Neural Networks Techniques for Monitoring and Control of Internal Combustion Engines

Air-fuel Mixture Preparation for Internal Combustion Engines:Optical Techniques for Diagnosis of the Spray Developments

Nobody escapes the importance of the air/fuel mixture preparation in internal combustion engines, whatever is the thermodynamic cycle they work on and the adopted fuel. The short time between the fueling and the start of the combustion is crucial for the best mixture formation and its burning for energy optimization and the pollutant production. The always stringent vehicle emissions rules led ...

Enhancement of Combustion Process in Dual Fuel Engines at Part Loads by using Suitable Techniques

It is a well known fact that, dual fuel engines at part loads, inevitably suffer lower thermal efficiency, higher carbon monoxide and unburned fuel emission. The work in this paper is to investigate combustion characteristics of a dual fuel (diesel-gas) engine at part loads, using a single zone combustion model with detailed chemical kinetics for combustion of natural gas fuel. The authors deve...

Neural Network Modeling of the Emissions and Performance of a Heavy-Duty Diesel Engine

SYNOPSIS Internal combustion engines are being required to comply with increasingly stringent government exhaust emissions regulations. Compression ignition piston engines will continue to be used in cost-sensitive fuel applications such as in heavy-duty buses and trucks, power generation, locomotives, and off-highway applications, and will find application in hybrid electric vehicles. Close co...

Determination of Optimal ValveTiming for Internal Combustion Engines Using Parameter Estimation Method

An artificial Neural Network approach to monitor and diagnose multi-attribute quality control processes

One of the existing problems of multi-attribute process monitoring is the occurrence of high number of false alarms (Type I error). Another problem is an increase in the probability of not detecting defects when the process is monitored by a set of independent uni-attribute control charts. In this paper, we address both of these problems and consider monitoring correlated multi-attributes proce...