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

Han, Xiaojuan and Cheng, Cheng and Chen, Yueyan and Yan, Yong (2012) Monitoring of oxygen content in flue gas at coal fired power plant using cloud modeling techniques. In: 2012 IEEE International Instrumentation and Measurement Technology Conference Proceedings. pp. 839-843. (doi:https://doi.org/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)

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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)
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: 31 Oct 2013 12:14 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/35876 (The current URI for this page, for reference purposes)
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