| contributor author | Zhou, Yuhan | |
| contributor author | Liang, Houhao | |
| contributor author | Foo, Zhen Lin | |
| contributor author | Koh, Yong Zhi | |
| contributor author | Yeoh, Justin K. W. | |
| date accessioned | 2026-08-20T10:40:21Z | |
| date available | 2026-08-20T10:40:21Z | |
| date copyright | 2025/10/17 | |
| date issued | 2026 | |
| identifier other | JCEMD4.COENG-17031.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4311103 | |
| description abstract | AbstractRoutine 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 ... | |
| publisher | American Society of Civil Engineers | |
| title | Audio-Based Excavator Preoperational Checks Using Few-Shot Deep Learning | |
| type | Journal Article | |
| journal volume | 152 | |
| journal issue | 1 | |
| journal title | Journal of Construction Engineering and Management | |
| identifier doi | 10.1061/JCEMD4.COENG-17031 | |
| journal fristpage | 04025212-1 | |
| journal lastpage | 04025212-14 | |
| page | 14 | |
| tree | Journal of Construction Engineering and Management:;2026:;Volume ( 152 ):;issue: 001 | |
| contenttype | Fulltext | |