A new fault-detection system for nonlinear systems based on an interval fuzzy model
作者： Simon Oblak , Igor Skrjanc , Saso Blazic
DOI: 10.23919/ECC.2007.7068930
关键词:
摘要: The paper proposes a new fault-detection scheme for nonlinear input-output systems with uncertain interval-type parameters. Using high-pass filter detecting the system's steady-state conditions, one is able to build confidence band of data system in normal operating mode. can be seen as an approximation mapping including effects uncertainties. By approximating boundary functions using interval fuzzy model (INFUMO), we are simple and effective based on boundary-crossing test logical relations. An example pH neutralization process presented demonstrate benefits proposed method.
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