Browsing by Author "Abdeljaber O."
Now showing items 1-18 of 18
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1-D CNNs for structural damage detection: Verification on a structural health monitoring benchmark data
Abdeljaber O.; Avci O.; Kiranyaz M.S.; Boashash B.; Sodano H.; Inman D.J.... more authors ... less authors ( Elsevier B.V. , 2018 , Article)Structural damage detection has been an interdisciplinary area of interest for various engineering fields. While the available damage detection methods have been in the process of adapting machine learning concepts, most ... -
1-D Convolutional Neural Networks for Signal Processing Applications
Kiranyaz, Serkan; Ince, Turker; Abdeljaber, Osama; Avci, Onur; Gabbouj, Moncef ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)1D Convolutional Neural Networks (CNNs) have recently become the state-of-the-art technique for crucial signal processing applications such as patient-specific ECG classification, structural health monitoring, anomaly ... -
1D convolutional neural networks and applications: A survey
Kiranyaz, Mustafa Serkan; Avci O.; Abdeljaber O.; Ince T.; Gabbouj M.; Inman D.J.... more authors ... less authors ( Academic Press , 2021 , Article)During the last decade, Convolutional Neural Networks (CNNs) have become the de facto standard for various Computer Vision and Machine Learning operations. CNNs are feed-forward Artificial Neural Networks (ANNs) with ... -
A New Benchmark Problem for Structural Damage Detection: Bolt Loosening Tests on a Large-Scale Laboratory Structure
Avci O.; Abdeljaber O.; Kiranyaz, Mustafa Serkan; Hussein M.; Gabbouj M.; Inman D.... more authors ... less authors ( 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
Avci O.; Abdeljaber O.; Kiranyaz, Mustafa Serkan; Hussein M.; Gabbouj M.; Inman D.J.... more authors ... less authors ( 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
Avci O.; Abdeljaber O.; Kiranyaz, Mustafa Serkan ( 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 ... -
Control of plate vibrations with artificial neural networks and piezoelectricity
Avci O.; Abdeljaber O.; Kiranyaz, Mustafa Serkan; Inman D. ( Springer New York LLC , 2020 , Conference Paper)This paper presents a method for active vibration control of smart thin cantilever plates. For model formulation needed for controller design and simulations, finite difference technique is used on the cantilever plate ... -
Convolutional neural networks for real-time and wireless damage detection
Avci O.; Abdeljaber O.; Kiranyaz, Mustafa Serkan; Inman D. ( 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 ... -
Efficiency validation of one dimensional convolutional neural networks for structural damage detection using a SHM benchmark data
Avci O.; Abdeljaber O.; Kiranyaz M.S.; Boashash B.; Sodano H.; Inman D.J.... more authors ... less authors ( 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 ... -
Fault detection and severity identification of ball bearings by online condition monitoring
Abdeljaber O.; Sassi S.; Avci O.; Kiranyaz S.; Ibrahim A.A.; Gabbouj M.... more authors ... less authors ( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article)This paper presents a fast, accurate, and simple systematic approach for online condition monitoring and severity identification of ball bearings. This approach utilizes compact one-dimensional (1-D) convolutional neural ... -
Ground-borne vibration investigation by model-ling the tunnel-soil interaction using a finite element package
Aldous K.; Hussein M.; Abdeljaber O. ( International Institute of Acoustics and Vibration, IIAV , 2018 , Conference Paper)In 2013, Qatar Rail announced major rail projects that include an urban rail network for the city of Doha with lines running on the surface and underground which are expected to be in operation by 2020. Railway systems are ... -
In-service video-vibration monitoring for identification of walking patterns in an office floor
Abdeljaber O.; Hussein M.; Avci O. ( International Institute of Acoustics and Vibration, IIAV , 2018 , Conference Paper)Footfall-induced vibrations in office floors can create significant problems for the occupants and facility owners. Such vibrations cannot be modeled by traditional load models since the vibration response of a floor depends ... -
Novel Framework for Vibration Serviceability Assessment of Stadium Grandstands Considering Durations of Vibrations
Do N.T.; Gul M.; Abdeljaber O.; Avci O. ( American Society of Civil Engineers (ASCE) , 2018 , Article)Annoying vibrations in grandstand structures have been receiving more attention due to the increasing slenderness of the architectural components and the complexity of the crowd loading for engineers. The vibration ... -
One-Dimensional Convolutional Neural Networks for Real-Time Damage Detection of Rotating Machinery
Avci O.; Abdeljaber O.; Kiranyaz, Mustafa Serkan; Sassi S.; Ibrahim A.; Gabbouj M.... more authors ... less authors ( 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 ... -
Structural Damage Detection in Civil Engineering with Machine Learning: Current State of the Art
Avci O.; Abdeljaber O.; Kiranyaz, Mustafa Serkan ( 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
Avci O.; Abdeljaber O.; Kiranyaz, Mustafa Serkan; Inman D. ( 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
Avci O.; Abdeljaber O.; Kiranyaz, Mustafa Serkan; Inman D. ( 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 ... -
Vibration suppression in metastructures using zigzag inserts optimized by genetic algorithms
Avci O.; Abdeljaber O.; Kiranyaz, Mustafa Serkan; Inman D. ( Springer New York LLC , 2017 , Conference Paper)Metastructures are known to provide considerable vibration attenuation for mechanical systems. With the optimization of the internal geometry of metastructures, the suppression performance of the host structure increases. ...