Application of wavelet transform and data fusion algorithm on mixing and supplying glue system

Author

Desheng, Liu ; Jun, Cao

Author_Institution

Sch. of Electromech. Eng., Northeast Forestry Univ., Harbin

fYear

2008

fDate

10-12 Dec. 2008

Firstpage

1

Lastpage

5

Abstract

Mixing and supplying glue system for the particle board manufacturing is a critical process, transient and noise signals seriously affect the accuracy of sensor and the stability of system. In view of this problem, data fusion algorithm based on wavelet transform is proposed. Transient and noise signals are detected and eliminated using one-dimensional wavelet decomposition, the two types of homogeneous sensors are integrated by arithmetic average estimate recursive algorithm. Simulation results show that the wavelet transform is very easy to achieve precise detection of transient signals, integration model has a high accuracy and fault-tolerance.

Keywords

adhesive bonding; adhesives; fault tolerant computing; mixing; production engineering computing; sensor fusion; sheet materials; wavelet transforms; wood processing; wood products; accuracy; arithmetic average estimate recursive algorithm; data fusion algorithm; fault-tolerance; glue system; homogeneous sensors; mixing; noise signals; one-dimensional wavelet decomposition; particleboard manufacturing; sensor; stability; transient signals; wavelet transform; Arithmetic; Fault detection; Fault tolerance; Manufacturing processes; Recursive estimation; Sensor systems; Signal detection; Signal processing; Stability; Wavelet transforms; Data fusion; Mixing and supplying glue; Particleboard; Wavelet transform;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems and Control in Aerospace and Astronautics, 2008. ISSCAA 2008. 2nd International Symposium on

Conference_Location

Shenzhen

Print_ISBN

978-1-4244-3908-9

Electronic_ISBN

978-1-4244-2386-6

Type

conf

DOI

10.1109/ISSCAA.2008.4776166

Filename

4776166