This paper proposes a distance measure of neutrosophic numbers and a similarity measure based on cosine function, and then develops the misfire fault diagnosis method of gasoline engines by using the cosine similarity measure of neutrosophic numbers. In the fault diagnosis, by the cosine similarity measure between the fault knowledge (fault patterns) and required diagnosistesting sample with ne...

Software fault analysis is on major vector adopted by different researchers to analyze the software reliability. But most of the author taken the fault individually as the fault criticality or the fault count. But in this presented work we have considered all aspects of software faults i.e. fault count, fault criticality, fault frequency, associatively between faults. In this work a three level...

This paper deals with the application of artificial neural networks (ANNs) to the fault detection and location in extra high voltage (EHV) transmission lines for high speed protection using one terminal line. The neural fault detector and locators have been trained with different sets of data available from a selected power network model and simulating different fault scenarios (fault types, fa...

Near-fault ground motions have caused very much damage in the vicinity of seismic sources during recent earthquakes. It is well known that under specific circumstances, intensive ground shakings near fault ruptures may be characterized by short-duration impulsive motions. This pulse-type motion is generally particular to the forward direction, where the fault rupture propagates towards the site...

In this paper, we investigate software fault detection and fault correction processes based on infinite server queuing model which incorporate testing effort functions. Some researches proposed in the literature to study fault detection and fault correction processes. However, most of them do not consider the amount of resources consumed during fault detection and fault correction processes. Th...