基于Django框架的故障诊断和安全评估平台
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摘要
符号有向图(SDG)作为一种定性研究方法,在系统推理和图形绘制上有待改进。详细描述了计算机辅助下的SDG故障诊断和安全评估平台的开发过程。平台的开发基于开源Django框架,具有搭建维护简单、操作方便、易于二次开发等特点;利用分层SDG模型和新的推理算法实现对系统的故障诊断和安全评估,支持故障传播路径查询和分层SDG的自动绘制。以田纳西-伊斯曼过程(TEP)为例,对平台的有效性进行验证,结果证明平台推理结果完备、有效,具有实际应用的前景。
Signed directed graph( SDG) method, a widely used qualitative research method, still could be improved on reasoning and drawing graphics. In this paper, a computer-assisted platform about fault diagnosis and safety evaluation is introduced, the development process of which is also described in detail. Base on the open source framework named Django, the platform has a series of characteristics, such as simple building and maintenance, easy to operate and secondary development and so on. The platform achieves the fault diagnosis and security assessment through the stratified SDG model and an improved reasoning algorithm,and supports the functions of querying fault propagative path and automatically drawing the stratified SDG. The Tennessee-Eastman process( TEP) is used to prove the effectiveness of the platform. The results show that the platform is effective and has prospects of practical application.
Signed directed graph( SDG) method, a widely used qualitative research method, still could be improved on reasoning and drawing graphics. In this paper, a computer-assisted platform about fault diagnosis and safety evaluation is introduced, the development process of which is also described in detail. Base on the open source framework named Django, the platform has a series of characteristics, such as simple building and maintenance, easy to operate and secondary development and so on. The platform achieves the fault diagnosis and security assessment through the stratified SDG model and an improved reasoning algorithm,and supports the functions of querying fault propagative path and automatically drawing the stratified SDG. The Tennessee-Eastman process( TEP) is used to prove the effectiveness of the platform. The results show that the platform is effective and has prospects of practical application.
引文
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[9]Django project[EB/OL].[2014-11-20].https://www.djangoproject.com/.
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[12]Tennessee eastman challenge archive[DB/OL].[2014-11-20].http://depts.washington.edu/control/LARRY/TE/download.html.
[13]韩晓明.基于符号有向图和支持向量机的故障诊断方法的研究[D].太原:太原理工大学,2011.
[2]SHIOZAKI J,MATSUYAMA H,O′SHIMA E,et al.An improved algorithm for diagnosis of system failures in the chemical process[J].Computers&Chemical Engineering,1985,9(3):285-293.
[3]YU C C,LEE C.Fault diagnosis based on qualitative/quantitative process knowledge[J].AICh E Journal,1991,37(4):617-628.
[4]VENKATASUBRAMANIAN V,ZHAO J,VISWANATHAN S.Intelligent systems for HAZOP analysis of complex process plants[J].Computers&Chemical Engineering,2000,24(9):2291-2302.
[5]张贝克,许欣,高东,等.基于定性趋势与符号有向图的模型校核方法[J].化工学报,2013,64(12):4536-4543.
[6]ZHANG B,XU X,MA X,et al.SDG-based model validation in chemical process simulation[J].Chinese Jour nal of Chemical Engineering,2013,21(8):876-885.
[7]YANG F,SHAH S,XIAO D.Signed directed graph based modeling and its validation from process knowledge and process data[J].International Journal of Applied Mathemat ics and Computer Science,2012,22(1):41-53.
[8]YANG F,XIAO D,SHAH S L.Signed directed graphbased hierarchical modelling and fault propagation analysis for large-scale systems[J].IET Control Theory&Applications,2013,7(4):537-550.
[9]Django project[EB/OL].[2014-11-20].https://www.djangoproject.com/.
[10]SEHGAL R,GANDHI O P,ANGRA S.Fault location of tribo-mechanical systems-a graph theory and matrix approach[J].Reliability Engineering and System Safety,2000,70(1):1-14.
[11]DOWNS J J,VOGEL E F.A plant-wide industrial process control problem[J].Computers&Chemical Engineering,1993,17(3):245-255.
[12]Tennessee eastman challenge archive[DB/OL].[2014-11-20].http://depts.washington.edu/control/LARRY/TE/download.html.
[13]韩晓明.基于符号有向图和支持向量机的故障诊断方法的研究[D].太原:太原理工大学,2011.