| Polynomial chaos theory (PCT) is applied to sensor validation in order to achieve high level reliability of engineering applications. Sensor validation deals with measurement failure detection, isolation, and missing data reconstruction. The resulting algorithms are used to guarantee the survivability of a closed-loop system against sensor failures. The proposed approach allows for independent model development by propagation of uncertainty through systems. The models so derived are also suitable for on-line real time operation. The developed general methodologies are applied to several applications: control of electric drives, decentralized monitoring of power systems, and protection characterized by self-healing capabilities for medium voltage DC (MVDC) shipboard power system. |
