Toward data anomaly detection for automated structural health monitoring: Exploiting generative adversarial nets and autoencoders
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 …
infrastructure. Before a damage detection algorithm can be applied, the integrity of the data …
Transfer learning-based data anomaly detection for structural health monitoring
Q Pan, Y Bao, H Li - Structural Health Monitoring, 2023 - journals.sagepub.com
The structural health monitoring (SHM) data of civil infrastructure are inevitably
contaminated due to sensor faults, environmental noise interference, and data transmission …
contaminated due to sensor faults, environmental noise interference, and data transmission …
Machine learning-assisted, process-based quality control for detecting compromised environmental sensors
JQ Schmidt, B Kerkez - Environmental Science & Technology, 2023 - ACS Publications
Machine learning (ML) techniques promise to revolutionize environmental research and
management, but collecting the necessary volumes of high-quality data remains …
management, but collecting the necessary volumes of high-quality data remains …
[HTML][HTML] SensorTalk: An IoT device failure detection and calibration mechanism for smart farming
YB Lin, YW Lin, JY Lin, HN Hung - Sensors, 2019 - mdpi.com
In an Internet of Things (IoT) system, it is essential that the data measured from the sensors
are accurate so that the produced results are meaningful. For example, in AgriTalk, a smart …
are accurate so that the produced results are meaningful. For example, in AgriTalk, a smart …
[HTML][HTML] Handling complete short-term data logging failure in smart buildings: Machine learning based forecasting pipelines with sliding-window training scheme
This paper implements a machine learning (ML)-based procedure for constructing the
missing sensor (s) data in a net zero energy building in case of complete failure in data …
missing sensor (s) data in a net zero energy building in case of complete failure in data …
Safety and reliability evaluations of bridge behaviors under ambient truck loads through structural health monitoring and identification model approaches
MR Kaloop, M Eldiasty, JW Hu - Measurement, 2022 - Elsevier
Abstract Evaluation and modeling of structures behavior over their service life are crucial
parameters for construction safety. This research investigates the use of output-only …
parameters for construction safety. This research investigates the use of output-only …
Data anomaly detection for bridge SHM based on CNN combined with statistic features
H Zhang, J Lin, J Hua, F Gao, T Tong - Journal of Nondestructive …, 2022 - Springer
Structural health monitoring of long-span bridge has received increasing attention in recent
years. In order to achieve accurate monitoring, the integrity of data collection should be …
years. In order to achieve accurate monitoring, the integrity of data collection should be …
Robust sensor suite combined with predictive analytics enabled anomaly detection model for smart monitoring of concrete sewer pipe surface moisture conditions
K Thiyagarajan, S Kodagoda… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
Globally, the water industry considers microbial induced corrosion of concrete sewer pipes
as a serious problem. There are reported analytical models and data analytic models that …
as a serious problem. There are reported analytical models and data analytic models that …
Sensor failure detection and faulty data accommodation approach for instrumented wastewater infrastructures
In wastewater industry, real-time sensing of surface temperature variations on concrete
sewer pipes is paramount in assessing the rate of microbial-induced corrosion. However …
sewer pipes is paramount in assessing the rate of microbial-induced corrosion. However …
[HTML][HTML] Multimodal deep neural network-based sensor data anomaly diagnosis method for structural health monitoring
X Nong, X Luo, S Lin, Y Ruan, X Ye - Buildings, 2023 - mdpi.com
Due to sensor failure, noise interference and other factors, the data collected in the structural
health monitoring (SHM) system will show a variety of abnormal patterns, which will bring …
health monitoring (SHM) system will show a variety of abnormal patterns, which will bring …