@article{MAKHILLJEAS20072612769,
    title = {FDI by Parameter Estimation Based on CLFRT},
    journal = {Journal of Engineering and Applied Sciences},
    volume = {2},
    number = {6},
    pages = {1027-1037},
    year = {2007},
    issn = {1816-949x},
    doi = {jeasci.2007.1027.1037},
    url = {https://makhillpublications.co/view-article.php?issn=1816-949x&doi=jeasci.2007.1027.1037},
    author = {Ferreiro Garcia Ramon and},
    keywords = {Backpropagation,conjugate gradient,fault detection,fault isolation,frequency response,neural networks,parameter estimation},
    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.}
    }