Title :
A wavelet packet diagnosis system based on rough set theory
Author :
Yingkai Sun ; Hai Chen
Author_Institution :
South China Household Appliances Inst., Foshan, China
Abstract :
The wavelet packet analysis was adopted in acquisition of fault diagnosis system´s characteristic parameter. The application of rough set theory in parameter´s attribute optimization was explored. The unnecessary attributes were eliminated with reduction algorithm. The inner redundancy of fault diagnosis system´s condition attributes is revealed. The complexity of neural network´s structure is also decreased. The result of attribute reduction is given finally.
Keywords :
fault diagnosis; knowledge acquisition; neural nets; rough set theory; wavelet transforms; fault diagnosis system characteristic parameter; neural network structure; optimization; rough set theory; wavelet packet diagnosis system; Artificial intelligence; Rough sets; Vibrations; Wavelet analysis; Wavelet packets;
Conference_Titel :
Advanced Computational Intelligence (ICACI), 2012 IEEE Fifth International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4673-1743-6
DOI :
10.1109/ICACI.2012.6463164
