scholarly journals A Fuzzy Logic Model for Evaluation of Oil-Film Pressure in Hydrodynamic Bearing

Author(s):  
Ashwani Kharola
2013 ◽  
Vol 6 (20) ◽  
pp. 3871-3878 ◽  
Author(s):  
Diyar I. Ahmed ◽  
S. Kasolang ◽  
Basim A. Khidhir ◽  
B.F. Yousif

2013 ◽  
Vol 393 ◽  
pp. 881-887
Author(s):  
Diyar I. Ahmed ◽  
Salmiah Kasolang ◽  
Basim A. Khidhir ◽  
C.F. Mat Taib

In the present work, a fuzzy logic model is developed to predict the oil-film pressure in hydrodynamic plain journal bearing. In the development of predictive model, journal bearing parameters of speed, load and oil-feed pressure are considered as model independent variables. For this purpose, a number of experiments, based Box-Behnken experiment design technique, are performed to observe the oil-film pressure values. The results revealed that the model is able to predict the oil-film pressure adequately.


1998 ◽  
Vol 12 (5) ◽  
pp. 957-965 ◽  
Author(s):  
Erik H. Meesters ◽  
Rolf P. M. Bak ◽  
Susie Westmacott ◽  
Mark Ridgley ◽  
Steve Dollar

Electronics ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 448
Author(s):  
Marco Antonio Islas ◽  
José de Jesús Rubio ◽  
Samantha Muñiz ◽  
Genaro Ochoa ◽  
Jaime Pacheco ◽  
...  

In this article, a fuzzy logic model is proposed for more precise hourly electrical power demand modeling in New England. The issue that exists when considering hourly electrical power demand modeling is that these types of plants have a large amount of data. In order to obtain a more precise model of plants with a large amount of data, the main characteristics of the proposed fuzzy logic model are as follows: (1) it is in accordance with the conditions under which a fuzzy logic model and a radial basis mapping model are equivalent to obtain a new scheme, (2) it uses a combination of the descending gradient and the mini-lots approach to avoid applying the descending gradient to all data.


2004 ◽  
Vol 34 (8) ◽  
pp. 1429-1433 ◽  
Author(s):  
Sedat Akkurt ◽  
Gokmen Tayfur ◽  
Sever Can

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