Browsing College of Engineering by Subject "Damage detection"
Now showing items 1-19 of 19
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A cost-aware model for risk mitigation in Cloud computing systems
( IEEE Computer Society , 2016 , Conference Paper)Security is an important element in Cloud computing. Intruders may exploit clouds for their advantage. This paper presents a cost-aware model for risk mitigation in cloud computing systems. The proposed model is integrated ... -
A New Benchmark Problem for Structural Damage Detection: Bolt Loosening Tests on a Large-Scale Laboratory Structure
( Springer , 2022 , Conference Paper)Monitoring the structural performance of engineering structures has always been pertinent for maintaining structural health and assessing the life cycle of structures. Structural Health Monitoring (SHM) and Structural ... -
A review of vibration-based damage detection in civil structures: From traditional methods to Machine Learning and Deep Learning applications
( Academic Press , 2021 , Article Review)Monitoring structural damage is extremely important for sustaining and preserving the service life of civil structures. While successful monitoring provides resolute and staunch information on the health, serviceability, ... -
An Overview of Deep Learning Methods Used in Vibration-Based Damage Detection in Civil Engineering
( Springer , 2022 , Conference Paper)This paper presents a brief overview of vibration-based damage identification studies based on Deep Learning (DL) in civil engineering structures. The presence, type, size, and propagation of structural damage on civil ... -
Condition assessment of sewer pipelines using multi attribute utility theory (MAUT)
( International Society for Trenchless Technology , 2016 , Conference Paper)Many municipalities rely on the interpretation of Closed Circuit Television (CCTV) inspection reports to arrive to a condition assessment grade for the inspected sewer pipelines. The grades stand as a key for decision ... -
Convolutional neural networks for real-time and wireless damage detection
( Springer New York LLC , 2020 , Conference Paper)Structural damage detection methods available for structural health monitoring applications are based on data preprocessing, feature extraction, and feature classification. The feature classification task requires considerable ... -
Damage detection using enhanced multivariate statistical process control technique
( Institute of Electrical and Electronics Engineers Inc. , 2017 , Conference Paper)This paper addresses the problem of damage detection technique of structural health monitoring (SHM). Kernel principal components analysis (KPCA)-based generalized likelihood ratio (GLR) technique is developed to enhance ... -
Discrete time domain analysis and optimal design of stationary frame AC current controllers with active damped LCL Filter for high power applications
( IEEE Computer Society , 2014 , Conference Paper)Due to the large variety of renewable power sources, power electronics play an important role in energy conversion. Different power converter topologies are used to interface distributed power generation systems (DPGS) ... -
Dynamic Testing of a Laboratory Stadium Structure
( American Society of Civil Engineers (ASCE) , 2016 , Conference Paper)Studies with large physical models are a vital link between the theoretical work and field applications provided that these models are designed to represent real structures where various types and levels of uncertainties ... -
Efficiency validation of one dimensional convolutional neural networks for structural damage detection using a SHM benchmark data
( International Institute of Acoustics and Vibration, IIAV , 2018 , Conference Paper)In this paper, a novel one dimensional convolution neural network (1D-CNN) based structural damage assessment technique is validated with a benchmark study published by IASC-ASCE Structural Health Monitoring Task Group in ... -
Nonparametric structural damage detection algorithm for ambient vibration response: Utilizing artificial neural networks and self-organizing maps
( American Society of Civil Engineers (ASCE) , 2016 , Article)This study presentes a new nonparametric structural damage detection algorithm that integrates self-organizing maps with a pattern-recognition neural network to quantify and locate structural damage. In this algorithm, ... -
One-Dimensional Convolutional Neural Networks for Real-Time Damage Detection of Rotating Machinery
( Springer , 2022 , Conference Paper)This paper presents a novel real-time rotating machinery damage monitoring system. The system detects, quantifies, and localizes damage in ball bearings in a fast and accurate way using one-dimensional convolutional neural ... -
Progressive image stitching algorithm for vision based automated inspection
( IEEE Computer Society , 2016 , Conference Paper)The increasing number of skyscrapers along with the large number of tall bridges throughout the world also increases the demand of a robust, automated and remotely controlled health monitoring system for civil architectures. ... -
Quantification of structural damage with self-organizing maps
( Springer New York LLC , 2016 , Conference Paper)One of the main tasks in structural health monitoring process is to create reliable algorithms that are capable of translating the measured response into meaningful information reflecting the actual condition of the monitored ... -
Self-organizing maps for structural damage detection: A novel unsupervised vibration-based algorithm
( American Society of Civil Engineers (ASCE) , 2016 , Article)The study presented in this paper is arguably the first study to use a self-organizing map (SOM) for global structural damage detection. A novel unsupervised vibration-based damage detection algorithm is introduced using ... -
Structural Damage Detection in Civil Engineering with Machine Learning: Current State of the Art
( Springer , 2022 , Conference Paper)This paper presents a brief overview of vibration-based structural damage detection studies that are based on machine learning (ML) in civil engineering structures. The review includes both parametric and nonparametric ... -
Structural damage detection in real time: Implementation of 1D convolutional neural networks for SHM applications
( Springer , 2017 , Conference Paper)Most of the classical structural damage detection systems involve two processes, feature extraction and feature classification. Usually, the feature extraction process requires large computational effort which prevent the ... -
Structural health monitoring with self-organizing maps and artificial neural networks
( Springer New York LLC , 2020 , Conference Paper)The use of self-organizing maps and artificial neural networks for structural health monitoring is presented in this paper. The authors recently developed a nonparametric structural damage detection algorithm for extracting ... -
The synthesis of data from instrumented structures and physics-based models via Gaussian processes
( Academic Press Inc. , 2019 , Article)At the heart of structural engineering research is the use of data obtained from physical structures such as bridges, viaducts and buildings. These data can represent how the structure responds to various stimuli over time ...