Machine Learning for Fatigue Estimation and Prediction “An Introduction Study”

2022 ◽  
pp. 226-231
Author(s):  
Lilia Aljihmani ◽  
Doru Ursutiu ◽  
Samoila Cornel ◽  
Khalid Qaraqe
Keyword(s):  
Machine Learning ◽  
Estimation And Prediction ◽  
Fatigue Estimation

scholarly journals Online Fatigue Estimation and Prediction of Switching Device in Urban Railway Traction Converter Based on Current Recognition and Gray Model

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 123307-123319
Author(s):  
Lei Wang ◽  
Weihua Xu ◽  
Shenyi Liu ◽  
Ruichang Qiu ◽  
Chunmei Xu
Keyword(s):  
Gray Model ◽  
Switching Device ◽  
Estimation And Prediction ◽  
Railway Traction ◽  
Fatigue Estimation

Modified Low-Cycle Fatigue Estimation Using Machine Learning for Radius-Cut Coke-Shaped Metallic Damper Subjected to Cyclic Loading

2020 ◽  
Vol 20 (6) ◽  
pp. 1849-1858 ◽  
Author(s):  
Jaehoon Bae ◽  
Chang-Hwan Lee ◽  
Minjae Park ◽  
Robel Wondimu Alemayehu ◽  
Jaeho Ryu ◽  
...  
Keyword(s):  
Machine Learning ◽  
Cyclic Loading ◽  
Low Cycle Fatigue ◽  
Cycle Fatigue ◽  
Fatigue Estimation ◽  
Metallic Damper

scholarly journals Heart Failure: Diagnosis, Severity Estimation and Prediction of Adverse Events Through Machine Learning Techniques

2017 ◽  
Vol 15 ◽  
pp. 26-47 ◽  
Author(s):  
Evanthia E. Tripoliti ◽  
Theofilos G. Papadopoulos ◽  
Georgia S. Karanasiou ◽  
Katerina K. Naka ◽  
Dimitrios I. Fotiadis
Keyword(s):  
Machine Learning ◽  
Heart Failure ◽  
Adverse Events ◽  
Failure Diagnosis ◽  
Machine Learning Techniques ◽  
Estimation And Prediction ◽  
Severity Estimation ◽  
Learning Techniques ◽  
Heart Failure Diagnosis
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