OpenFields

Fuzzy model validation using the local statistical approach

The local statistical approach for fault detection and isolation is applied to fuzzy models validation

Year of Publication2009

The local statistical approach for fault detection and isolation is applied to fuzzy models validation. The method detects the inconsistencies between a fuzzy rule base and the modelled system. It can also identify which are the faulty parameters of the fuzzy model. The Fisher information matrix explains the detectability of changes in the parameters of the fuzzy model. Simulation tests illustrate the method's credibility.

Citation

Rigatos, G.; Zhang, Q. (2009) "Fuzzy model validation using the local statistical approach"Fuzzy Sets and Systems 60 (7) pp 882-904

This item is categorised as follows

• Subject Collection > Equipment > Operation

Additional keywords/tags

fuzzy modellinglocal statistical approachfisher information matrixdetectabilityfault detection and isolation