction
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errMo, Renpeng; Zhou, Han; Yin, Hongpeng; Si, Xiaosheng
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