One essential part of automated diagnosis systems for SI engines is due to elements of air path system. The diagnosis task is getting more challenging by including Exhaust Gas Recirculation (EGR) which its transient effects on temperament complexity of the air-path system are quite significant. The faults occur in this subsystem can result in deviation in air-fuel ratio, which causes increased ...

Turbocharged (TC) spark-ignited (SI) engines are popular as they combine high power output with good fuel economy. Furthermore, their emissions can be successfully reduced using a three way catalyst (TWC) provided that the airfuel ratio is precisely controlled. As the air-fuel ratio depends on the precision of the air charge estimate, this thesis is devoted to the systematic improvement of the ...

We present a novel approach that enables a target speaker (e.g. monolingual Chinese speaker) to speak a new language (e.g. English) based on arbitrary textual input. Our system includes a trained English speaker-independent automatic speech recognition (SI-ASR) engine using TIMIT. Given the target speaker’s speech in a non-target language, we generate Phonetic PosteriorGrams (PPGs) with the SI-...

This paper presents experimental activities that have been performed in the Automotive Engineering Centre laboratories in Universiti Malaysia Pahang for developing a test-rig based on a modern motorcycle engine. The experimental engine test-rig was developed based on an eddy current dynamometer which was coupled to a four-stroke singlecylinder SI motorcycle engine. Moreover, the test-rig consis...

It is very well known that the efficiency of an SI engine is limited by knock occurrence. As a compromise between knocking combustion avoidance and an accepted level of efficiency, an engine is typically operated at very close to the knocking boundary. However, the position of an engine knocking boundary is shifted if the fuel composition changes. The description of this abnormal combustion is ...

Fault detection and isolation (FDI) in dynamic data from an automotive engine air path using artificial neural networks is investigated. A generic SI mean value engine model is used for experimentation. Several faults are considered, including leakage, EGR valve and sensor faults, with different fault intensities. RBF neural networks are trained to detect and diagnose the faults, and also to in...

Di methyl carbonate (DMC) has a lot of good properties to be used as a blend with gasoline. In order to improve the efficiency, combustion stability and emission performance of a spark ignition engine, oxygenated fuel (DMC) is added to a gasoline. In this experimental work, the effect of using 100% gasoline and gasoline-DMC blends (D5, D10, D15 and D20) on four cylinder engine performance and e...

A large eddy simulation (LES) model was developed to simulate the combustion process in a spark-assisted homogeneous charge compression ignition (SACI) engine. First, an ignition and flame propagation model based on a reaction progress variable is presented. The reaction progress variable is defined based on the normalized cumulative heat release. Transport equation for the progress variable is...

In spark ignition (SI) engines, the accurate control of air fuel ratio (AFR) in the stoichiometric value is required to reduce emission and fuel consumption. The wide operating range, the inherent nonlinearities and the modeling uncertainties of the engine system are the main difficulties arising in the design of AFR controller. In this paper, an optimization-based nonlinear control law is a...