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A Taxonomy-based Approach for Fault Localization in Service-Oriented Applications
(Institute of Electrical and Electronics Engineers, 2016-05)
Service Oriented Computing is a relevant paradigm that allows for building software solutions as it supports the creation of dynamic and agile applications. As a result of these benefits, applications based on the paradigm ...
A Probabilistic Fault Detection Approach: Application to Bearing Fault Detection
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2011-05)
This paper introduces a method to detect a fault associated with critical components/subsystems of an engineered system. It is required, in this case, to detect the fault condition as early as possible, with specified ...
Characterizing a Detection Strategy for Transient Faults in HPC
(Editorial de la Universidad Nacional de La Plata (EDULP), 2016)
Characterization of Quaternary faults by electric resistivity tomography in the Andean Precordillera of Western Argentina
(Pergamon-Elsevier Science Ltd, 2009-10)
Structural and geomorphic surface observations are frequently insufficient for a proper geometric and kinematic characterization of Quaternary faults. In order to improve the geological knowledge of three Quaternary faults ...
Fault Detection in Power Distribution Systems Using Automated Integration of Computational Intelligence Tools
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2011)
The main purpose of this paper is to present architecture of automated system that allows monitoring and tracking in real time (online) the possible occurrence of faults and electromagnetic transients observed in primary ...
Fault identification in distribution lines using intelligent systems and statistical methods
(2006-12-01)
The main objective involved with this paper consists of presenting the results obtained from the application of artificial neural networks and statistical tools in the automatic identification and classification process ...
Fault identification in distribution lines using intelligent systems and statistical methods
(2006-12-01)
The main objective involved with this paper consists of presenting the results obtained from the application of artificial neural networks and statistical tools in the automatic identification and classification process ...
Fast fault section estimation in distribution control centers using adaptive genetic algorithm
(Elsevier B.V., 2014-12-01)
This paper presents a novel mathematical model for fast fault section estimation in a Distribution Control Center (DCC). The mathematical model is divided into two parts, namely: (1) a protection system operations model ...