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        Fault diagnosis in grid-connected PV NPC inverters by a model-based and data processing combined approach 

        Campos-Delgado, Daniel; Pecina Sanchez, Jose Ángel; Espinoza Trejo, Diego Rivelino; Valdez-Fernandez, Andres A.; de Angelo, Cristian Hernan (IET, 2019-10)
        This paper presents a fault detection and isolation (FDI) method for open-circuit faults (OCF) in the switching devices of a grid-connected neutral-point-clamped (NPC) inverter for photovoltaic (PV) applications. The ...

        A new adaptive analog test and diagnosis system 

        Cota, Erika Fernandes; Negreiros, Marcelo; Carro, Luigi; Lubaszewski, Marcelo Soares (2011)

        Automatic qualitative trend simulation method for diagnosing faults in industrial processes 

        Maestri, Mauricio Leonardo; Ziella, Daniel Horacio; Cassanello Fernandez, Miryam Celeste; Horowitz, Gabriel Ignacio (Elsevier, 2014-01)
        This work proposes an automatic method of qualitative simulation for industrial processes to predict the steady-state measurement patterns arising from different faults. Due to their characteristics, qualitative simulations ...

        Actuator Fault Diagnosis Using Probabilistic Ultimate Bounds 

        Pizzi, Noelia Belén; Kofman, Ernesto Javier; Seron, Maria Marta; De Dona, Jose (Institute of Electrical and Electronics Engineers, 2016-06)
        This work proposes a fault diagnosis scheme where the occurrence of failures is detected when certain trajectories reach some probabilistic sets, allowing the presence of unbounded disturbances. This is the first result ...

        System-Level Fault Diagnosis with Dynamic Mesh Optimization 

        Falcon, Rafael; Almeida, Marcio; Nayak, Amiya; Bello, Rafael (Revista Computación y Sistemas; Vol. 16 No. 2, 2012-06-05)
        Abstract. The efficient identification of hardware and software faults in parallel and distributed systems still remains a challenge in today's most prolific decentralized environments. System-level fault diagnosis is ...

        A structural approach to design sensor networks for fault diagnosis 

        Rodriguez, Leandro P. F.; Cedeño Viteri, Marco Vinicio; Sanchez, Mabel Cristina (American Chemical Society, 2013-12)
        Key faults significantly affect the normal operation of the process originating risk conditions. These failures should be identified even in the presence of missing measurements or outliers. In this work a new strategy to ...

        Deep variational auto-encoders: A promising tool for dimensionality reduction and ball bearing elements fault diagnosis 

        San Martin, Gabriel; López Droguett, Enrique; Meruane Naranjo, Viviana; das Chagas Moura, Márcio (SAGE Publications Ltd, 2019)
        © The Author(s) 2018.One of the main challenges that the industry faces when dealing with massive data for failure diagnosis is high dimensionality of such data. This can be tackled by dimensionality reduction method such ...

        Winding distribution effects on induction motor rotor fault diagnosis 

        Pezzani, Carlos Martín; Bossio, Guillermo Rubén; de Angelo, Cristian Hernan (Elsevier, 2013-10)
        The sidebands around stator currents harmonics as a potential tool for supporting the diagnosis of rotor faults in induction motors are analyzed in this paper. The presence of broken bars introduces high frequency components ...

        Rotor fault diagnosis in permanent magnet synchronous machine using the midpoint voltage of windings 

        Bossio, Jose Maria; Ruschetti, Cristian Roberto; Bossio, Guillermo Rubén; Verucchi, Carlos; de Angelo, Cristian Hernan (Institution of Engineering and Technology, 2020-02)
        A new strategy is proposed here for the diagnosis of asymmetric demagnetisation in permanent magnet synchronous machines. The strategy is based on the measuring of the voltage at the midpoint of the windings within a phase. ...

        A binary integer linear programming model for fault section estimation in electric power systems 

        Universidade Estadual Paulista (Unesp) (2019-11-01)
        A new method, based on binary integer programming, to solve the problem of fault section estimation in power systems is developed in this work. This optimization model is formulated based on a set of minimum covers, subject ...
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        Red de Repositorios Latinoamericanos
        + of 4.000.000
        Available publications
        163 Participating institutions
        Dirección de Servicios de Información y Bibliotecas (SISIB)
        Universidad de Chile
        Membership Login
        Featured collections
        • Latin American Theses
        • Argentinean Theses
        • Chilean Theses
        • Peruvian Theses
        Latest collections added
        • Argentina
        • Brazil
        • Colombia
        • México
        Dirección de Servicios de Información y Bibliotecas (SISIB)
        Universidad de Chile
        Red de Repositorios Latinoamericanos | 2006-2018