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A Displacement and Temperature Prediction Method of Eddy Current Sensor
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A technology of eddy current sensor and prediction method, which is applied to thermometers, thermometers and instruments using directly heat-sensitive electric/magnetic elements, etc., can solve the problems of difficult detection of ambient temperature and target displacement, and achieve high precision and low detection error small effect
Active Publication Date: 2021-11-16
XIAN UNIV OF TECH
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[0003] The purpose of the present invention is to provide a displacement and temperature prediction method of an eddy current sensor, which solves the problem that it is difficult to use an eddy current sensor to detect the ambient temperature and target displacement at the same time under high temperature conditions.
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Embodiment 1
[0061] Utilize the present invention to model and predict the data collected in experiments:
[0062] First, 5770 sets of data are collected, and all data sets S={S 1 ,S 2 ,…S n} (n=1, 2, 3...) is divided into 10 disjoint subsets evenly according to the number of data groups, then each subset has 577 groups of data. Secondly, from the divided 10 subsets, one subset is randomly selected as the test set, and the other 9 subsets corresponding to it are used as the training set;
[0063] Again, for the selected training set, first use the formula Normalize it and then model it using support vector regression algorithm;
[0064] Finally, the selected test set is substituted into the built model to predict the output variable displacement (x′ 1 ) or temperature (T′ 1 ), and shift the predicted output by (x′ 1 ) or temperature (T′ 1 ) and the actual experimental output data displacement x 1 or temperature T 1 Compare and verify the accuracy of the model.
[0065] Table 1 ...
Embodiment 2
[0069] First, 5775 sets of data are collected, and all data sets S={S 1 ,S 2 ,…S n} (n=1, 2, 3...) is divided into 15 disjoint subsets according to the number of data sets, and each subset has 385 sets of data.
[0070] Secondly, from the divided 15 subsets, one subset is randomly selected as the test set, and the other 14 subsets corresponding to it are used as the training set;
[0071] Again, for the selected training set, first use the formula Normalize it and then model it using support vector regression algorithm;
[0072] Finally, the selected test set is substituted into the built model to predict the output variable displacement (x′ 1 ) or temperature (T′ 1 ), and shift the predicted output by (x′ 1 ) or temperature (T′ 1 ) and the actual experimental output data displacement x 1 or temperature T 1 Compare and verify the accuracy of the model.
[0073] Table 2 is the result predicted by the present invention. It can be seen from the results in Table 2 that...
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Abstract
The invention discloses a displacement and temperature prediction method of an eddy current sensor. Firstly, at an ambient temperature of 25°C to 400°C, the displacement measured by the eddy current sensor is controlled to be 0mm to 60mm in sequence at each specific temperature value. Under the displacement value, collect the frequency, quality factor and inductance value of the eddy current sensor coil; then select the data training set and data test set; normalize the selected data, and use the support vector regression algorithm to model; finally use The selected test set data is substituted into the model built in step 3, and the predicted variables displacement and temperature are output. The invention solves the problem that it is difficult to simultaneously detect the ambient temperature and the target displacement by using the eddy current sensor under the condition of high temperature in the existing actual engineering.
Description
technical field [0001] The invention belongs to the technical field of high-temperature nondestructive testing, and in particular relates to a displacement and temperature prediction method of an eddy current sensor. Background technique [0002] With the rapid development of industrial technology, testing has become an indispensable link in the entire industrial production process. Especially in some specific high-temperature environments, such as billet position detection in the steel plant production workshop, height detection of the glass coater in the glass production workshop, and seal gap detection in the air preheater of the power plant boiler, etc., their target temperature is the highest. It can reach 700°C, which brings great difficulties to precise detection. The eddy current sensor is a non-destructive displacement sensor. Because of its advantages of corrosion resistance, high temperature resistance and high precision, it is widely used in high temperature and...
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