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Spectral Jump Anomaly Detection: A Temperature-Compensated Algorithm for Structural Damage Detection Based on Vibration Data
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Introduction to Operational Modal Analysis
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Damage detection under varying temperature using artificial neural networks
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Vibration Problems in Structures
inferredcites →https://doi.org/10.1007/978-3-319-90403-0_20openalex-extracted
Structural Health Monitoring Using Machine Learning Techniques and Domain Knowledge Based Features
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A Competitive Measure to Assess the Similarity between Two Time Series
inferredcites →https://doi.org/10.1007/s13349-020-00444-xopenalex-extracted
Structural health monitoring research under varying temperature condition: a review
inferredcites →https://doi.org/10.1007/s13349-022-00596-yopenalex-extracted
Partially online damage detection using long-term modal data under severe environmental effects by unsupervised feature selection and local metric learning
inferredcites →https://doi.org/10.1016/j.autcon.2020.103283openalex-extracted
Concrete bridge damage detection using parallel simulation
inferredcites →https://doi.org/10.1016/j.autcon.2021.103976openalex-extracted
Layout-aware Extreme Learning Machine to Detect Tendon Malfunctions in Prestressed Concrete Bridges using Stress Data
inferredcites →https://doi.org/10.1016/j.autcon.2022.104271openalex-extracted
Localization and classification of structural damage using deep learning single-channel signal-based measurement
inferredcites →https://doi.org/10.1016/j.engstruct.2006.07.024openalex-extracted
Vibration-based damage monitoring in model plate-girder bridges under uncertain temperature conditions
inferredcites →https://doi.org/10.1016/j.engstruct.2010.06.016openalex-extracted
Damping mechanisms and damping ratios in vibrating unreinforced stone masonry
inferredcites →https://doi.org/10.1016/j.engstruct.2022.114677openalex-extracted
Structural damage detection using low-rank matrix approximation and cointegration analysis
inferredcites →https://doi.org/10.1016/j.engstruct.2023.115616openalex-extracted
Long-term health monitoring of concrete and steel bridges under large and missing data by unsupervised meta learning
inferredcites →https://doi.org/10.1016/j.jsv.2015.02.039openalex-extracted
On robust regression analysis as a means of exploring environmental and operational conditions for SHM data
inferredcites →https://doi.org/10.1016/j.ymssp.2021.108009openalex-extracted
Structural anomaly detection based on probabilistic distance measures of transmissibility function and statistical threshold selection scheme
inferredcites →https://doi.org/10.1061/(asce)be.1943-5592.0001668openalex-extracted
Monitoring Railway Bridge KW51 Before, During, and After Retrofitting
inferredcites →https://doi.org/10.1080/17445302.2018.1558727openalex-extracted
A residual strain energy based damage localisation method for offshore platforms under environmental variations
inferredcites →https://doi.org/10.1088/1361-665x/aa550aopenalex-extracted
Structural damage identification using damping: a compendium of uses and features
inferredcites →https://doi.org/10.1088/1757-899x/962/2/022063openalex-extracted
The effect of energy dissipation on the dynamic response of reinforced concrete structure
inferredcites →https://doi.org/10.1098/rspa.2007.1834openalex-extracted
The fundamental axioms of structural health monitoring
inferredcites →https://doi.org/10.1098/rsta.2006.1925openalex-extracted
Structural health monitoring of civil infrastructure
inferredcites →https://doi.org/10.1098/rsta.2006.1935openalex-extracted
Effects of environmental and operational variability on structural health monitoring
inferredcites →https://doi.org/10.1155/2010/429148openalex-extracted
Structural Health Monitoring Using High-Frequency Electromechanical Impedance Signatures
inferredcites →https://doi.org/10.1177/1475921713498530openalex-extracted
Data-driven multivariate algorithms for damage detection and identification: Evaluation and comparison
inferredcites →https://doi.org/10.1177/1475921720924320openalex-extracted
The influence of frequency content on the performance of artificial neural network–based damage detection systems tested on numerical and experimental bridge data
inferredcites →https://doi.org/10.1214/09-ss051openalex-extracted
Wilcoxon-Mann-Whitney or t-test? On assumptions for hypothesis tests and multiple interpretations of decision rules
inferredcites →https://doi.org/10.12989/sss.2019.24.5.567openalex-extracted
A review on deep learning-based structural health monitoring of civil infrastructures
inferredcites →https://doi.org/10.2131/jts.35.57openalex-extracted
Lack of modifying effects of prepubertal exposure to acrylamide (AA) on N-methyl-N-nitrosourea (MNU)-induced multi-organ carcinogenesis in F344 rats
inferredcites →https://doi.org/10.2478/v10178-011-0051-yopenalex-extracted
Frequency and Damping Estimation Methods - An Overview
inferredcites →https://doi.org/10.3390/app7050510openalex-extracted
A State of the Art Review of Modal-Based Damage Detection in Bridges: Development, Challenges, and Solutions
inferredcites →https://doi.org/10.3390/s20102778openalex-extracted
Data-Driven Structural Health Monitoring and Damage Detection through Deep Learning: State-of-the-Art Review
inferredcites →https://doi.org/10.3390/s22010306openalex-extracted
Damage Detection and Localization under Variable Environmental Conditions Using Compressed and Reconstructed Bayesian Virtual Sensor Data
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