Sensor networks for structures health monitoring: Placement, implementations, and challenges—A review

S Mustapha, Y Lu, CT Ng, P Malinowski - Vibration, 2021 - mdpi.com
The development of structural health monitoring (SHM) systems and their integration in
actual structures has become a necessity as it can provide a robust and low-cost solution for …

Simulation-based anomaly detection and damage localization: an application to structural health monitoring

C Bigoni, JS Hesthaven - Computer Methods in Applied Mechanics and …, 2020 - Elsevier
We propose a simulation-based decision strategy for the proactive maintenance of complex
structures with a particular application to structural health monitoring (SHM). The strategy is …

Damage diagnosis in bridge structures using rotation influence line: Validation on a cable-stayed bridge

MM Alamdari, K Kildashti, B Samali, HV Goudarzi - Engineering Structures, 2019 - Elsevier
This study proposes a new damage identification technique for condition assessment of
bridge structures. The method is based on the concept of rotation influence line (RIL) at the …

Efficient unsupervised parameter estimation for one-class support vector machines

Z Ghafoori, SM Erfani, S Rajasegarar… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
One-class support vector machines (OCSVMs) are very effective for semisupervised
anomaly detection. However, their performance strongly depends on the settings of their …

Vision and support vector machine–based train classification using weigh-in-motion data

Z Sun, J Santos, E Caetano - Journal of Bridge Engineering, 2022 - ascelibrary.org
Trains with a different number of carriages can induce stress responses with varying
amplitudes in the long-span steel bridges, which consequently cause different levels of …

Smart pothole detection system using vehicle-mounted sensors and machine learning

A Anaissi, NLD Khoa, T Rakotoarivelo… - Journal of Civil …, 2019 - Springer
Road networks are critical assets supporting economies and communities. Despite budget
and time constraints, road authorities strive to maintain them to ensure safety, ongoing …

Application of analytical hierarchy process for structural health monitoring and prioritizing concrete bridges in iran

S Darban, H Ghasemzadeh Tehrani… - Applied Sciences, 2021 - mdpi.com
This paper proposes a method for monitoring the structural health of concrete bridges in
Iran. In this method, the bridge condition index (BCI) of bridges is determined by the …

A tensor-based structural damage identification and severity assessment

A Anaissi, M Makki Alamdari, T Rakotoarivelo… - Sensors, 2018 - mdpi.com
Early damage detection is critical for a large set of global ageing infrastructure. Structural
Health Monitoring systems provide a sensor-based quantitative and objective approach to …

Modifying the Hilbert-Huang transform using the nonlinear entropy-based features for early fault detection of ball bearings

MS Hoseinzadeh, SE Khadem, MS Sadooghi - Applied Acoustics, 2019 - Elsevier
Employing a powerful and adaptive method in time-frequency domain is one of the most
important subjects in the nonlinear and non-stationary signal processing. The main objective …

Frequency domain decomposition‐based multisensor data fusion for assessment of progressive damage in structures

M Makki Alamdari, A Anaissi, NLD Khoa… - … Control and Health …, 2019 - Wiley Online Library
In this paper, we focused on the development and verification of a solid and robust
framework for structural condition assessment of real‐life structures using measured …