Application of Wavelet Transform and Data Fusion Algorithm on Mixing and Supplying Glue System
Mixing and supplying glue system for the particleboard 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.
Wavelet transform Data fusion Mixing and supplying glue Particleboard
Liu Desheng Cao Jun
School of Electromechanical Engineering,Northeast Forestry University,Harbin 150040,China;School of School of Electromechanical Engineering,Northeast Forestry University,Harbin 150040,China
国际会议
深圳
英文
181-185
2008-12-10(万方平台首次上网日期,不代表论文的发表时间)