Research Characteristics Of The Mine Fan Test Virtual Instrument Based On Neural Network

Researching the mine fan virtual instrument test system is important to ensure mine safety production and to actualize mine fixed equipment synthesis testing, and to decrease the test cost. After finishing the design of virtual instrument system, this paper analyzes the static and dynamic characteristics of the mine fan test virtual instrument also.In the course of the study to static characteristics, programming the LabVIEW data analysis procedures based on the static performance algorithm of testing system, and designing the static characteristic experiment to gain some static dates, and inputting those experimental data to the LabVIEW data analysis procedures, which may analyze the static characteristic parameters of the mine fan test virtual instrument, including sensitivity, nonlinearity, hysteretic error and accuracy. Through the experimental analysis, the mine fan test virtual instrument has excellent static characteristics.In the course of the study to dynamic characteristics, using the neural network algorithm studies the mathematical model of the mine fan test virtual instrument. First of all, through the analysis of the experimental method, getting the virtual instrument system estimation model, and identifying the estimation model by neural network algorithm of the adaptive linear neuron, which can research the mathematical model of virtual instrument. Based on the step response method of system, designing experiment can verify that the virtual instrument system mathematical model is right. Through the analysis to mathematical model, it can obtain the dynamic characteristics of virtual instrument including the system stability, response time and bandwidth, and determine the virtual instrument system response time and bandwidth, and those results show that the mine fan test virtual instrument has good dynamic characteristics. Above all, the study of dynamic characteristics of the virtual instrument not only provides a theoretical basis for the design of test system, but also establishes a theoretical basis to the application of neural network algorithm in virtual instrument test system.Finally, the paper had made some experiments to test the correctness of the mine fan test virtual instrument application to the entire test system. In the experiment, changing the angle of throttle baffle may change the running conditions of mine fan, and recording experimental data, and drawing out the fan performance curve. The results show that the fan test system based on the virtual instrument can meet the requirements of the test, and show that the mine fan test virtual instrument can be used for field testing.