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Title: Damage detection and localization in sealed spent nuclear fuel dry storage canisters using multi-task machine learning classifiers

Journal Article · · Reliability Engineering and System Safety

Not Available

Sponsoring Organization:
USDOE
Grant/Contract Number:
NE0009171
OSTI ID:
2437853
Journal Information:
Reliability Engineering and System Safety, Journal Name: Reliability Engineering and System Safety Journal Issue: C Vol. 252; ISSN 0951-8320
Publisher:
ElsevierCopyright Statement
Country of Publication:
United Kingdom
Language:
English

References (28)

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Damage identification in aircraft structures with self‐powered sensing technology: A machine learning approach journal September 2018
Structural damage detection using principal component analysis of frequency response function data journal March 2020
Damage identification in civil engineering structures utilizing PCA-compressed residual frequency response functions and neural network ensembles journal March 2011
One-Class Convolutional Neural Network (OC-CNN) Model for Rapid Bridge Damage Detection Using Bridge Response Data journal February 2023
Dynamic analysis of dry storage canister and the spent fuels inside under vertical drop in HTR-PM journal May 2021
Damage detection of spent nuclear fuel canisters using frequency response functions journal June 2023
Machine learning-aided damage identification of mock-up spent nuclear fuel assemblies in a sealed dry storage canister journal February 2024
Nonlinear dynamic impact analysis for installing a dry storage canister into a vertical concrete cask journal July 2015
A rapid machine learning-based damage detection algorithm for identifying the extent of damage in concrete shear-wall buildings journal January 2023
Analysis of the maximum likelihood, total least squares and principal component approaches for frequency response function estimation journal March 2006
Real-time vibration-based structural damage detection using one-dimensional convolutional neural networks journal February 2017
Impurity gas monitoring using ultrasonic sensing and neural networks: forward and inverse problems journal December 2023
Inspection of nuclear assets with limited access using Feature Guided Waves journal October 2022
Acoustic emission characteristics of stress corrosion cracks in a type 304 stainless steel tube journal June 2015
Automated detection of corrosion in used nuclear fuel dry storage canisters using residual neural networks journal February 2021
Dynamic structural response of reinforced concrete dry storage casks subjected to impact considering material degradation journal December 2017
An integrated probabilistic risk assessment methodology for maritime transportation of spent nuclear fuel based on event tree and hydrodynamic model journal November 2022
A comprehensive study on developing an intelligent framework for identification and quantitative evaluation of the bearing defect size journal February 2024
Substructural damage detection using frequency response function based inverse dynamic substructuring journal January 2022
Damage localization using acoustic emission sensors via convolutional neural network and continuous wavelet transform journal December 2023
Convolutional Neural Network Approach for Robust Structural Damage Detection and Localization journal May 2019
Implementation of surface crack detection method for nuclear fuel pellets guided by convolution neural network journal January 2021
Economic Losses From a Fire in a Dense-Packed U.S. Spent Fuel Pool journal May 2017
Data Processing of Point Clouds for Object Detection for Structural Engineering Applications journal May 2013
Nondestructive evaluation of nuclear spent fuel dry cask structures using non-contact ACT-SLDV Lamb wave method conference April 2020
An Improved Method for PWR Fuel Failure Detection Using Cascade-forward Neural Network With Decision Tree journal March 2022
Earthquake-Induced Building Damage Detection with Post-Event Sub-Meter VHR TerraSAR-X Staring Spotlight Imagery journal October 2016

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