Search Results for author: F. Necati Catbas

Found 6 papers, 1 papers with code

Structural State Translation: Condition Transfer between Civil Structures Using Domain-Generalization for Structural Health Monitoring

no code implementations28 Dec 2022 Furkan Luleci, F. Necati Catbas

The study herein introduces a novel framework named Structural State Translation (SST), which aims to estimate the response data of different civil structures based on the information obtained from a dissimilar structure.

Domain Generalization

CycleGAN for Undamaged-to-Damaged Domain Translation for Structural Health Monitoring and Damage Detection

no code implementations16 Feb 2022 Furkan Luleci, F. Necati Catbas, Onur Avci

Particularly, Artificial Intelligence (AI) such as Machine Learning (ML) and Deep Learning (DL) methods for vibration-based damage diagnostics of civil structures has been utilized extensively due to the observed high performances in learning from data.

Translation

Generative Adversarial Networks for Labeled Acceleration Data Augmentation for Structural Damage Detection

no code implementations7 Dec 2021 Furkan Luleci, F. Necati Catbas, Onur Avci

The damage detection results show that the 1-D WDCGAN-GP can be successfully utilized to tackle data scarcity in vibration-based damage detection applications of civil structures.

Data Augmentation

Generative Adversarial Networks for Data Generation in Structural Health Monitoring

no code implementations7 Dec 2021 Furkan Luleci, F. Necati Catbas, Onur Avci

The presented work in this paper shows that for the cases of insufficient data in DL or ML-based damage diagnostics, 1-D WDCGAN-GP can successfully generate data for the model to be trained on.

Generative Adversarial Networks for Labelled Vibration Data Generation

no code implementations7 Dec 2021 Furkan Luleci, F. Necati Catbas, Onur Avci

As Structural Health Monitoring (SHM) being implemented more over the years, the use of operational modal analysis of civil structures has become more significant for the assessment and evaluation of engineering structures.

Artificial Intelligence Assisted Infrastructure Assessment Using Mixed Reality Systems

2 code implementations9 Dec 2018 Enes Karaaslan, Ulas Bagci, F. Necati Catbas

Conventional methods for visual assessment of civil infrastructures have certain limitations, such as subjectivity of the collected data, long inspection time, and high cost of labor.

Management Mixed Reality

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