Device and method for online testing of sensor performance based on multi-threshold wavelet under strong interference
A sensor and strong interference technology, applied in instruments and other directions, can solve the problems of poor signal-to-noise ratio, large manual recording error, low labor efficiency, etc., to achieve the effect of clear and accurate test results, easy operation, and maintaining fidelity
Inactive Publication Date: 2018-04-03
CHANGAN UNIV
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use Indicates the j-th layer threshold determined by the Stein unbiased risk threshold method, relatively fixed threshold More flexible, when the signal is reconstructed, as the noise increases, this threshold selection method can include more detailed wavelet coefficients, but it has no advantage in improving the signal-to-noise ratio
[0005] In addition, when the existing sensor tester tests the sensor, it can only measure one sensor at a time through manual wiring. , requiring repeated labor by the operator several times, the labor efficiency is low, and the measured data is interfered by the manual operation level, which is extremely inaccurate and increases the production cost
[0006] After a large number of sensors are measured, the data needs to be recorded and formed into a group for subsequent industrial applications. In the existing technology, it can only be done manually. Manually recording the data of each product is not only labor-intensive, but also manually recorded. The error is large, and there may be errors or omissions in the records.
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[0116] Taking the pressure sensor as an example, the specific implementation steps are as follows:
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Abstract
The invention relates to a device and method for online automatic testing of sensor performance based on multi-threshold wavelets in a strong interference environment. First, the environmental parameter signals of the test points detected by the sensor are filtered and collected; The signal is subjected to noise reduction processing. First, wavelet decomposition is performed to obtain the wavelet coefficients, and the degree of membership of each wavelet coefficient is obtained. The wavelet coefficients whose membership degree exceeds the preset threshold are discarded, and the wavelet coefficients whose membership degree is within the threshold are used for wavelet analysis. Reconstruct to obtain the detection data after noise reduction, calculate the sensor characteristic index according to the detection data after noise reduction and the environmental parameter value of the test point, and complete the online automatic test of sensor performance. The present invention combines filtering and fuzzy multi-threshold wavelet transformation to perform noise reduction processing. After noise reduction, the signal outline is more obvious and clear without loss of detail signal, the fidelity with the original signal is maintained, and the signal-to-noise ratio of the signal increases significantly.
Description
technical field [0001] The invention belongs to the field of sensor performance testing, and in particular relates to an online automatic testing device and method for sensor performance based on multi-threshold wavelets in a strong interference environment. Background technique [0002] With the development of science and technology and the popularization and application of electronic equipment, electronic science and technology have penetrated into various fields. Electronic and electrical equipment have been widely used in people's daily life, various sectors of the national economy, resource development, space exploration, national defense construction and so on. Electronic and electrical equipment is not only increasing in quantity and variety, but also developing rapidly in the direction of digitization, high speed and networking. When these electronic devices work, they often generate some useful or useless electromagnetic energy, which may affect themselves or other...
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Patent Type & Authority Patents(China)
IPC IPC(8): G01D18/00
Inventor 高涛冯兴乐吴晓龙倪策程飞薛国伟
Owner CHANGAN UNIV
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