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...
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| Published in | 2005 International Symposium on Intelligent Signal Processing and Communications Systems pp. 773 - 776 |
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| Main Authors | , |
| Format | Conference Proceeding |
| Language | English |
| Published |
IEEE
2005
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| Subjects | |
| Online Access | Get full text |
| ISBN | 0780392663 9780780392663 |
| DOI | 10.1109/ISPACS.2005.1595524 |
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| Abstract | 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. |
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| AbstractList | 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. |
| Author | Quan-Fang Wang Ruxu Du |
| Author_xml | – sequence: 1 surname: Quan-Fang Wang fullname: Quan-Fang Wang organization: Dept. of Autom. & Comput. Aided Eng., Chinese Univ. of Hong Kong, Shatin, China – sequence: 2 surname: Ruxu Du fullname: Ruxu Du organization: Dept. of Autom. & Comput. Aided Eng., Chinese Univ. of Hong Kong, Shatin, China |
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| Snippet | 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... |
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| SubjectTerms | Artificial neural networks Biomedical signal processing Computer aided engineering Condition monitoring Discrete Fourier transforms DNA Genetic mutations Manufacturing automation Manufacturing processes Signal processing algorithms |
| Title | A DNA algorithm for feature selection in condition monitoring of manufacturing processes |
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