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On-Line Validation of the Measurement Uncertainty of a Sensor using Wavelet Transforms

Zhang, Jian Qui, Yan, Yong (2001) On-Line Validation of the Measurement Uncertainty of a Sensor using Wavelet Transforms. IEE Proceedings: Science, Measurement and Technology, 148 (5). pp. 210-214. ISSN 1350-2344. (doi:10.1049/ip-smt:20010531) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL
http://dx.doi.org/10.1049/ip-smt:20010531

Abstract

The measurement uncertainty of a sensor as a measure of its accuracy is normally derived through static analysis. Conventionally, uncertainty analysis is conducted during the design and development stage of a sensor to select appropriate components and measurement techniques, as well as interpreting its experimental data. The demand for quality assurance by measurement is now increasing. It is therefore desirable to develop a means of assessing the measurement uncertainty of a sensor during its operation on a process plant. A new method using wavelet transforms for the validation of the measurement uncertainty is proposed. Analytical results show that the process variable being measured by the sensor can be separated from a noisy raw sensor signal using its wavelet transforms, provided that the process variable is represented in terms of a limited-degree polynomial function. Unlike the conventional approach to uncertainty calculation, which requires 'average' or 'typical' values substituted for parameters which may vary, the proposed method uses only the latest output of the sensor regardless of the variations of the parameters, and thus can be applied on an online continuous basis. Experimental results obtained from a differential-pressure flow sensor on a water flow test rig confirm the effectiveness of the proposed method.

Item Type: Article
DOI/Identification number: 10.1049/ip-smt:20010531
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics (see also: telecommunications)
Divisions: Faculties > Sciences > School of Engineering and Digital Arts > Instrumentation, Control and Embedded Systems
Depositing User: Yiqing Liang
Date Deposited: 02 Nov 2008 14:46 UTC
Last Modified: 05 Jun 2019 14:59 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/7079 (The current URI for this page, for reference purposes)
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