期刊文献+

一种基于状态向量推理的SDG-HAZOP分析方法 被引量:1

SDG-HAZOP Analysis Method Based on Status Vector Reasoning
下载PDF
导出
摘要 HAZOP是分析系统可靠性的一种有效方法,在石油、化工工业中得到了广泛应用。但人工HAZOP分析存在费时、费力、成本高等缺点,而计算机辅助SDG-HAZOP分析的提出有效地改善了人工分析的弊端,然而传统的计算机辅助SDG-HAZOP是纯定性的分析与推理,分析的结果往往过于冗繁。本文介绍了一种改进的基于状态向量推理的计算机辅助SDG-HAZOP分析方法,该方法基于SDG定性模型,构造了一个计算机自动推理引擎,并引入了状态向量的概念,通过正向反向推理,快速高效地发掘出偏差产生的后果和原因。通过应用实践表明,与人工HAZOP分析法和现有SDG-HAZOP分析方法相比,该方法具有完备性好、评价结果系统性和条理性强等优点。 HAZOP is one of the useful methods to analyze the reliability of the system and it is widely used in the petroleum and chemical industries.The traditional artificial HAZOP has many disadvantages,such as time-consuming,laboriousness and high cost.Computer-aided SDG-HAZOP analysis effectively improves the manual analysis;however,traditional computer-aided SDG-HAZOP is a kind of qualitative analysis method which results in the analysis that is very complex.An improved analysis method of SDG-HAZOP based on status vector reasoning is offered in this paper.This method constructs a computer automated reasoning engine based on SDG qualitative model.It introduces the concept of status vector and finds the consequences and reasons quickly through the forward and backward reasoning.Compared with artificial HAZOP and traditional SDG-HAZOP,the improved analysis method has good completeness and its analytical results are structured and reasonable.
出处 《安全与环境工程》 CAS 北大核心 2012年第3期73-76,共4页 Safety and Environmental Engineering
关键词 SDG HAZOP 状态向量 推理引擎 推理深度控制 SDG HAZOP status vector reasoning engine reasoning depth control
  • 相关文献

参考文献5

二级参考文献55

  • 1杨帆,萧德云.SDG建模及其应用的进展[J].控制理论与应用,2005,22(5):767-774. 被引量:44
  • 2吕宁,王雄.一类连续反应的SDG HAZOP与故障诊断[J].化工自动化及仪表,2005,32(6):7-11. 被引量:6
  • 3刘敏华,萧德云.基于趋势分析和SDG模型的故障诊断[J].控制理论与应用,2006,23(2):306-310. 被引量:10
  • 4吕宁,王雄.基于SDG的加热炉HAZOP与故障诊断[J].系统仿真学报,2006,18(6):1660-1663. 被引量:9
  • 5石宇,邱彤,陈丙珍.用于化工过程的SDG故障分析方法[J].化工进展,2006,25(12):1484-1488. 被引量:4
  • 6Dash S, Venkatasubramanian V. Challenges in the industrial applications of fault diagnostic systems. Computers Chemical Engineering, 2000, 24 (2-7) : 785-791.
  • 7Venkatasubramanian V, Rengaswamy R, Yin K, Kavuri S N. A review of process fault detection and diagnosis ( Ⅰ) : Quantitative model-based methods. Computers & Chemical Engineering, 2003, 27 (3) : 293-311.
  • 8Iri M, Aoki K, O'Shima E, Matsuyama H. An algorithm for diagnosis of system failures in the chemical process. Computers & Chemical Engineering, 1979, 3 (1/2/3/4) : 489-493.
  • 9Iri M, Aoki K, O'Shima E. A graphical approach to the problem of locating the origin of the system failure. Journal of the Operations Research Society of Japan, 1980, 23 (4): 295-311.
  • 10Maurya M R, Rengaswamy R, Venkatasubramanian V. A systematic framework for the development and analysis of signed digraphs for chemical processes (Ⅱ) : Control loops and flowsheet analysis. Industrial ~ Engineering Chemistry Research, 2003, 42 (20) : 4811-4827.

共引文献98

同被引文献8

引证文献1

二级引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部