A Hybrid machine‐learning method for oil‐immersed power transformer fault diagnosis

2020 ◽  
Vol 15 (4) ◽  
pp. 501-507 ◽  
Author(s):  
Xiaohui Yang ◽  
Wenkai Chen ◽  
Anyi Li ◽  
Chunsheng Yang
Keyword(s):  
Machine Learning ◽  
Fault Diagnosis ◽  
Power Transformer ◽  
Machine Learning Method ◽  
Learning Method ◽  
Hybrid Machine ◽  
Transformer Fault

scholarly journals Estimation of diffusive states from single-particle trajectory in heterogeneous medium using machine-learning methods

2018 ◽  
Vol 20 (37) ◽  
pp. 24099-24108 ◽  
Author(s):  
Yu Matsuda ◽  
Itsuo Hanasaki ◽  
Ryo Iwao ◽  
Hiroki Yamaguchi ◽  
Tomohide Niimi
Keyword(s):  
Machine Learning ◽  
Markov Model ◽  
Particle Trajectory ◽  
Heterogeneous Medium ◽  
Hidden Markov ◽  
Machine Learning Method ◽  
Learning Method ◽  
Machine Learning Methods ◽  
Novel Approach ◽  
Hybrid Machine

We propose a novel approach to analyze random walks in heterogeneous medium using a hybrid machine-learning method based on a gamma mixture and a hidden Markov model.

Transfer learning features for predicting aesthetics through a novel hybrid machine learning method

2019 ◽  
Vol 32 (10) ◽  
pp. 5889-5900 ◽  
Author(s):  
Adrian Carballal ◽  
Carlos Fernandez-Lozano ◽  
Jonathan Heras ◽  
Juan Romero
Keyword(s):  
Machine Learning ◽  
Transfer Learning ◽  
Machine Learning Method ◽  
Learning Method ◽  
Hybrid Machine
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