Monitoring of oscillatory characteristics of pulverised coal flames through image processing and spectral analysis

G. Lu, Yong Yan, M. Colechin, R. Hill
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引用次数: 9

Abstract

This paper presents the monitoring of the oscillatory characteristics of pulverised coal flames using image processing and spectral analysis techniques. The instrumentation system employed in this investigation is as an integral part of a multi-functional flame monitoring system, being capable of monitoring oscillatory frequencies of a flame on a two-dimensional and concurrent basis. A quantitative flicker frequency is defined as the power-density-weighted mean frequency over the spectral range to represent the oscillatory characteristics of a specific region of the flame. A series of tests was undertaken on an industrial-scale coal-fired combustion test facility under a range of operating conditions. Relationships between the measured flame flicker and the process data including emissions are identified. Results obtained demonstrate that the flame flicker responds in predictable ways to the effects of operating conditions on the dynamic nature of the flame.
通过图像处理和光谱分析监测煤粉火焰的振荡特性
本文介绍了利用图像处理和光谱分析技术监测煤粉火焰的振荡特性。本研究中使用的仪器系统是多功能火焰监测系统的一个组成部分,能够在二维和并发的基础上监测火焰的振荡频率。定量闪烁频率被定义为在光谱范围内的功率密度加权平均频率,以表示火焰特定区域的振荡特性。在一系列操作条件下,在工业规模的燃煤燃烧试验设施上进行了一系列试验。确定了测量的火焰闪烁与过程数据(包括排放)之间的关系。得到的结果表明,火焰闪烁以可预测的方式响应操作条件对火焰动态特性的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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