2021/07/26 · Abstract: Cables of cable-stayed bridges are gradually damaged by weather conditions, vehicle loads, and corrosion of materials.

In this section, we analyze the performance of the proposed anomaly detection method utilizing tension data from the actual cable-stayed bridge. In the first ...

We evaluate the proposed technique with cable tension data from an actual cable-stayed bridge. AB - Cables of cable-stayed bridges are gradually damaged by ...

2024/06/04 · To demonstrate the effectiveness of the proposed method, it was applied to actual data obtained from a long-span cable-stayed bridge in China.

2024/04/25 · Deep Learning-Based Anomaly Detection to Classify Inaccurate Data and Damaged Condition of a Cable-Stayed Bridge. IEEE Access 9: 124549 ...

Deep learning-based anomaly detection to classify inaccurate data and damaged condition of a cable-stayed bridge. IEEE Access, 9 (2021), pp. 124549-124559 ...

This paper provides critical investigations of the automated detection of data anomalies using existing deep-learning-based classification in conjunction with ...

Condition assessment of stay cables through enhanced time series classification ... bridge cable; damage detection; deep learning; time series classification

A deep learning technique based on fully convolutional network (FCN) can then be efficiently employed for anomaly classification. The algorithm is validated ...

... Deep Learning-based Anomaly Detection to Classify Inaccurate Data and Damaged Condition of a Cable-stayed Bridge”, IEEE Access, Vol. 9, pp. 124549-124559 ...