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This paper presents an approach to fault detection and isolation for a network composed by multiple Unmanned Aerial Vehicles (UAVs) flying in formation. The methodology consists on the use of a bank of unknown input observers (UIO) that runs in each UAV in order to generate a set of residual signals, that will be used to perform the detection. To this end, we consider an extended version of the unicycle...
The paper proposes a decentralized method for fault detection and isolation in heterogeneous multi-agents systems. The agents are partitioned into independent nodes, providing the control inputs and monitoring the system, and dependent nodes, controlled by local interaction laws and subject to faults. The approach uses a decentralized state estimation algorithm allowing the independent nodes to estimate...
For processes which are modelled by polynomial equations, this paper shows how the algebra of polynomial rings can mathematically support the FDI system design. The basic principles of FDI extract, from the model, some fault indicators, called residuals, that can be computed from available information. In case of non linear residuals, the sensitivity of a residual to a given failure can't be ensured...
This paper presents the design of a methodology for detecting and isolating multiple sensor faults in large-scale interconnected nonlinear systems. For each of the interconnected subsystems, we design a local sensor fault diagnosis (LSFD) agent responsible for multiple sensor fault detection and isolation in the local sensor set. The multiple sensor fault detection is realized through a bank of modules,...
This paper presents a distributed fault detection and isolation scheme for multimachine power systems. Each generator is interconnected with other machines through a transmission network, where the interactions between directly interconnected machines are nonlinear. In the distributed FDI scheme, a local FDI component is designed for each generator excitation system in the overall system based on...
In this paper, a framework of distributed fault detection for network systems is developed. Specifically, a framework of distributed cyber attack detection system for synchronized large-scale power network is constructed, where active power flow in power network system is modeled by the swing equation and cyber attacks are modeled as unknown power generation or consumption. The approach is based on...
Software-based self-test (SBST) is increasingly used for testing processor cores embedded in SoCs, mainly because it allows at-speed, low-cost testing, while requiring limited (if any) hardware modifications to the original design. However, the method requires effective techniques for generating suitable test programs and for monitoring the results. In the case of processor core testing, a particularly...
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