Qi Zhang

TL;DR: In this paper, a fault detection and isolation (FDI) method is developed for wind turbines based on a benchmark system model, where a fault detector is used for fault detection, and a bank of fault isolation estimators are employed to determine the particular fault type/location.

TL;DR: A distributed fault detection and isolation method is developed for a class of interconnected nonlinear uncertain systems, characterising the class of faults in each subsystem that are detectable and isolable by the proposed distributed FDI method.

TL;DR: In this article, a distributed sensor fault detection and isolation (FDI) method is developed for a class of interconnected nonlinear uncertain systems, where each subsystem is designed by utilizing local measurements and communicated information from neighboring FDI components associated with subsystems that are directly interconnected to the particular subsystem under consideration.

TL;DR: In this article, a distributed sensor fault detection and isolation (FDI) scheme for multimachine power systems is presented, where each generator is interconnected with other generators through a transmission network, where the interactions between directly interconnected generators are nonlinear.

TL;DR: In this paper, a distributed fault detection and isolation (FDI) method for a class of large-scale nonlinear uncertain systems is presented, where a local FDI component is designed for each subsystem by utilizing local measurements and certain communicated information from neighboring FDI components associated with subsystems that are directly interconnected.