Ferreiro Garcia Ramon  , Manuel Haro Casado  , 
    FDI by Parameter Estimation Based on CLFRT,
    Journal of Engineering and Applied Sciences,
    Volume 2,Issue 6,
    2007,
    Pages 1027-1037,
    ISSN 1816-949x,
    jeasci.2007.1027.1037,
    (https://makhillpublications.co/view-article.php?doi=jeasci.2007.1027.1037)
    Abstract: Most of non-linear type one and type two control systems suffers from lack of detectability when model based techniques are applied on FDI tasks. This research is centered on a strategy based on Closed Loop Frequency Response Test (CLFRT) to estimate plant parameters which includes massive neural networks based functional approximation procedures. Nominal plant parameters are matched against on-line estimated parameters on a parity space approach. The strategy to carry out this task consists in Developing a fault tolerant data acquisition strategy to achieve a database to be used in neural networks training. Proposing and implementing a methodology to estimate plant parameters by functional approximation based on backpropagation neural networks.
    Keywords: Backpropagation;conjugate gradient;fault detection;fault isolation;frequency response;neural networks;parameter estimation