Neural Networks Based System Identification Techniques for Model Based Fault Detection of Nonlinear Systems

Residual generation is an essential part of model-based fault detection schemes. For nonlinear systems, the task of residual generation is sometimes complicated by the size of the problem, or by the lack of a suitable model from where the residual can be generated. This paper develops and implements neural-networks based system identification techniques for… CONTINUE READING