Analysis of Bridge Health Detection Based on Data Fusion
By integrating rough set theory and neural network theory, this study combined their advantages. Drawing on the existing theoretical results for bridge influencing factors, a method for numerical simulation and data fusion was used in the application of multifactor data fusion for cable-stayed bridg...
Main Authors: | Ying Chen, Jiuhong Zhang, Yanfeng Li, Jialong Li |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2022-01-01
|
Series: | Advances in Civil Engineering |
Online Access: | http://dx.doi.org/10.1155/2022/6893160 |
Similar Items
-
Comprehensive Bridge Health Evaluation Method Based on Information Fusion
by: Li Li-ping, et al.
Published: (2016-01-01) -
Safety Assessment of the Main Beams of Historical Buildings Based on Multisource Data Fusion
by: Ying Chen, et al.
Published: (2023-08-01) -
An NSCT-Based Multifrequency GPR Data-Fusion Method for Concealed Damage Detection
by: Junfang Wang, et al.
Published: (2024-08-01) -
Structural Damage Identification Method of Girder Bridges Based on Multilevel Data Fusion Theory
by: Chang-Sheng Xiang, et al.
Published: (2022-01-01) -
Multiclass Anomaly Detection of Bridge Monitoring Data with Data Migration between Different Bridges for Balancing Data
by: Chunxu Qu, et al.
Published: (2023-06-01)