锅炉动态测量分析:一种实用方法

Timothy A. Fuller , Thomas J. Flynn , C. Stuart Daw
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引用次数: 7

摘要

在经济压力和政府排放法规的推动下,电力行业正朝着更严格地控制锅炉的方向发展,以提高工厂效率并减少排放。更严格的控制取决于更好的锅炉诊断工具,特别是用于区分动态模式并将这些模式与整体性能相关联。研究表明,将传统的数据分析技术与混沌时间序列分析相结合,可以更好地识别锅炉的动态模式。介绍了建议的分析工具和数据采集程序,以及加压流化床和低x煤粉锅炉测量的示例结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of dynamic boiler measurements: A practical approach

Driven by economic pressures and government emission regulations, the electric power industry is moving toward tighter control of boilers to improve plant efficiency and reduce emissions. Tighter control depends on better boiler diagnostic tools, especially for discriminating dynamic patterns and correlating those patterns with overall performance. Our research indicated that improved discrimination of dynamic pattern in boilers can be achieved by combining traditional data analysis techniques and chaotic time series analysis. Suggested analysis tools and data acquisition procedures are described, along with example results for measurements from a pressurized fluidized bed and a lowx pulverized coal boiler.

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