A DNA algorithm for feature selection in condition monitoring of manufacturing processes

This paper proposes a DNA based algorithm for signal processing in condition monitoring of manufacturing processes. Its goal is to find the 'DNA' (feature) of monitoring signal through DNA encoding and analysis. Furthermore, features selection is implemented for vibration signal collecting...

Full description

Saved in:
Bibliographic Details
Published in2005 International Symposium on Intelligent Signal Processing and Communications Systems pp. 773 - 776
Main Authors Quan-Fang Wang, Ruxu Du
Format Conference Proceeding
LanguageEnglish
Published IEEE 2005
Subjects
Artificial neural networks
Biomedical signal processing
Computer aided engineering
Condition monitoring
Discrete Fourier transforms
DNA
Genetic mutations
Manufacturing automation
Manufacturing processes
Signal processing algorithms
Online AccessGet full text
ISBN0780392663
9780780392663
DOI10.1109/ISPACS.2005.1595524

Cover

More Information
Summary:This paper proposes a DNA based algorithm for signal processing in condition monitoring of manufacturing processes. Its goal is to find the 'DNA' (feature) of monitoring signal through DNA encoding and analysis. Furthermore, features selection is implemented for vibration signal collecting from the injection molding machine to verify the DNA algorithm.
ISBN:0780392663
9780780392663
DOI:10.1109/ISPACS.2005.1595524