Harleen Sandhu
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Works (4)
Updated: July 24th, 2023 08:20
2023 review
A Future with Machine Learning: Review of Condition Assessment of Structures and Mechanical Systems in Nuclear Facilities
[Review of ]. ENERGIES, 16(6).
co-author countries:
United States of America 🇺🇸
author keywords: condition assessment; artificial intelligence; deep learning; damage detection; signal processing; data management; nuclear piping; concrete; advanced reactors; digital twin
www.mdpi.com (publisher PDF)
Source: Web Of Science
Added: April 17, 2023
2023 journal article
Condition Monitoring of Nuclear Equipment-Piping Systems Subjected to Normal Operating Loads Using Deep Neural Networks
JOURNAL OF PRESSURE VESSEL TECHNOLOGY-TRANSACTIONS OF THE ASME, 145(4).
co-author countries:
United States of America 🇺🇸
Source: Web Of Science
Added: July 19, 2023
2023 journal article
Post-hazard condition assessment of nuclear piping-equipment systems: Novel approach to feature extraction and deep learning
INTERNATIONAL JOURNAL OF PRESSURE VESSELS AND PIPING, 201.
co-author countries:
United States of America 🇺🇸
author keywords: Condition assessment; Deep learning; Nuclear piping; Flow-assisted corrosion; erosion; Degradation detection
Source: Web Of Science
Added: January 23, 2023
2022 journal article
Computer-Vision-Based Vibration Tracking Using a Digital Camera: A Sparse-Optical-Flow-Based Target Tracking Method
SENSORS, 22(18).
co-author countries:
United States of America 🇺🇸
author keywords: computer vision; acceleration response; target tracking; sparse optical flow
MeSH headings : Algorithms; Computers; Image Processing, Computer-Assisted; Optic Flow; Vibration
Sources: Web Of Science, ORCID
Added: September 14, 2022
