Structural health monitoring by a novel probabilistic machine learning method based on extreme value theory and mixture quantile modeling

Bridge health monitoring in environmental variability by new clustering and threshold estimation methods

(2021) Hassan Sarmadi et al.   Journal of Civil Structural Health Monitoring

Early damage detection by an innovative unsupervised learning method based on kernel null space and peak‐over‐threshold

(2021) Hassan Sarmadi et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

A novel data-driven method for structural health monitoring under ambient vibration and high-dimensional features by robust multidimensional scaling

(2021) Alireza Entezami et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Vectorization and distributed parallelization of Bayesian model updating based on a multivariate complex-valued probabilistic model of frequency response functions

(2021) Wang-Ji Yan et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Investigation of Machine Learning Methods for Structural Safety Assessment under Variability in Data: Comparative Studies and New Approaches

(2021) Hassan Sarmadi   JOURNAL OF PERFORMANCE OF CONSTRUCTED FACILITIES

Structural anomaly detection based on probabilistic distance measures of transmissibility function and statistical threshold selection scheme

(2021) Wang-Ji Yan et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Anomaly detection for large span bridges during operational phase using structural health monitoring data

(2020) Xiang Xu et al.   Smart Materials and Structures

Big Data Analytics and Structural Health Monitoring: A Statistical Pattern Recognition-Based Approach

(2020) Alireza Entezami et al.   SENSORS

Hierarchical Bayesian operational modal analysis: Theory and computations

(2020) Omid Sedehi et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Sparse Bayesian learning for structural damage identification

(2020) Zhao Chen et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Application of supervised learning to validation of damage detection

(2020) Hassan Sarmadi et al.   ARCHIVE OF APPLIED MECHANICS

Extreme value theory for anomaly detection – the GPD classifier

(2020) Edoardo Vignotto et al.   Extremes

Early damage assessment in large-scale structures by innovative statistical pattern recognition methods based on time series modeling and novelty detection

(2020) Alireza Entezami et al.   ADVANCES IN ENGINEERING SOFTWARE

A review of vibration-based damage detection in civil structures: From traditional methods to Machine Learning and Deep Learning applications

(2020) Onur Avci et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A new estimator of Kullback–Leibler information and its application in goodness of fit tests

(2019) Hadi Alizadeh Noughabi   JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION

Improved density peak clustering-based adaptive Gaussian mixture model for damage monitoring in aircraft structures under time-varying conditions

(2019) Lei Qiu et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Data-driven semi-supervised and supervised learning algorithms for health monitoring of pipes

(2019) Debarshi Sen et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Probabilistic active learning: An online framework for structural health monitoring

(2019) L.A. Bull et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Robust damage detection using Bayesian virtual sensors

(2019) Jyrki Kullaa   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A novel anomaly detection method based on adaptive Mahalanobis-squared distance and one-class kNN rule for structural health monitoring under environmental effects

(2019) Hassan Sarmadi et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A comparison of linear approaches to filter out environmental effects in structural health monitoring

(2018) A. Deraemaeker et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Uncertainty quantification and propagation in dynamic models using ambient vibration measurements, application to a 10-story building

(2018) Iman Behmanesh et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Probabilistic hierarchical Bayesian framework for time-domain model updating and robust predictions

(2018) Omid Sedehi et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Data-driven damage diagnosis under environmental and operational variability by novel statistical pattern recognition methods

(2018) Alireza Entezami et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

A Bayesian non-parametric clustering approach for semi-supervised Structural Health Monitoring

(2018) T.J. Rogers et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Structural health monitoring by a new hybrid feature extraction and dynamic time warping methods under ambient vibration and non-stationary signals

(2018) Alireza Entezami et al.   MEASUREMENT

A spectral-based clustering for structural health monitoring of the Sydney Harbour Bridge

(2017) Mehrisadat Makki Alamdari et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Peaks Over Threshold–based detector design for structural health monitoring: Application to aerospace structures

(2017) Marc Rébillat et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

State-of-the-Art Review on the Causes and Mechanisms of Bridge Collapse

(2016) Lu Deng et al.   JOURNAL OF PERFORMANCE OF CONSTRUCTED FACILITIES

Extreme value theory in mixture distributions and a statistical method to control the possible bias

(2016) Wonseon Gwak et al.   Journal of the Korean Statistical Society

On vibration-based damage detection by multivariate statistical techniques: Application to a long-span arch bridge

(2016) Gabriele Comanducci et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

A clustering approach for assessing external corrosion in a buried pipeline based on hidden Markov random field model

(2015) Hui Wang et al.   STRUCTURAL SAFETY

A Bayesian approach based on a Markov-chain Monte Carlo method for damage detection under unknown sources of variability

(2014) Eloi Figueiredo et al.   ENGINEERING STRUCTURES

A review of novelty detection

(2014) Marco A.F. Pimentel et al.   SIGNAL PROCESSING

Field validation of controlled Monte Carlo data generation for statistical damage identification employing Mahalanobis squared distance

(2014) Theanh Nguyen et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Extreme value prediction via a quantile function model

(2013) Yuzhi Cai et al.   COASTAL ENGINEERING

SMC structural health monitoring benchmark problem using monitored data from an actual cable-stayed bridge

(2013) Shunlong Li et al.   Structural Control & Health Monitoring

Impedance based damage detection under varying temperature and loading conditions

(2011) Hyung Jin Lim et al.   NDT & E INTERNATIONAL

Vibration-based structural health monitoring using output-only measurements under changing environment

(2007) A. Deraemaeker et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING