State-of-the-art review on advancements of data mining in structural health monitoring
To date, data mining (DM) techniques, ie artificial intelligence, machine learning, and
statistical methods have been utilized in a remarkable number of structural health monitoring …
statistical methods have been utilized in a remarkable number of structural health monitoring …
Review of machine-learning techniques applied to structural health monitoring systems for building and bridge structures
A Gomez-Cabrera, PJ Escamilla-Ambrosio - Applied Sciences, 2022 - mdpi.com
This review identifies current machine-learning algorithms implemented in building
structural health monitoring systems and their success in determining the level of damage in …
structural health monitoring systems and their success in determining the level of damage in …
Review of bridge structural health monitoring aided by big data and artificial intelligence: From condition assessment to damage detection
Structural health monitoring (SHM) techniques have been widely used in long-span bridges.
However, due to limitations of computational ability and data analysis methods, the …
However, due to limitations of computational ability and data analysis methods, the …
CNN and Convolutional Autoencoder (CAE) based real-time sensor fault detection, localization, and correction
Increasing advances in sensing technologies and analytics have led to the proliferation of
sensors to monitor structural and infrastructural systems. Accurate sensor data can provide …
sensors to monitor structural and infrastructural systems. Accurate sensor data can provide …
Computer vision and deep learning–based data anomaly detection method for structural health monitoring
The widespread application of sophisticated structural health monitoring systems in civil
infrastructures produces a large volume of data. As a result, the analysis and mining of …
infrastructures produces a large volume of data. As a result, the analysis and mining of …
Convolutional neural network‐based data anomaly detection method using multiple information for structural health monitoring
Structural health monitoring (SHM) is used worldwide for managing and maintaining civil
infrastructures. SHM systems have produced huge amounts of data, but the effective …
infrastructures. SHM systems have produced huge amounts of data, but the effective …
Development of sensor validation methodologies for structural health monitoring: A comprehensive review
TH Yi, HB Huang, HN Li - Measurement, 2017 - Elsevier
Sensor faults, which occur when sensor outputs display unacceptable deviations from the
true values of measured variable, will cause false alarms and missed detections in structural …
true values of measured variable, will cause false alarms and missed detections in structural …
[HTML][HTML] A review of ultrasonic sensing and machine learning methods to monitor industrial processes
Supervised machine learning techniques are increasingly being combined with ultrasonic
sensor measurements owing to their strong performance. These techniques also offer …
sensor measurements owing to their strong performance. These techniques also offer …
MOVA/MOSS: Two integrated software solutions for comprehensive Structural Health Monitoring of structures
E García-Macías, F Ubertini - Mechanical Systems and Signal Processing, 2020 - Elsevier
Recent ground-breaking advances in sensing technologies, data processing, and structural
identification have made Structural Health Monitoring (SHM) occupy a central place in …
identification have made Structural Health Monitoring (SHM) occupy a central place in …
Structural damage detection based on l1 regularization using natural frequencies and mode shapes
Conventional vibration‐based damage detection methods employ the Tikhonov
regularization in model updating to deal with the problems of underdeterminacy and …
regularization in model updating to deal with the problems of underdeterminacy and …