Abnormal Data Recovery of Structural Health Monitoring for Ancient City Wall Using Deep Learning Neural Network-Reference-Cited by-同舟云学术

Abnormal Data Recovery of Structural Health Monitoring for Ancient City Wall Using Deep Learning Neural Network

Published:2022-12-12 Issue: Volume: Page:1-19
ISSN:1558-3058
Container-title:International Journal of Architectural Heritage
language:en
Short-container-title:International Journal of Architectural Heritage

Author:

Deng Yang¹^ORCID,Ju Hanwen¹^ORCID,Li Yuhang²^ORCID,Hu Yungang¹,Li Aiqun¹²

Affiliation:

1. Beijing Advanced Innovation Center for Future Urban Design, Beijing Key Laboratory of Functional Materials for Building Structure and Environment Remediation, Beijing University of Civil Engineering and Architecture, Beijing, China

2. School of Civil Engineering, Southeast University, Nanjing, China

Funder

the National Key R & D Program of China

National Natural Science Foundation of China

Beijing Municipal Education Commission

Fundamental Research Funds for Beijing University of Civil Engineering and Architecture

Publisher

Informa UK Limited

Subject

Visual Arts and Performing Arts,Architecture,Conservation

Link

https://www.tandfonline.com/doi/pdf/10.1080/15583058.2022.2153234

Reference37 articles.

1. Computer vision and deep learning–based data anomaly detection method for structural health monitoring

2. Wireless Sensor Networks for Continuous Structural Health Monitoring of Historic Masonry Towers

3. Failure modes classification and failure mechanism research of ancient city wall

4. Baseline Correction of Acceleration Data Based on a Hybrid EMD–DNN Method

5. Sequence-based modeling of deep learning with LSTM and GRU networks for structural damage detection of floating offshore wind turbine blades

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Automatic Modal Frequency Identification of Bridge Cables under Influence of Abnormal Monitoring Data;Journal of Performance of Constructed Facilities;2024-12

2. Predicting Structural Temperature of Ancient City Walls: A Case Study Using Ambient Temperature and Deep Learning;International Journal of Architectural Heritage;2024-07-17

3. An accurate and low-cost vehicle-induced deflection prediction framework for long-span bridges using deep learning and monitoring data;Engineering Structures;2024-07

4. In-situ graft fibrous PPy@PEI enables sensitive and all-seasoned crack monitoring for ancient architectures based on flexible pressure sensors;Chemical Engineering Journal;2024-07

5. Missing measurement data recovery methods in structural health monitoring: The state, challenges and case study;Measurement;2024-05