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السجلات المعروضة 1 -- 10 من 16
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. ...
Baseline formation for damage diagnosis in a turbine blade
(
Aalborg University
, 2005 , Conference Paper)
In the absence of a baseline for the pre-damaged structures, an attempt is made to create one, analytically, using dimensional analysis and physically using stereolithography. First, a preliminary diagnosis check is performed ...
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 ...
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 ...
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 ...
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) ...
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 ...
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 ...
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 ...