Title :
Optimal sensor network for fault diagnosis using structural analysis
Author :
Chamseddine, Abbas ; Noura, Hassan ; Theilliol, Didier
Author_Institution :
Centre de Rech. en Autom. de Nancy, Nancy Univ., Nancy, France
Abstract :
This paper addresses the problem of instrumentation for fault detection and isolation in structured systems. The design of sensor networks is achieved by using structural analysis. This problem of sensor network design is formulated as nonlinear binary optimization problem. If the FDI problem is not solvable for an instrumented system, the strategy determines the additional sensors to be used to guarantee faults diagnosability. In addition, it is shown how to design a sensor network for non-instrumented systems while optimizing the number of sensors, the cost or the reliability of the network.
Keywords :
distributed sensors; fault diagnosis; optimisation; fault detection; fault diagnosis; fault isolation; nonlinear binary optimization problem; sensor network design; structural analysis; Control systems; Cost function; Design optimization; Fault detection; Fault diagnosis; Instruments; Observability; Particle separators; Sensor systems; State estimation;
Conference_Titel :
Advances in Computational Tools for Engineering Applications, 2009. ACTEA '09. International Conference on
Conference_Location :
Zouk Mosbeh
Print_ISBN :
978-1-4244-3833-4
Electronic_ISBN :
978-1-4244-3834-1
DOI :
10.1109/ACTEA.2009.5227867
