This paper presents the application of a new
methodology for Fault Detection and Isolation (FDI) to a Fuel Cell System. The work is devoted to find an optimal set of sensors for model-based FDI. The novelty is that binary integer linear programming (BILP) is used in the optimization
formulation, leading to a reformulation of the detectability and isolability specifications as linear inequality constraints. The approach has been successfully applied to a Fuel Cell System
Nejjari, F.; Sarrate, R.; Rosich, A. Optimal sensor placement for fuel cell system diagnosis using BILP formulation. A: Mediterranean Conference on Control and Automation. "18th. Mediterranean Conference on Control and Automation". Marrakech: IEEE Press. Institute of Electrical and Electronics Engineers, 2010, p. 1296-1301.