A NEW FAULT PATTERN RECOGNITION METHOD BASED ON WPT AND DAGSVM

DOI10.1142/S1469026809002631zbMath1184.68456OpenAlexW2103026260MaRDI QIDQ3401834

Biqing Zeng, Guang-Ming Xian

Publication date: 1 February 2010

Published in: International Journal of Computational Intelligence and Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1142/s1469026809002631

zbMATH Keywords

fault diagnosiswavelet packet transformmulti-classdirected acyclic graph support vector machine

Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10)

Related Items (1)

APPLICATION OF GENETIC ALGORITHM-SUPPORT VECTOR MACHINE (GA-SVM) FOR DAMAGE IDENTIFICATION OF BRIDGE

Cites Work

• Unnamed Item
• Constructing support vector machine ensemble.
• A theory for multiresolution signal decomposition: the wavelet representation
• The wavelet transform, time-frequency localization and signal analysis

This page was built for publication: A NEW FAULT PATTERN RECOGNITION METHOD BASED ON WPT AND DAGSVM