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Monitoring of oxygen content in flue gas at coal fired power plant using cloud modeling techniques

Han, Xiaojuan, Cheng, Cheng, Chen, Yueyan, Yan, Yong (2012) Monitoring of oxygen content in flue gas at coal fired power plant using cloud modeling techniques. In: Instrumentation and Measurement Technology Conference, 13-16 May 2012, Graz, Austria. (doi:10.1109/I2MTC.2012.6229422) (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/10.1109/I2MTC.2012.6229422

Abstract

The accurate measurement of oxygen content in flue gas at coal fired power plant is important for realizing closed-loop control and optimization of combustion processes. A cloud model is incorporated into the measurement of oxygen content in flue gas. A qualitative and quantitative transformation fusion model based on the cloud model theory is established. The oxygen content in flue gas from real-time measurement at coal fired power plant is estimated using traditional arithmetic average, weighted mean fusion method as well as cloud model theory. Practical tests were undertaken to determine the oxygen content in the flue gas by using the three methods for practical operating data. The test results show that the proposed method produces more accurate measurement values than the one given by the arithmetic mean of a finite number of sensors.

Item Type: Conference or workshop item (Paper)
DOI/Identification number: 10.1109/I2MTC.2012.6229422
Subjects: T Technology
Divisions: Faculties > Sciences > School of Engineering and Digital Arts
Faculties > Sciences > School of Engineering and Digital Arts > Instrumentation, Control and Embedded Systems
Depositing User: Tina Thompson
Date Deposited: 31 Oct 2013 12:14 UTC
Last Modified: 29 May 2019 11:13 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/35876 (The current URI for this page, for reference purposes)
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