Show simple item record

contributor authorPei, Guobin
contributor authorLi, Bin
contributor authorZhang, Junhong
contributor authorLin, Jiewei
contributor authorZhuang, Jichao
contributor authorWang, Hui
date accessioned2026-08-20T21:27:08Z
date available2026-08-20T21:27:08Z
date copyright2026/02/19
date issued2026
identifier otherAJRUA6.RUENG-1775.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4314475
description abstractAbstractIn the actual diesel engine engineering scenario, fault data are scarce. Insufficient samples cause the model to over-memorize noise in the training data or details of specific samples rather than learning generalization features, resulting in ...
publisherAmerican Society of Civil Engineers
titleEngine State Prediction Based on a Dynamic Model and Transfer Learning
typeJournal Article
journal volume12
journal issue2
journal titleASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering
identifier doi10.1061/AJRUA6.RUENG-1775
journal fristpage04026008-1
journal lastpage04026008-13
page13
treeASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering:;2026:;Volume ( 012 ):;issue: 002
contenttypeFulltext


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record