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     Research Journal of Applied Sciences, Engineering and Technology

    Abstract
2014(Vol.8, Issue:9)
Article Information:

Simulating the Diesel Engine Vibration with Fuzzy Neural Network

Sina Abroumand Azar and Arash Hosseinian Ahangarnejad
Corresponding Author:  Sina Abroumand Azar 
Submitted: April 22, 2013
Accepted: May 18, 2013
Published: September 05, 2014
Abstract:
This study is conducted in order to evaluate the models of artificial intelligence in predicting the level of diesel vibrations. In this study, the Artificial Neural Network (ANN) and the Adaptive Neuro Fuzzy Inference System (ANFIS) are used in order to simulate the vibration of the whole diesel engine. Vibration in the gasoline or diesel engines has been investigated according to numerous aspects so far. Noise and vibration, which occurs in the engine due to the combustion process, can make direct effects on the users. This is particularly true in the engines with large compression ratios and engines in which the combustion pressure increases rapidly. Results indicate that the vibration of Diesel engines can be predicted with reasonable accuracy by applying the smart models. The results of predicting the Artificial Neural Network are partially better than the Adaptive neuro fuzzy inference system.

Key words:  Diesel engine, fuzzy neural network, simulation, vibration, , ,
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Cite this Reference:
Sina Abroumand Azar and Arash Hosseinian Ahangarnejad, . Simulating the Diesel Engine Vibration with Fuzzy Neural Network. Research Journal of Applied Sciences, Engineering and Technology, (9): 1045-1051.
ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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