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Long-term structural health monitoring for bridge based on back propagation neural network and long and short-term memory

Structural Health Monitoring, 2022
Bridges are critical components of transportation infrastructure. To ensure the long-term performance of bridges and the safety of the public, regular inspections are required during their service.
Shengang Li   +6 more
semanticscholar   +1 more source

Recent progress in aircraft smart skin for structural health monitoring

Structural Health Monitoring, 2021
Through the integration of advanced sensors, actuators, and micro-processors, aircraft smart skin technology can improve the structural performance of aircraft and make them self-perception, self-diagnosis, self-adaptation, self-learning, and self-repair.
Yu Wang   +4 more
semanticscholar   +1 more source

Structural Health Monitoring

2011
<P>Structural health is a vital aspect of infrastructure sustainability. As a part of a vital infrastructure and transportation network, bridge structures must function safely at all times. However, due to heavier and faster moving vehicular loads and function adjustment, such as Busway accommodation, many bridges are now operating at an overload
Wang, Frank   +3 more
openaire   +1 more source

Review of Bridge Structural Health Monitoring Aided by Big Data and Artificial Intelligence: From Condition Assessment to Damage Detection

Journal of Structural Engineering, 2020
Structural health monitoring (SHM) techniques have been widely used in long-span bridges.
Limin Sun   +4 more
semanticscholar   +1 more source

Cloud-Based Digital Twinning for Structural Health Monitoring Using Deep Learning

IEEE Transactions on Industrial Informatics, 2021
Digital twin (DT) technology has recently gathered pace in the engineering communities as it allows for the convergence of the real structure and its digital counterpart throughout their entire life-cycle.
Hung V. Dang, M. Tatipamula, H. Nguyen
semanticscholar   +1 more source

Machine learning paradigm for structural health monitoring

Structural Health Monitoring, 2020
Structural health diagnosis and prognosis is the goal of structural health monitoring. Vibration-based structural health monitoring methodology has been extensively investigated.
Y. Bao, Hui Li
semanticscholar   +1 more source

Toward data anomaly detection for automated structural health monitoring: Exploiting generative adversarial nets and autoencoders

Structural Health Monitoring, 2020
Damage detection is one of the most important tasks for structural health monitoring of civil infrastructure. Before a damage detection algorithm can be applied, the integrity of the data must be ensured; otherwise results may be misleading or incorrect.
J. Mao, Hongya Wang, B. Spencer
semanticscholar   +1 more source

Lost data reconstruction for structural health monitoring using deep convolutional generative adversarial networks

Structural Health Monitoring, 2020
In the application of structural health monitoring, the measured data might be temporarily or permanently lost due to sensor fault or transmission failure.
Xiao-Jun Lei, Limin Sun, Ye Xia
semanticscholar   +1 more source

Structural health monitoring

2015
Structural health monitoring (SHM) is the integration of a sensory system, a data acquisition system, a data processing and archiving system, a communication system, a damage detection system and a modeling system to acquire knowledge about the integrity and load-worthiness of in-service structures on either a temporary or continuous basis.
Brandt, Heike, Langner, Ramona
openaire   +2 more sources

Sensors for Structural Health Monitoring: A Review

2019 Second International Conference on Latest trends in Electrical Engineering and Computing Technologies (INTELLECT), 2019
This paper provides a review on the modern-day electronic techniques employed to monitor the structural life expectancy of civil and mechanical structures. The methods implemented to identify and analyze an anomaly resulting in a damage in a particular structure, mainly mechanical or civil based is referred to as structure health monitoring.
Zain Hussain Warsi   +5 more
openaire   +1 more source

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