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Journal of Engineering and Applied Sciences
Year: 2019 | Volume: 14 | Issue: 1 SI | Page No.: 3842-3844
DOI: 10.36478/jeasci.2019.3842.3844  
Fuzzy Neural Network in Circumstance Maintanence for Marine Electric Propulsion System
D.T. Jacob Jai Kumar
 
Abstract: Since, marine electric drive framework is made out of various types of gear with confused yet interconnected structure it ought to apply condition support to unravel upkeep not on time or over-upkeep. Connected condition support could enhance the utilization of types of gear in order to enhance operational proficiency and upkeep capacity of ship. Perceiving the deficiencies of non-insight of fluffy hypothesis and additionally moderate merging of canny neural-arrange, the Fluffy Neural system (FNN) strategy for condition support of marine electric drive framework is connected in the study. It represented the superiority of FNN method and using FNN to set up the progress and implement steps of condition maintenance of marine electric propulsion system. Using the certain ship’s measurement data we obtained a model of condition maintenance model with FNN. Simulation using MATLAB shows that it can provide high precision and is suitable for project application.
 
How to cite this article:
D.T. Jacob Jai Kumar , 2019. Fuzzy Neural Network in Circumstance Maintanence for Marine Electric Propulsion System. Journal of Engineering and Applied Sciences, 14: 3842-3844.
DOI: 10.36478/jeasci.2019.3842.3844
URL: http://medwelljournals.com/abstract/?doi=jeasci.2019.3842.3844