In this paper, a new fault diagnosis method using an adaptive neural network for automotive engines is developed. A redial basis function (RBF) network is used as a fault classifier with its widths and weights on-line adapted to cope with model uncertainty and time varying dynamics caused by mechanical wear of engine parts, environment change, etc. Five different sensors are investigated for an...

We consider a reversal of the magnetic moment of a nanomagnet by a fluctuating spin torque induced by a nonequilibrium current of electron spins. This is an example of the problem of the escape of a particle from a metastable state subjected to a fluctuating nonconservative force. Spin torque is a nonconservative force, and its fluctuations are beyond the description of the fluctuation-dissipat...

Hydrogen has been known as a clean and suitable fuel to replace conventional fossil fuels. One of the common hydrogen production methods is using water electrolysis process. This method produces oxygen as well as hydrogen by ratio of 1:2. The aim of this work is to investigate the effects of inlet air enrichment by adding produced hydrogen and oxygen to an internal combustion engine. For this p...

Actuation schemes exist that permit the joint manage ment of air and fuel ow into the cylinders of a spark ignition engine With the exception of drive by wire systems to date the transient control aspects of these schemes collectively refered to here as secondary cylin der air ow actuators has not received any attention from the control community This paper takes a rst step in the analysis of t...

In this paper we analyze the nonlinear dynamic be havior of an internal exhaust gas recirculation system based on the mean value model of an experimental en gine equipped with a camshaft phaser We develop a dynamic camshaft timing schedule that regulates the in ternal exhaust gas recirculation system while maintain ing transient engine torque response similar to an engine with zero exhaust gas ...