·Table of Contents ·Computer Processing and Simulation | A Phase Deviation Based Split-spectrum Processing Algorithm for Ultrasonic Testing in Coarse Grained MaterialsLiu Zhenqing, Ta Dean, Liu Xiao(Institute of Acoustics, Tongji University, Shanghai 200092, P. R. China) Contact |
Fig 1: Theory of SSP. (a): spectrum split; (b): processing course. |
(1) |
(2) |
(3) |
(4) |
Fig 2: The processing course of SSP based on phase standard deviation |
Fig 3: The computer simulated signal in coarse grained material |
Fig 4-1: Filter number N=8 | Fig 4-2: Filter number N=16 | Fig 4-3: Filter number N=24 | Fig 4-4: Filter number N=32 |
Fig 4: The results of phase standard deviation algorithm |
Fig 5-1: Filter number N=8 | Fig 5-2: Filter number N=16 | Fig 5-3: Filter number N=24 | Fig 5-4: Filter number N=32 |
Fig 5: The results of minimization algorithm |
Fig 6: Block diagram of the experimental system | Fig 7: Experimental signal in coarse grained material |
Fig 8-1: Filter number N=8 | Fig 8-2: Filter number N=16 | Fig 8-3: Filter number N=24 | Fig 8-4: Filter number N=32 |
Fig 8: The results of phase standard deviation algorithm |
Fig 9-1: Filter number N=8 | Fig 9-2: Filter number N=16 | Fig 9-3: Filter number N=24 | Fig 9-4: Filter number N=32 |
Fig 9: The results of minimization algorithm |
© AIPnD , created by NDT.net | |Home| |Top| |