Research on sensor based signal acquisition and processing technology for industrial instruments
In the face of the non-stationary nature of industrial instrument signals,research on sen-sor based industrial instrument signal acquisition and processing technology is needed to enhance the sig-nal acquisition and processing capabilities of industrial instruments.By collecting industrial instrument signals through multiple sensors,an improved adaptive fusion algorithm is used to fuse the industrial in-strument signals collected by multiple sensors.By analyzing the industrial instrument signal of the fused sensor using the Hilbert Huang transform method,the industrial instrument signal is decomposed into multiple IMF components using empirical mode decomposition.After implementing the Hilbert transform on each component,the Hilbert marginal spectrum and Hilbert spectrum are obtained,achieving the ac-quisition and processing of industrial instrument signals.The experimental results show that the sensitivity of the sensors in this method is higher than 0.9(v/℃),and sensors with high sensitivity can more accu-rately perceive and measure changes in physical quantities of industrial instruments.The average meas-urement error of this method is less than 0.42％,which meets the requirements of industrial instrument signal acquisition and processing,and improves the ability of industrial instrument signal acquisition and processing.
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维普
