DocumentCode
538840
Title
Wavelet Neural Network Based on Modified Particle Swarm Optimization and Its Application in Fault Diagnosis
Author
Ying, Liu ; Jie, Liu ; Hongxia, Pan
Author_Institution
Key Lab. of High Speed Cutting & Precision Machining, Tianjin Univ. of Technol. & Educ., Tianjin, China
Volume
1
fYear
2010
fDate
16-17 Dec. 2010
Firstpage
59
Lastpage
62
Abstract
A compound model PSO with stochastic inertia weight is put forward and used to optimize the parameters of wavelet neural network. The trained wavelet neural-network is applied to choosing tested position of gearbox. It is an available approach to solve the problems on extracting fault characteristic values and choosing appropriate tested positions in fault diagnosis.
Keywords
fault diagnosis; neural nets; particle swarm optimisation; wavelet transforms; PSO; fault characteristic; fault diagnosis application; particle swarm optimization; stochastic inertia weight; wavelet neural network; Artificial neural networks; Fault diagnosis; Gears; Particle swarm optimization; Sensors; Teeth; Training; PSO; fault diagnosis; neural-network; wavelet;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Systems (GCIS), 2010 Second WRI Global Congress on
Conference_Location
Wuhan
Print_ISBN
978-1-4244-9247-3
Type
conf
DOI
10.1109/GCIS.2010.260
Filename
5708713
Link To Document