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contributor authorDeng, Jiewei
contributor authorWen, Guangrui
contributor authorLei, Zihao
contributor authorXu, Quanning
contributor authorSu, Yu
contributor authorZhang, Zhifen
date accessioned2026-08-20T21:28:15Z
date available2026-08-20T21:28:15Z
date copyright2025/12/31
date issued2026
identifier otherAJRUA6.RUENG-1786.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314508
description abstractAbstractAccurate prediction of the remaining useful life (RUL) for rolling bearings was essential to ensure the operational reliability and safety of complex industrial equipment. However, the lack of high-quality life-cycle data in industry impeded the ...
publisherAmerican Society of Civil Engineers
titleA Digital Twin of Life-Cycle Bearing Based on a Defect-Guided Conditional Diffusion Model for Predicting Remaining Life under Limited Degradation Data
typeJournal Article
journal volume12
journal issue1
journal titleASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
identifier doi10.1061/AJRUA6.RUENG-1786
journal fristpage04025114-1
journal lastpage04025114-16
page16
treeASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2026:;Volume ( 012 ):;issue: 001
contenttypeFulltext


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