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Chapter and Conference Paper
Structural Damage Detection in Civil Engineering with Machine Learning: Current State of the Art
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 nonp...
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Chapter and Conference Paper
One-Dimensional Convolutional Neural Networks for Real-Time Damage Detection of Rotating Machinery
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 convolu...
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Chapter and Conference Paper
Control of Plate Vibrations with Artificial Neural Networks and Piezoelectricity
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 cantile...
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Chapter and Conference Paper
Vibration Suppression in Metastructures Using Zigzag Inserts Optimized by Genetic Algorithms
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 structur...
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Chapter and Conference Paper
A Comparative Assessment of Nonlinear State Estimation Methods for Structural Health Monitoring
Researchers have been studying the uncertainties unique to civil infrastructure such as redundancy; nonlinearity; interaction with surrounding; heterogeneity; boundaries and support conditions; structural cont...