Signed Directed Graph and Qualitative Trend Analysis Based Fault Diagnosis in Chemical Industry

CIESC Journal ›› 2010, Vol. 18 ›› Issue (2): 265-276.

Signed Directed Graph and Qualitative Trend Analysis Based Fault Diagnosis in Chemical Industry

高东¹, 吴重光², 张贝克¹, 马昕¹

1. College of Information Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China;
2. SINOPEC Safety Engineering Institute, Qingdao 266071, China

收稿日期:2009-07-31 修回日期:2010-02-11 出版日期:2010-04-28 发布日期:2010-04-28
通讯作者: GAO Dong,E-mail:gd4ever123@gmail.com
基金资助:
Supported by the Science and Technological Tackling Project of Heilongjiang Province(GB06A106)

Signed Directed Graph and Qualitative Trend Analysis Based Fault Diagnosis in Chemical Industry

GAO Dong¹, WU Chongguang², ZHANG Beike¹, MA Xin¹

1. College of Information Science and Technology, Beijing University of Chemical Technology, Beijing 100029, China;
2. SINOPEC Safety Engineering Institute, Qingdao 266071, China

Received:2009-07-31 Revised:2010-02-11 Online:2010-04-28 Published:2010-04-28
Supported by:
Supported by the Science and Technological Tackling Project of Heilongjiang Province(GB06A106)

摘要/Abstract

摘要： In the past 30 years,signed directed graph(SDG), one of the qualitative simulation technologies,has been widely applied for chemical fault diagnosis.However,SDG based fault diagnosis,as any other qualitative method,has poor diagnostic resolution.In this paper,a new method that combines SDG with qualitative trend analysis(QTA) is presented to improve the resolution.In the method,a bidirectional inference algorithm based on assumption and verification is used to find all the possible fault causes and their corresponding consistent paths in the SDG model.Then an improved QTA algorithm is used to extract and analyze the trends of nodes on the consistent paths found in the previous step.New consistency rules based on qualitative trends are used to find the real causes from the candidate causes.The resolution can be improved.This method combines the completeness feature of SDG with the good diagnostic resolution feature of QTA.The implementation of SDG-QTA based fault diagnosis is done using the integrated SDG modeling,inference and post-processing software platform.Its application is illustrated on an atmospheric distillation tower unit of a simulation platform.The result shows its good applicability and efficiency.

关键词: signed directed graph, qualitative trend analysis, fault diagnosis, bidirectional inference, atmospheric distillation tower unit

Abstract: In the past 30 years,signed directed graph(SDG), one of the qualitative simulation technologies,has been widely applied for chemical fault diagnosis.However,SDG based fault diagnosis,as any other qualitative method,has poor diagnostic resolution.In this paper,a new method that combines SDG with qualitative trend analysis(QTA) is presented to improve the resolution.In the method,a bidirectional inference algorithm based on assumption and verification is used to find all the possible fault causes and their corresponding consistent paths in the SDG model.Then an improved QTA algorithm is used to extract and analyze the trends of nodes on the consistent paths found in the previous step.New consistency rules based on qualitative trends are used to find the real causes from the candidate causes.The resolution can be improved.This method combines the completeness feature of SDG with the good diagnostic resolution feature of QTA.The implementation of SDG-QTA based fault diagnosis is done using the integrated SDG modeling,inference and post-processing software platform.Its application is illustrated on an atmospheric distillation tower unit of a simulation platform.The result shows its good applicability and efficiency.

Key words: signed directed graph, qualitative trend analysis, fault diagnosis, bidirectional inference, atmospheric distillation tower unit

高东, 吴重光, 张贝克, 马昕. Signed Directed Graph and Qualitative Trend Analysis Based Fault Diagnosis in Chemical Industry[J]. CIESC Journal, 2010, 18(2): 265-276.

GAO Dong, WU Chongguang, ZHANG Beike, MA Xin. Signed Directed Graph and Qualitative Trend Analysis Based Fault Diagnosis in Chemical Industry[J]. , 2010, 18(2): 265-276.

参考文献

1 Venkatasubramanian, V., Rengaswamy, R., Kavuri, S.N., Yin, K., “A review of process fault detection and diagnosis (I) Quantitative model based methods”, Comput. Chem. Eng., 27, 293-311 (2003). 2 Venkatasubramanian, V., Rengaswamy, R., Kavuri, S.N., Yin, K., “A review of process fault detection and diagnosis (Ⅱ) Qualitative models and search strategies”, Comput. Chem. Eng., 27, 313-326 (2003). 3 Venkatasubramanian, V., Rengaswamy, R., Kavuri, S.N., Yin, K., “A review of process fault detection and diagnosis (Ⅲ) Process history based methods”, Comput. Chem. Eng., 27, 327-346 (2003). 4 Lapp, S.A., Powers, G.J., “Computer-aided synthesis of fault-trees”, IEEE Trans. Reliab., 26 (2), 2-12 (1977) . 5 Iri, M., Aoki, K., O'shima, E., Matsuyama, H., “An algorithm for diagnosis of system failures in the chemical process”, Comput. Chem. Eng., 3 (1-4), 489-493 (1979). 6 Umeda, T., Kuriyama, T., “A graphical approach to cause and effect analysis of chemical processing systems”, Chem. Eng. Sci., 35, 2379-2388 (1980). 7 Shiozaki, J., Matsuyama, H., Tano, K., O'shima, E., “Fault diagnosis of chemical processes by the use of signed, directed graphs. extension to five-range patterns of abnormality”, Int. Chem. Eng., 25 (4), 651-659 (1985). 8 Kramer, M.A., Palowitch, B.L., “A rule-based approach to fault diagnosis using the signed directed graph”, AIChE J., 33 (7), 1067-1078 (1987). 9 Vedam, H., Venkatasubramanian, V., “Signed digraph based multiple fault diagnosis”, Comput. Chem. Eng., 21 (6), 655-660 (1997). 10 Shiozaki, J., Miyachika, F., “A fault diagnosis tool for havc systems using qualitative reasoning algorithm”, In:Proceedings of Building Simulation, Japan, 155-160 (1999). 11 Chen, J., Howell, J., “A self-validating control system based approach to plant fault detection and diagnosis”, Comput. Chem. Eng., 25, 337-358 (2001). 12 Maurya, M.R., Rengaswamy, R., Venkatasubramanian, V., “Consistent malfunction diagnosis inside control loops using signed directed graphs”, In:European Symposium on Computer Aided Process Engineering-13, Kraslawski, A., Turunen, I., eds., Elsevier Science Ltd, Netherlands, 473-479 (2003). 13 Maurya, M.R., Rengaswamy, R., Venkatasubramanian, V., “A signed directed graph-based systematic framework for steady-state malfunction diagnosis inside control loops”, Chem. Eng. Sci., 61, 1790-1810 (2006). 14 Wilcox, N.A., Himmmelblau, H.M., “The possible cause and effect graphs (PCEG) model for fault diagnosis (I) Methodology”, Comput. Chem. Eng., 18 (2), 103-116 (1994). 15 Janusz, M., Venkatasubramanian, V., “Automatic generation of qualitative description of process trends for fault detection and diagnosis”, Eng. Appl. Artif. Intell., 4 (5), 329-339 (1991). 16 Rengaswamy, R., Venkatasubramanian, V., “A syntactic pattern recognition approach for process monitoring and fault diagnosis”, Eng. Appl. Artif. Intell., 8 (1), 35-51 (1995). 17 Rengaswamy, R., Hagglund, T., Venkatasubramanian, V., “A qualitative shape analysis formalism for monitoring control loop performance”, Eng. Appl. Artif. Intell., 14 (1), 23-33 (2001). 18 Dash, S., Rengaswamy, R., Venkatasubramanian, V., “Fuzzy-logic based trend classification for fault diagnosis of chemical processes”, Comput. Chem. Eng., 27 (3), 347-362 (2003). 19 Charbonnier, S., Garcia-Beltan, C., Cadet, C., Gentil, S., “Trends extraction and analysis for complex system monitoring and decision support”, Eng. Appl. Artif. Intell., 18, 21-36 (2005). 20 Shih, R.F., Lee, L.S., “Use of fuzzy cause-effect digraph for resolution fault diagnosis for process plants (1) Fuzzy cause-effect digraph”, Ind. Eng. Chem. Res., 34 (5), 1688-1702 (1995). 21 Shih, R.F., Lee, L.S., “Use of fuzzy cause-effect digraph for resolution fault diagnosis for process plants (2) Diagnostic algorithm and applications”, Ind. Eng. Chem. Res., 34 (5), 1703-1717 (1995). 22 Wang, X.Z., Yang, S.A., Yang, S.H., Mcgreavy, C., “The application of fuzzy qualitative in safety and operability assessment of process plants”, Comput. Chem. Eng., 20, 671-676 (1996). 23 Tarifa, E.E., Scenna, N.J., “Fault diagnosis for a MSF using a SDG and fuzzy logic”, Desalination, 152 (1-3), 207-214 (2003). 24 Chang, S.Y., Chang, C.T., “A fuzzy-logic based fault diagnosis strategy for process control loops”, Chem. Eng. Sci., 58, 3395-3411 (2003). 25 Chen, J.R., Chang, C.T., “Fuzzy diagnosis method for control systems with coupled feed forward and feedback loops”, Chem. Eng. Sci., 61 (10), 3105-3128 (2006). 26 Vedam, H., Venkatasubramanian, V., “PCA-SDG based process monitoring and fault diagnosis”, Control Eng. Pract., 7 (7), 903-917 (1999). 27 Maurya, M.R., Rengaswamy, R., Venkatasubramanian, V., “Fault diagnosis by qualitative trend analysis of the principal component”, Chem. Eng. Res. Des., 83 (A9), 1122-1132 (2005). 28 Ma, Y.G., Gao, J.Q., Ma, L.Y., Yan, Q., Tong, P., “Study on fault diagnosis based on the qualitative/quantitative model of SDG and genetic algorithm”, In:Proceedings of the Fifth International Conference on Machine Learning and Cybernetics, Inst. Elec. Elec. Eng. Computer Society, USA, 2053-2058 (2006). 29 Yang, F., Xiao, D.Y., “Probabilistic SDG model and approach to inference for fault analysis”, Control and Decision, 21 (5), 487-496 (2006). (in Chinese) 30 Ahn, S.J., Lee, C.J., Jung, Y., Han, C., Yong, E.S., Lee, G., “Fault diagnosis of the multi-stage flash desalination process based on signed digraph and dynamic partial least square”, Desalination, 228, 68-83 (2008). 31 Maurya, M.R., Rengaswamy, R., Venkatasubramanian, V., “A signed directed graph and qualitative trend analysis-based framework for incipient fault diagnosis”, Chem. Eng. Res. Des., 85 (A10), 1407-1422 (2007). 32 Gao, D., Zhang, B.K., Ma, X., “A signed directed graph and qualitative trend analysis-based method for process monitoring and fault diagnosis”, In:Progress in Safety Science and Technology Vol VII, Li, S.C., Wang, Y.J., An, Y., Sun, X.Y., Li,X., eds., Science Press, Beijing, 366-370 (2008). 33 Zhang, Z.Q., Wu, C.G., Zhang, B.K., Xia, T., Li, A.F., “SDG multiple fault diagnosis by real-time inverse inference”, Reliab. Eng. Syst. Saf., 87, 173-189 (2005). 34 Zhang, B.K., Xia, T., Wu, C.G., “Integrated SDG modeling, inference and post-processing software platform”, J. Syst. Simulat., 15 (10), 1360-1364 (2003). (in Chinese) 35 Wu, C.G., Chemical Simulation Practice Guide, Chemical Industry Press, Beijing, 142-162 (1999). (in Chinese)

[1]	张卫华, 吴重光, 王春利. Qualitative Algebra and Graph Theory Methods for Dynamic Trend Analysis of Continuous System[J]. CIESC Journal, 2011, 19(2): 308-315.
[2]	Susumu Hashizume, Tomoyuki Yajima, Yukiko Kuwashita, Katsuaki Onogi. Integration of Fault Analysis and Interlock Controller Synthesis for Batch Processes[J]. CIESC Journal, 2008, 16(1): 57-61.
[3]	毛勇, 夏铮, 尹征, 孙优贤, 万征. 基于结合参数整定和特征选择策略的模糊支持向量机的故障诊断[J]. CIESC Journal, 2007, 15(2): 233-239.
[4]	汪志锋, 袁景淇. 基于滚动MPCA的青霉素发酵过程的在线监控[J]. CIESC Journal, 2007, 15(1): 92-96.
[5]	赵旭, 阎威武, 邵惠鹤. 基于Fisher子空间特征提取的间歇过程监控和故障诊断[J]. CIESC Journal, 2006, 14(6): 759-764.
[6]	蒋丽英,谢磊, 王树青. 基于改进多模型FDA的间歇生产过程的故障诊断[J]. CIESC Journal, 2006, 14(3): 343-348.
[7]	MAOYong(毛勇),PIDaoying(皮道映),LIUYuming(刘育明)andSUNYouxian(孙优贤). Accelerated Recursive Feature Elimination Based on Support Vector Machine for Key Variable Identification[J]. CIESC Journal, 2006, 14(1): 65-72.
[8]	王学重, 徐亦方, 史忠植, 沈复. AN OBJECT-ORIENTED EXPERT SYSTEM FOR TROUBLESHOOTING REFINERY DISTILLATION COLUMNS[J]. CIESC Journal, 1992, 7(2): 197-207.

Signed Directed Graph and Qualitative Trend Analysis Based Fault Diagnosis in Chemical Industry

Signed Directed Graph and Qualitative Trend Analysis Based Fault Diagnosis in Chemical Industry

可视化

被引次数

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 8

编辑推荐

Metrics

本文评价