Automatic pipeline fault detection using one-dimensional convolutional bidirectional long short-term memory networks with wide first-layer kernels
| Author(s): |
Longguang Peng
(School of Urban Construction, Yangtze University, Jingzhou, China)
Wenjie Huang (School of Urban Construction, Yangtze University, Jingzhou, China) Guofeng Du (School of Urban Construction, Yangtze University, Jingzhou, China) Yuanqi Li (College of Civil Engineering, Tongji University, Shanghai, China) Qiqi Xu 
(School of Resources and Environmental Engineering, Wuhan University of Science and Technology, Wuhan, China)
Kai Zhou (School of Urban Construction, Yangtze University, Jingzhou, China) Jicheng Zhang
(School of Urban Construction, Yangtze University, Jingzhou, China)
|
|---|---|
| Medium: | journal article |
| Language(s): | English |
| Published in: | Structural Health Monitoring, February 2024, n. 6, v. 23 |
| Page(s): | 3832-3849 |
| DOI: | 10.1177/14759217241227995 |
- About this
data sheet - Reference-ID
10775635 - Published on:
29/04/2024 - Last updated on:
10/11/2024
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