The hypothesis of this paper is that the intellectual capital is one of key motivational factors for attracting FDI in Croatia. The confirmation of the hypothesis is based on sectoral and specific firm analysis. The analysis of intellectual capital is based on VAIC method and other methodologies for measuring intellectual capital are also mentioned as a reference. It is also suggested that thos...

This paper is a general review of the emerging policy and research issues in the current context of rapid technological change and policy liberalization. It deals with the benefits and costs of FDI to development and the market failures that affect their impact on developing host countries. It focuses on the impact of FDI on local enterprise development, static versus dynamic benefits and barga...

This paper deals with the role of skill formation and new skill needs for building technological capabilities for developing countries to compete effectively in manufactured exports. It places the analysis in the context of rapid technical progress and globalisation, with large shifts in the location of productive and innovative activity, patterns of comparative advantage, and systems of indust...

Fault detection and isolation is a key component of any safety-critical system. Although diagnosis methods based on discrete event systems have been recognized as a promising framework, they cannot be easily applied to systems with complex continuous dynamics. This paper presents a novel approach for discrete event system diagnosis of continuous systems based on a qualitative abstraction of the...

This paper addresses the problem of fault detection and isolation of wind turbines using a mixed Bayesian/Setmembership approach. Modeling errors are assumed to be unknown but bounded, following the set-membership approach. On the other hand, measurement noise is also assumed to be bounded, but following a statistical distribution inside the bounds. To avoid false alarms, the fault detection pr...

Statistical fault prediction models and expert estimations are two popular methods for deciding where to focus the fault detection efforts when the fault detection budget is limited. In this paper, we present a study in which we empirically compare the accuracy of fault prediction offered by statistical prediction models with the accuracy of expert estimations. The study is performed in an indu...

The development of enhanced fault detection ability for gearbox systems has received considerable attention in recent years. Detecting the gear fault easier is very important for maintenance action. This has driven the need in research for enhanced gear fault detection method. The goal is to extract periodic impulse signal from the very noise signal which mainly contains the narrowband signals....

In this paper a generic method for fault detection and isolation (FDI) in manufacturing systems considered as discrete event systems (DES) is presented. The method uses an identified model of the controlled process to be monitored which is built on the basis of observed fault free behavior. A special term of accuracy is motivated that helps to identify an efficient model. This paper gives an ov...