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The vehicle routing problem with time windows and evidential service and travel times: A recourse model. Open
International audience
View article: Stray Flux Multi-Sensor for Stator Fault Detection in Synchronous Machines
Stray Flux Multi-Sensor for Stator Fault Detection in Synchronous Machines Open
The aim of this paper is to detect a stator inter-turn short circuit in a synchronous machine through the analysis of the external magnetic field measured by external flux sensors. The paper exploits a methodology previously developed, bas…
View article: Evaluation of the voltage supply unbalance and detection of the short-circuit faults in induction machine through the neighboring magnetic field
Evaluation of the voltage supply unbalance and detection of the short-circuit faults in induction machine through the neighboring magnetic field Open
This paper presents a new way to use magnetic field analysis for the detection of two electrical dissymmetries which appear in the asynchronous machine. The magnetic field is an interesting variable to exploit for the diagnosis of electric…
A Recourse Approach for the Capacitated Vehicle Routing Problem with Evidential Demands Open
The capacitated vehicle routing problem with stochastic demands can be modelled using either the chance-constrained approach or the recourse approach. In previous works, we extended the former approach to address the case where uncertainty…
E-DBSCAN: An evidential version of the DBSCAN method Open
In later years, data have grown enormously and dealing with them to extract information has become a necessity. Data mining is a subfield of both computer science and statistics that aim to extract useful information in a comprehensive str…
View article: Adapted Coil Sensors for Measuring the External Magnetic Field of Electrical Machines
Adapted Coil Sensors for Measuring the External Magnetic Field of Electrical Machines Open
This paper proposes a criterion in the choice of coil sensors which can be used in the diagnosis of electrical machines. These sensors allow us to measure external magnetic field of the machine. Their interest is due to their robustness, r…
Managing uncertainty during CBR systems vocabulary maintenance using Relational Evidential C-Means Open
Due to the incremental learning of Case-Based Reasoning (CBR) systems, there is a colossal need to maintain their knowledge containers which are (1) the case base, (2) similarity measures, (3) adaptation, and (4) vocabulary knowledge. Actu…
An Evidential Spammer Detection based on the Suspicious Behaviors' Indicators Open
International audience
EXPLOITING PRIOR KNOWLEDGE FOR EVALUATING CBR SYSTEMS USING A COVERAGE & CONSTRAINED EVIDENTIAL CLUSTERING BASED MODEL Open
Knowledge resource evaluation presents a concern of widespread interest in intelligent and knowledge managementsystems. For instance, the competence of Case Based Reasoning (CBR) systems in solving new problems depends mainlyon the concept…