Reports de recerca
http://hdl.handle.net/2117/7021
2024-03-29T13:05:19ZModel and requirements for a multiresolution time series database management system
http://hdl.handle.net/2117/19183
Model and requirements for a multiresolution time series database management system
Llusà Serra, Aleix; Escobet Canal, Teresa; Vila Marta, Sebastià
In this paper we define a model for multiresolution time series database management systems. The main objective is to store compactly a time series and manage consistently its temporal dimension. It is achieved by extracting diferent resolutions and attributes summaries from the time series.
Our work is concerned in putting together two areas of study: time series analysis and database management systems (DBMS). Time series analysis offers a great deal of methodologies and algorithms to process time series data and database field provides software expertise in managing data. Therefore it is of primary relevance that DBMS support time series.
2013-05-13T15:19:06ZLlusà Serra, AleixEscobet Canal, TeresaVila Marta, SebastiàIn this paper we define a model for multiresolution time series database management systems. The main objective is to store compactly a time series and manage consistently its temporal dimension. It is achieved by extracting diferent resolutions and attributes summaries from the time series.
Our work is concerned in putting together two areas of study: time series analysis and database management systems (DBMS). Time series analysis offers a great deal of methodologies and algorithms to process time series data and database field provides software expertise in managing data. Therefore it is of primary relevance that DBMS support time series.Detecció de fallades en un sistema de piles de combustible
http://hdl.handle.net/2117/12791
Detecció de fallades en un sistema de piles de combustible
Escobet Canal, Antoni; Nebot Castells, M. Àngela
In this work a fault diagnosis system for non-linear plants based on fuzzy logic, called VisualBlock-FIR, is presented and applied to an energy generation system based on fuel cells. VisualBlock-FIR runs under the Simulink framework and enables early fault detection and identification. During fault detection, the fault diagnosis system should recognize that the system is not working properly. During fault identification, it should conclude which type of failure has occurred. The diagnosis results for some of the most frequent faults in fuel cell systems are presented.
2011-06-17T16:15:46ZEscobet Canal, AntoniNebot Castells, M. ÀngelaIn this work a fault diagnosis system for non-linear plants based on fuzzy logic, called VisualBlock-FIR, is presented and applied to an energy generation system based on fuel cells. VisualBlock-FIR runs under the Simulink framework and enables early fault detection and identification. During fault detection, the fault diagnosis system should recognize that the system is not working properly. During fault identification, it should conclude which type of failure has occurred. The diagnosis results for some of the most frequent faults in fuel cell systems are presented.