Autor

Mostrando ítems 1-5 de 5

    • A machine learning method applied to the evaluation of the condition in a fleet of similar vehicles 

      Calvo Báscones, Pablo; Sanz Bobi, Miguel Ángel; Brighenti, Chiara; Ricatto, Mattia
      This paper presents a procedure for anomaly detection of temperatures in different key components of the power train in a fleet of similar vehicles. The anomaly detection is based on the characterization of the typical ...

    • A machine learning method applied to the evaluation of the condition in a fleet of similar vehicles 

      Calvo Báscones, Pablo; Sanz Bobi, Miguel Ángel; Brighenti, Chiara; Ricatto, Mattia (European Safety and Reliability Association; International Association for Probabilistic Safety Asse (Venecia, Italia), 2020-11-01)
      This paper presents a procedure for anomaly detection of temperatures in different key components of the power train in a fleet of similar vehicles. The anomaly detection is based on the characterization of the typical ...

    • Auto-regressive processes explained by self-organized maps: application to the detection of abnormal behavior in industrial processes 

      Brighenti, Chiara; Sanz Bobi, Miguel Ángel (2011-12-01)
      This paper analyzes the expected time evolution of an auto-regressive (AR) process using self-organized maps (SOM). It investigates how a SOM captures the time information given by the AR input process and how the transitions ...

    • Component Stress Evaluation in an Electrical Power Distribution System Using Neural Networks 

      Sanz Bobi, Miguel Ángel; Andrade Vieira, Rodrigo José; Brighenti, Chiara; Palacios Hielscher, Rafael; Nicolau, Guillermo; Ferrarons, Pere; Vieira Junior, Petronio (International Society of Applied Intelligence (ISAI), Computational Intelligence and Bioinformatics (Córdoba, España), 01/06/2010)
      This paper presents a procedure that permits a qualitative evaluation of the stress in components of an electric power distribution system. The core of this procedure is the development of a set of models based on neural ...

    • Knowledge extraction 

      Brighenti, Chiara; Brighenti, Attilio; Biancat, Jacopo; Sanz Bobi, Miguel Ángel (2015-01-01)
      This article presented an anomaly detection method based on techniques of knowledge extraction from data, which can be fully applied to detect anomalous working conditions and prevent unexpected faults and shut downs of ...