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contributor authorZhou, Yuhan
contributor authorLiang, Houhao
contributor authorFoo, Zhen Lin
contributor authorKoh, Yong Zhi
contributor authorYeoh, Justin K. W.
date accessioned2026-08-20T10:40:21Z
date available2026-08-20T10:40:21Z
date copyright2025/10/17
date issued2026
identifier otherJCEMD4.COENG-17031.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4311103
description abstractAbstractRoutine maintenance of construction machinery, such as excavators, is essential for ensuring operational efficiency and reliability. A key component of this process is the daily preoperational check, which traditionally relies on workers’ auditory ...Practical ApplicationsThis study introduces a simple yet powerful method to help construction teams detect machinery problems early—before they lead to costly breakdowns. Currently, workers often rely on what they hear to judge whether a machine, such as ...
publisherAmerican Society of Civil Engineers
titleAudio-Based Excavator Preoperational Checks Using Few-Shot Deep Learning
typeJournal Article
journal volume152
journal issue1
journal titleJournal of Construction Engineering and Management
identifier doi10.1061/JCEMD4.COENG-17031
journal fristpage04025212-1
journal lastpage04025212-14
page14
treeJournal of Construction Engineering and Management:;2026:;Volume ( 152 ):;issue: 001
contenttypeFulltext


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