Fuzzy information space characterization and analysis of the combustion processes in spark ignition engines

Author

Rodriguez, Wladimir ; Narciso, Flor

Author_Institution

Comput. Sci. Departament, Univ. de Los Andes, Merida, Venezuela

Volume

1

fYear

2002

fDate

6/24/1905 12:00:00 AM

Firstpage

41

Lastpage

45

Abstract

The main objective of the paper is the development of an approach, that allows us to study complex problems by means of their behavior similarities. In particular for the study of combustion in spark ignition engines, with variations of the parameters and the operational conditions, first we establish a set of known patterns to be later compared with sets of combustion data, with the purpose of establishing the similarity of the patterns and the combustion data. Then, we make inferences of the conditions or functional state of the engines at any moment. We also present a method for the analysis of signals and systems based on the theory of temporal fuzzy sets and pattern recognition, by modeling the trajectories of dynamical systems in the fuzzy information space

Keywords

combustion; fuzzy set theory; internal combustion engines; pattern clustering; behavior similarities; combustion processes; dynamical systems; functional state; fuzzy information space characterization; operational conditions; pattern recognition; signals analysis; spark ignition engines; temporal fuzzy sets; Combustion; Engines; Fuzzy set theory; Fuzzy sets; Ignition; Information analysis; Pattern analysis; Pattern recognition; Signal analysis; Sparks;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems, 2002. FUZZ-IEEE'02. Proceedings of the 2002 IEEE International Conference on

Conference_Location

Honolulu, HI

Print_ISBN

0-7803-7280-8

Type

conf

DOI

10.1109/FUZZ.2002.1004956

Filename

1004956