Article,
Online modelling based on Genetic Programming
International Journal of Intelligent Systems Technologies and Applications, 2 (2/3): 255--270 (19 February 2007)
DOI: doi:10.1504/IJISTA.2007.012487
Abstract
Genetic Programming (GP), a heuristic optimisation
technique based on the theory of Genetic Algorithms
(GAs), is a method successfully used to identify
non-linear model structures by analysing a system's
measured signals. Mostly, it is used as an offline tool
that means that structural analysis is done after
collecting all available identification data. In this
paper, we propose an enhanced on-line GP approach that
is able to adapt its behaviour to new observations
while the GP process is executed. Furthermore, an
approach using GP for online Fault Diagnosis (FD) is
described, and finally test results using measurement
data of NO<SUB align=right><SMALL>x</SMALL></SUB>
emissions of a BMW diesel engine are discussed.
Tags
- algorithms,
- automatic
- data
- diagnosis,
- driven
- fault
- genetic
- gp,
- identification,
- learning,
- machine
- model
- modelling,
- online
- programming,
- real
- self-adaption,
- time
