Identi " cation of fuzzy relational models for fault detection

@inproceedings{Gissinger2017IdentiC,
  title={Identi " cation of fuzzy relational models for fault detection},
  author={G. L. Gissinger and Philipp Amann and Jean-Marc Perronne and Paul M. Frank},
  year={2017}
}
This paper presents the concept of fuzzy relational models for use in a fuzzy output estimator. A suitable "eld of application is in fault diagnosis, where output observation rather than state observation is needed for the generation of fault re#ecting residual signals. Due to their non-linear structure, fuzzy relational models can be used appropriately for… CONTINUE READING