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In this paper, optimization technique based on Ants Colony Algorithms (ACA) was studied for test node selection. The technique yields high faults detection and isolation rates with less number of nodes. This concept can also be applied in the domain of fault dictionary. In the technique proposed, the objective function consists of the fault detection rate defined as the number of faults detected divided...
As an important component of Dynamic System, actuators are generally nonlinear and its output is immeasurable. It is a challenging problem for Fault Diagnosis (FD) when a partial LOE fault occurs in the actuator. Aiming at this problem, a novel nonlinear adaptive observer (NAO) is proposed to estimate the actuator output and diagnosis fault. Finally, the proposed FD scheme is applied in a high-fidelity...
This paper presents a fault diagnosis (FD) scheme for a class of nonlinear dynamic systems using a novel Grey-Box Neural Network Model (GBNNM). In this GBNNM, a composite structure, including MLP (multi-layer perception) NN (Neural Network) and integer term, is proposed to approximate both nonlinearity and dynamics of object system. Its approximation ability is then proved theoretically. And a self-defined...
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