Title :
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
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;
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
DOI :
10.1109/ISSCAA.2008.4776166
