Simulating the Diesel Engine Vibration with Fuzzy Neural Network

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.