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Detecting the Blockage of the Sensing Lines of a Differential-Pressure Flow Sensor in a Dynamic Process Using Wavelet Transform Techniques

Zhang, Jian Qui, Yan, Yong (2006) Detecting the Blockage of the Sensing Lines of a Differential-Pressure Flow Sensor in a Dynamic Process Using Wavelet Transform Techniques. IEEE Transactions on Instrumentation and Measurement, 55 (4). pp. 1443-1448. ISSN 0018-9456. (doi:10.1109/TIM.2006.876386) (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) (KAR id:9714)

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.
Official URL:
http://dx.doi.org/10.1109/TIM.2006.876386

Abstract

The blockage of the sensing lines of a differential-pressure (DP) flow sensor has been found to be the main cause of a malfunction of a flow measurement system in many industrial applications. In this paper, the blockage of the sensing lines under dynamic process conditions is investigated using wavelet transform techniques. The results obtained show that the blockage in a fast changing process is only detectable when the severity of the blockage is over 90%. This outcome differs from that when the sensor operates under a slow varying process. The main reason resulting in the discrepancy between slow and fast varying processes is that a process with high flow rates produces more noise energy in the output of the sensor than a process with low flow rates does. This means that the noise energy generated by the blockage of the sensor under low flow-rate conditions is indistinguishable with that from the output of the sensor working under the sensor normal operating conditions but a process with high flow rates.

Item Type: Article
DOI/Identification number: 10.1109/TIM.2006.876386
Subjects: T Technology > TA Engineering (General). Civil engineering (General) > TA165 Engineering instruments, meters etc. Industrial instrumentation
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: Yiqing Liang
Date Deposited: 12 Sep 2008 07:26 UTC
Last Modified: 16 Nov 2021 09:48 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/9714 (The current URI for this page, for reference purposes)

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