| contributor author | Zhang, Ye | |
| contributor author | Yuan, Simin | |
| contributor author | Li, Yanlong | |
| contributor author | Li, Kangping | |
| contributor author | Zhou, Heng | |
| contributor author | Sun, Kaiyu | |
| date accessioned | 2026-08-20T21:24:48Z | |
| date available | 2026-08-20T21:24:48Z | |
| date copyright | 2026/01/31 | |
| date issued | 2026 | |
| identifier other | JCCEE5.CPENG-6666.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4314411 | |
| description abstract | AbstractWire breakage is the predominant cause of failure in prestressed concrete cylinder
pipe (PCCP) within water diversion and transfer projects. This paper employs deep
learning models to extract signal features and identify wire breakage types. A ... | |
| publisher | American Society of Civil Engineers | |
| title | An Intelligent Method for Identifying and Analyzing PCCP Wire-Break Signals Based on Prototype Testing and an Ensemble Deep Learning Model | |
| type | Journal Article | |
| journal volume | 40 | |
| journal issue | 3 | |
| journal title | Journal of Computing in Civil Engineering | |
| identifier doi | 10.1061/JCCEE5.CPENG-6666 | |
| journal fristpage | 04026014-1 | |
| journal lastpage | 04026014-18 | |
| page | 18 | |
| tree | Journal of Computing in Civil Engineering:;2026:;Volume ( 040 ):;issue: 003 | |
| contenttype | Fulltext | |
