Design of Automatic Particle Noise Detection System for Components Based on LabVIEW
Concerning the traditional Particle Impact Noise Detection(PIND)method,issues such as complex test conditions,excessive human involvement,lack of standardization,and being time-consuming and laborious have made it difficult to meet the demands of large-scale component PIND testing.This paper develops an automatic PIND detection program based on the LabVIEW platform,establishing communication between testing instruments and computers through the VISA serial port.This program can automatically match test conditions based on the device cavity height provided by the user,control the excitation state of the vibration table,conduct real-time acquisition and offline analysis of the residual signals generated during the vibration,and determine the presence or absence of residual.Additionally,it utilizes neural network scripts to identify the material information of the residual.