Title :
Wavelet Neural Network Based on Modified PSO and Its Application in Fault Diagnosis of Gearbox
Author :
Ying, Liu ; Jie, Liu ; Hongwei, Mao ; Hongxia, Pan
Author_Institution :
Tianjin Key Lab. of High Speed Cutting & Precision Machining, Tianjin Univ. of Technol. & Educ., Tianjin, China
Abstract :
A modified particle swarm optimization--compound model PSO with stochastic inertia weigh is put forward and used to optimize the parameters of wavelet neural network. The trained wavelet neural-network is applied to the fault diagnosis experiment of gearbox. The experimental result indicates that the wavelet neural-network training method based on the modified PSO is effective. This is an available approach to solve the problems on condition monitoring and fault diagnosis.
Keywords :
condition monitoring; fault diagnosis; gears; learning (artificial intelligence); mechanical engineering computing; neural nets; particle swarm optimisation; stochastic processes; wavelet transforms; condition monitoring; gearbox fault diagnosis; modified PSO; modified particle swarm optimization; stochastic inertia weigh; wavelet neural-network training method; Computer networks; Condition monitoring; Educational technology; Fault diagnosis; Laboratories; Machining; Neural networks; Particle swarm optimization; Stochastic processes; Wavelet analysis;
Conference_Titel :
Natural Computation, 2009. ICNC '09. Fifth International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-0-7695-3736-8
DOI :
10.1109/ICNC.2009.485
