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Research On Dynamic Measurement Errors Compensation Arithmetic Of Transient Surface Temperature Sensor

Posted on:2009-03-21Degree:MasterType:Thesis
Country:ChinaCandidate:Y ZhangFull Text:PDF
GTID:2178360245971193Subject:Measuring and Testing Technology and Instruments
Abstract/Summary:PDF Full Text Request
Against the background of transient temperature measurement, the research work about technology of wavelet filtration, dynamic modeling and measurement errors compensation, correlatively to the topic of the dynamic characteristics and its improvement of the surface temperature sensor, is described in detail. It includes experimental and simulation research.Firstly, the study actuality of transient temperature measurement, dynamic modeling and dynamic measurement errors compensation is introduced. Transient temperature is important to the weaponry measurement and other fields. But the transient temperature varies fast and the measurement environment is unfavorable. The response speed of sensor is quicker than the transient temperature varying speed and there are great dynamic errors between measured results and the real signal for the thermal inertia and finite thermal conduct of the sensor. There are great development in dynamic modeling and dynamic errors compensation, and lots of correlative research findings are presented. Then the cause for dynamic errors and its effect is studied, and the dynamic property of measurement system is also analyzed. Then, the paper introduces the definition and principle of wavelet filtering, analyzes three kinds of wavelet filtering, and simulates with wavelet thresholding. As the method of confirming threshold is different, filtering effect of the signal is different too. And using wavelet thresholding filter reconstructs the signal, what is compared with original signal. Then, according to the requirement of input signal, application of existing dynamic calibration system of transient surface temperature sensor, using the CHAL-010 thermocouple of OMEGA companies, Wavelet filtering the dynamic calibration of In/Out data, and using the reconstruction of the data, the model of this temperature measurement system is constructed with the system identification method and the validity of this method is also testified by the cross-validation method. Finally the inverse filterer method, proposed by Dr. Nahman and Guillaume, is used to compensate the temperature measurement system, and the system dynamic property is amended: the dynamic errors are reduced and the work bandwidth is widened evidently. The compensation results are also provided.
Keywords/Search Tags:Surface Temperature Sensor, Dynamic Calibration, Dynamic Compensation, wavelet filtration, System Identification
PDF Full Text Request
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