0000000001311867
AUTHOR
L. Rodriguez
Fault diagnosis with Coloured Petri Nets using Latent Nestling Method
This paper presents a new methodology for permanent and intermittent fault diagnosis, named Faults Latent Nestling Method (FLNM), using Coloured Petri Nets (CPNs). CPNs and FLNM method allow for an enhanced capability for synthesis and modelling in contrast to the classical phenomena of combinational state explosion when using Finite State Machine based methods.
CESAR: Cryogenic Electronics for Space Applications
Ultra-low temperature sensors provide unprecedented performances in X-ray and far infrared astronomy by taking advantage of physical properties of matter close to absolute zero. CESAR is an FP7 funded project started in December 2010, that gathers six European laboratories around the development of high performances cryogenic electronics. The goal of the project is to provide far-IR, X-ray and magnetic sensors with signal-processing capabilities at the heart of the detectors. We present the major steps that constitute the CESAR work, and the main results achieved so far.
Latent Nestling Method: A new fault diagnosis methodology for complex systems
This paper presents a new methodology for permanent and intermittent fault diagnosis, named faults latent nestling method (FLNM), using coloured Petri nets (CPNs). CPNs and FLNM method allow for an enhanced capability for synthesis and modelling of complex systems in contrast to the classical phenomena of combinational state explosion when using finite state machine based methods.
Application of latent nestling method using Coloured Petri Nets for the Fault Diagnosis in the wind turbine subsets
This paper presents an application example using the lating nestling method for the fault diagnosis based in the use of coloured Petri nets, to a lubrication and cooling system in the wind turbinepsilas gearbox with a critical subsystem as far as failure probability. It demonstrate the synthesis capacity of the method for any model of diagnosis and isolation, giving as opposed to know the contributed advantages other methodologies, as those based in finite state machine.
CCDC 710317: Experimental Crystal Structure Determination
Related Article: E.Labisbal, L.Rodriguez, O.Souto, A.Sousa-Pedrares, J.A.Garcia-Vazquez, J.Romero, A.Sousa, M.Yanez, F.Orallo, J.A.Real|2009|Dalton Trans.||8644|doi:10.1039/b907539a
CCDC 710318: Experimental Crystal Structure Determination
Related Article: E.Labisbal, L.Rodriguez, O.Souto, A.Sousa-Pedrares, J.A.Garcia-Vazquez, J.Romero, A.Sousa, M.Yanez, F.Orallo, J.A.Real|2009|Dalton Trans.||8644|doi:10.1039/b907539a
CCDC 710320: Experimental Crystal Structure Determination
Related Article: E.Labisbal, L.Rodriguez, O.Souto, A.Sousa-Pedrares, J.A.Garcia-Vazquez, J.Romero, A.Sousa, M.Yanez, F.Orallo, J.A.Real|2009|Dalton Trans.||8644|doi:10.1039/b907539a
CCDC 710319: Experimental Crystal Structure Determination
Related Article: E.Labisbal, L.Rodriguez, O.Souto, A.Sousa-Pedrares, J.A.Garcia-Vazquez, J.Romero, A.Sousa, M.Yanez, F.Orallo, J.A.Real|2009|Dalton Trans.||8644|doi:10.1039/b907539a