TY  - JOUR
T1  - FDI by Parameter Estimation Based on CLFRT
AU - , Ferreiro Garcia Ramon AU - , Manuel Haro Casado 
JO  - Journal of Engineering and Applied Sciences
VL  - 2
IS  - 6
SP  - 1027
EP  - 1037
PY  - 2007
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2007.1027.1037
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2007.1027.1037
KW  - Backpropagation
KW  -conjugate gradient
KW  -fault detection
KW  -fault isolation
KW  -frequency response
KW  -neural networks
KW  -parameter estimation
AB  - 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.
ER  -