This paper mainly analyses the fault tolerant capability of a combining classifier that uses a K-voting strategy for integrating binary classifiers. From the point view of fault tolerance, we discuss the influence of the failure of binary classifiers on the final output of the combining classifier, and present a theoretical analysis of combination performance under three fault models. The resul...

We investigate whether productivity differences explain why some manufacturers sell only to the domestic market while others serve foreign markets through exports and/or FDI. When overseas production offers no cost advantages, our model predicts that investors should be more productive than exporters. An extension allowing for low-cost foreign production can reverse this prediction. Data for 10...

Process and power plant control, along with fault detection/isolation are being addressed by significant on-going research with many theoretical developments focused on improvements for all of these major industrial applications. This report provides an overview of the current key problems, recent accomplishments and trends, as well as a forecast of anticipated developments within this very imp...

This paper tests some of the predictions of recent advances in trade theory that have focused on different trade patterns of firms within the same sector. Helpman, Melitz and Yeaple (2005) develop a model in which innate productivity differences between firms determine the degree of international engagement of firms: The least productive firms produce for the domestic market, better performers ...

Cause-e ect graphing is a well-known requirement based testing technique. However, since it was introduced by Myers in 1979, there seems not to have been any su ciently comprehensive studies to generate test cases from these graphs. This paper proposes to convert cause-e ect graphs into Boolean expressions and nd out the test cases using test input generation techniques for Boolean expressions,...

The development of on line model-based fault detection systems in machinery improves the operational reliability of industrial systems and reduces the operational and maintenance costs. In this direction, this paper presents the use of modelling information to determine changes in characteristics from measured data for the fault detection purpose of hydraulic driven machines as well as for the ...

In this paper we discuss the application of our recently developed nonlinear analytical redundancy (NLAR) fault detection technique to a two-degree of freedom robot manipulator. NLAR extends the traditional linear AR technique to derive the maximum possible number of fault detection tests into the continuous nonlinear domain. The ability to handle nonlinear systems vastly expands the accuracy a...