The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
This paper deals with the fault detection of solar energy production source system (SEPSS) based on the least squares method. This choice resides on its implementation simplicity and also rarely use in the diagnosis of a SPESS. In first, an analytical model of the photovoltaic (PV) module based on the Bishop model is exposed. Also, the least squares method is detailed. These models have been implemented...
An inter turns short circuit fault is an evolving fault, the beginning of this is the degradation of the insulation of the winding of the induction machine. This degradation can be modeled with a resistance called the resistance of contact. This resistance limits the fault current flowing through the turns short-circuited. This fault current is the responsible of the defect in the electrical machine...
Most cases of electrical machines are connected directly to the low voltage power system without inverter, which can be subjected to a harmonic pollution at any time. The presence of these harmonics can compromise the reliability of the fault detection. In this paper, we present the winding fault diagnosis of induction machine connected to a harmonically polluted low voltage power system. The detection...
The development of sensemaking support systems requires that one cares about knowledge representation. Motivated by the fact that no single representation method is ideally suited by itself for all tasks, the authors propose a collection of knowledge representation artifacts appropriate for processing in computer-based support systems for situation analysis. The approach described makes it possible...
This paper deals with the faults diagnosis of wind energy conversion chain based on doubly fed induction generator (DFIG). A complete model of the device is presented. An accurate model of the induction machine is proposed because the considered faults are come from this element. The developed model of the conversion chain allows studying both the cases with and without faults. The principal components...
This paper deals with faults detection and localization of wound rotor induction machines based on principal components analysis method. Both, localization and detection approaches consist in analyzing a detection index which is established on principal components. Once the faults are detected, the affected state variables are localized. The EWMA filter is applied to improve the fault detection quality...
This paper describes an existing proof-of-concept prototype of an automated reasoning service exploiting ontologies expressed in description logic to support the intelligence staff in detecting and categorizing threats. The key concepts of threat analysis are first presented and they are then organized into a reasoning framework. The development of a suitable ontology for threat analysis is discussed,...
This paper takes stock on long-term research activities targeting the development of support systems for the intelligence analysts and the decision makers involved in situation analysis and sensemaking. It first reviews two notional models of situation analysis and sensemaking, which provides insights into these multifaceted processes. It then discusses the natural fit of knowledge-based systems technologies...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.