Application of hybrid wavelet neural network for missile fault diagnosis system

Jun Hu; Guiyan Li; Shaowen Jia

doi:10.1117/12.775216

10 November 2007 Application of hybrid wavelet neural network for missile fault diagnosis system

Jun Hu, Guiyan Li, Shaowen Jia

Proceedings Volume 6795, Second International Conference on Space Information Technology; 679564 (2007) https://doi.org/10.1117/12.775216
Event: Second International Conference on Spatial Information Technology, 2007, Wuhan, China

Abstract

In missile weapon system, exact fault prediction and diagnosis is very important for missile security, according to the specialty and complexity of the missile fault diagnosis, a novel expert system design method based on the hybrid neural network ensembles is proposed in this paper. To improve the limitation of applying traditional fault diagnosis method to the diagnosis method of the diagnosis of missile fault, with large amounts of typical missile fault samples and raw measurable parametric data available, the missile fault diagnosis system based on wavelet neural network ensembles can be created applying general construction techniques of the wavelet neural network fault diagnosis system, including signal binary wavelet transform, fault feature extraction/selection and network training. The back-propagation (BP) algorithm is used to fulfill the parameter initialization and the neural network structure (WNN). By means of choosing enough practical samples to verity the wavelet neural network (WNN) and the information representing the faults is inputted into the trained WNN, and according to the output result the type of fault can be determined. It's proved that through diagnosis of the missile from several different sides by use of different parameters the diagnosis result is more reliable. The method can be generalized to other devices' fault diagnosis.

Citation Download Citation

Jun Hu, Guiyan Li, and Shaowen Jia "Application of hybrid wavelet neural network for missile fault diagnosis system", Proc. SPIE 6795, Second International Conference on Space Information Technology, 679564 (10 November 2007); https://doi.org/10.1117/12.775216

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available