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[HTML][HTML] Inverse surrogate model for deterministic structural model updating based on random forest regression
This article presents a novel method for deterministic finite element model updating that is
based on an “inverse surrogate model”. The latter is a regression model that uses structural …
based on an “inverse surrogate model”. The latter is a regression model that uses structural …
A novel wireless IoT sensing system for cable force identification and monitoring
In recent years, the rapid development of Internet of Things (IoT) technology has greatly
advanced research in the field of structural health monitoring. IoT sensors equipped with …
advanced research in the field of structural health monitoring. IoT sensors equipped with …
Reducing false alarms in structural health monitoring systems by exploiting time information via binomial distribution classifier
This paper proposes an approach for anomaly/damage detection via structural health
monitoring (SHM) systems based on a Binomial Distribution Classifier (BDC). The approach …
monitoring (SHM) systems based on a Binomial Distribution Classifier (BDC). The approach …
Virtual baseline to improve anomaly detection of SHM systems with non-stationary data
An approach is proposed to improve anomaly detection of structural health monitoring
systems by constructing “virtual baselines” for structures undergoing non-stationarities due …
systems by constructing “virtual baselines” for structures undergoing non-stationarities due …
SHM data compression and reconstruction based on IGWO-OMP algorithm
L Zhang, J Jia, Y Bai, X Du, P Lin, H Guo - Engineering Structures, 2024 - Elsevier
The long-term operating structural health monitoring (SHM) system generates massive
monitoring data, whose transmission and storage are challenging tasks. To address this …
monitoring data, whose transmission and storage are challenging tasks. To address this …
[HTML][HTML] A demand-capacity approach to define failure thresholds in anomaly detection monitoring systems
This work proposes a procedure to establish the threshold for a structural anomaly detection
system using a supervised computation of the demand-capacity ratio (DCR). A truss …
system using a supervised computation of the demand-capacity ratio (DCR). A truss …
Hit detection in audio mixtures by means of a physics-aware deep-NMF algorithm
E Chinellato, F Marcuzzi - Mechanical Systems and Signal Processing, 2025 - Elsevier
In this paper we present the Physics-Aware Deep-NMF (PAD-NMF) algorithm and we apply
it to hit detection in mechanical systems from audio mixtures. The algorithm accurately …
it to hit detection in mechanical systems from audio mixtures. The algorithm accurately …
Comparing static and dynamic regression models for temperature compensation in vibration-based shm systems
Vibration-based structural health monitoring systems consistently assess the condition of
structures by monitoring their modal parameters. However, the estimated modal parameters …
structures by monitoring their modal parameters. However, the estimated modal parameters …
Prize-Penalty Strategy: An Efficient Constraint Handling Scheme for the Optimal Design of Truss Structures Engaging the Interactive Autodidactic School Optimization …
Abstract The Interactive Autodidactic School (IAS) optimization algorithm is a simple,
effective, and free-parameter metaheuristic algorithm. In this context, the present research …
effective, and free-parameter metaheuristic algorithm. In this context, the present research …
De-mixing variational mode decomposition and its application on operational modal analysis in the presence of closely spaced modes
J Jian, ZR Lu, J Liu, L Wang - Measurement, 2025 - Elsevier
Variational mode decomposition (VMD), and its derivative methods have been
demonstrated to be promising signal decomposition tools and widely utilized in modal …
demonstrated to be promising signal decomposition tools and widely utilized in modal …