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Detecting faults in a hydraulic system using neural network and observer approaches.

Shields D.N., Du S., Gaura E.

Systems Science

2002

Vol. 28, nr 1

85-106

A robust fault detection observer (RFDO), which includes a robust residual, is designed for a general nonlinear system with polynomial-type nonlinearities. Two main theoretical results are given for the existence, stability and the detectability of the RFDO. The approach is applied to a three-tank hydraulic system where two fault scenarios are considered. Three different degree observers, with corresponding residuals, are assessed. This observer approach is then compared to the performance of a neural network approach under the same fault conditions.