Damage detection in hyperbolic cooling towers using vibration characteristics and artificial neural network
Author(s) -
Chathurangi Madusha Randiligama Sepala Mudiyanselage
Publication year - 2022
Language(s) - English
Resource type - Dissertations/theses
DOI - 10.5204/thesis.eprints.227918
Subject(s) - artificial neural network , tower , structural engineering , cooling tower , vibration , engineering , damages , water cooling , computer science , artificial intelligence , mechanical engineering , acoustics , physics , law , political science
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