|本期目录/Table of Contents|

[1]陈红江,彭小兰.突变级数法在电站燃煤锅炉结渣预测中的应用[J].中国安全生产科学技术,2014,10(8):97-102.[doi:10.11731/j.issn.1673-193x.2014.08.017]
 CHEN Hong-jiang,PENG Xiao-lan.Application of catastrophe progression method in forecasting slagging of coal-fired boiler[J].JOURNAL OF SAFETY SCIENCE AND TECHNOLOGY,2014,10(8):97-102.[doi:10.11731/j.issn.1673-193x.2014.08.017]
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突变级数法在电站燃煤锅炉结渣预测中的应用
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《中国安全生产科学技术》[ISSN:1673-193X/CN:11-5335/TB]

卷:
10
期数:
2014年8期
页码:
97-102
栏目:
职业安全卫生管理与技术
出版日期:
2014-08-31

文章信息/Info

Title:
Application of catastrophe progression method in forecasting slagging of coal-fired boiler
作者:
陈红江1彭小兰23
(1. 湖南省计量检测研究院,湖南 长沙 410014;2.中南大学,湖南 长沙 410083; 3.湖南省特种设备检验检测研究院,湖南 长沙 410075)
Author(s):
CHEN Hong-jiang 1 PENG Xiao-lan23
(1. Hunan Institute of Metrology and Test TEST , Changsha Hunan 410014, China;2. Centre South University, Changsha Hunan  410083, China;3. Hunan Special Equipment Inspection and Testing Center, Changsha Hunan 410075, China)
关键词:
突变级数法锅炉结渣分级预测
Keywords:
catastrophe progression method boiler slagging classification forecasting
分类号:
X936
DOI:
10.11731/j.issn.1673-193x.2014.08.017
文献标志码:
A
摘要:
提出了一种基于突变级数理论的电站燃煤锅炉结渣特性的预测方法。首先介绍了突变级数法的基本思想和分析步骤,在找出影响电站燃煤锅炉结渣分级的主要因素之后,对各因素进行排序,并确定各因素指标体系,最后,求出各样本的突变级数,对电站燃煤锅炉结渣等级进行划分。通过工程实例可见,该方法对电站燃煤锅炉结渣分级的预测有效性较高,并且更体现出客观性较强、定量化程度较高,计算简单等优势
Abstract:
A method based on catastrophe progression theory was established in order to forecast the slagging properties of coalfired boiler. The basic ideas and approaches of catastrophe progression method were firstly introduced. After main factors impacting slugging properties of coalfired boiler were identified and ordered, the index system of factors was determined. Finally, the catastrophic affiliated functional values of the samples were abstained. Several practical examples, which prove the feasibility and effectiveness of catastrophe progression method, can provide reference and a viable alternative for the whole disposal of the slugging properties of coalfired boiler.

参考文献/References:

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备注/Memo

备注/Memo:
质检公益性行为科研专项(201210080)有机热载体炉安全评定及积炭量在线检测关键技术研究
更新日期/Last Update: 2014-09-26