[Alonso, C. J., Llamas, C., Maestro, J. A. and Pulido, B. (2003). Diagnosis of dynamic systems: A knowledge model that allows tracking the system during the diagnosis process, in P. W. H. Chung, C. Hinde and M. Ali (Eds.), Developments in Applied Artificial Intelligence, Lecture Notes in Artificial Intelligence, Vol. 2718, Springer, Berlin, pp. 208-218.10.1007/3-540-45034-3_21]Search in Google Scholar
[Bauer, M., Cox, J. W., Caveness, M. H., Downs, J. J. and Thornhill, N. F. (2007). Finding the direction of disturbance propagation in a chemical process using transfer entropy, IEEE Transactions on Control Systems Technology 15(1): 12-21.10.1109/TCST.2006.883234]Search in Google Scholar
[Bauer, M. and Thornhill, N. F. (2008). A practical method for identifying the propagation path of plant-wide disturbances, Journal of Process Control 18(7-8): 707-719.10.1016/j.jprocont.2007.11.007]Search in Google Scholar
[Cheng, H., Tikkala, V.-M., Zakharov, A., Myller, T. and Jamsa-Jounela, S. L. (2011). Application of the enhanced dynamic causal digraph method on a three-layer board machine, IEEE Transactions on Control Systems Technology 19(3): 644-655.10.1109/TCST.2010.2051441]Search in Google Scholar
[Fagarasan, I., Ploix, S. and Gentil, S. (2004). Causal fault detection and isolation based on a set-membership approach, Automatica 40(12): 2099-2110.10.1016/S0005-1098(04)00196-7]Search in Google Scholar
[Fedai, M. and Drath, R. (2005). CAEX—A neutral data exchange format for engineering data, Automation Technology in Practice—ATP International 1(3): 43-51.]Search in Google Scholar
[Gigi, S. and Tangirala, A. K. (2010). Quantitative analysis of directional strengths in jointly stationary linear multivariate processes, Biological Cybernetics 103(2): 119-133.10.1007/s00422-010-0386-6]Search in Google Scholar
[Górny, B. (2001). Consistency-Based Reasoning in Model-Based Diagnosis, Ph.D. thesis, AGH University of Science and Technology, Cracow.]Search in Google Scholar
[Iri, M., Aoki, K., O'shima, E. and Matsuyama, H. (1979). An algorithm for diagnosis of system failures in the chemical process, Computers and Chemical Engineering 3(1-4): 489-493.10.1016/0098-1354(79)80079-4]Search in Google Scholar
[Jan, A., Jonas, B., Erik, F., Krysander, M. and Lars, N. (2007). Safety analysis of autonomous systems by extended fault tree analysis, International Journal of Adaptive Control and Signal Processing 21(2-3): 287-298.10.1002/acs.934]Search in Google Scholar
[Ligęza, A. (1996). A note on systematic conflict generation in CA-EN-type causal structures, LAAS Report No. 96317, Laboratory for Analysis and Architecture of Systems, Toulouse.]Search in Google Scholar
[Ligęza, A. and Kościelny, J. M. (2008). A new approach to multiple fault diagnosis: A combination of diagnostic matrices, graphs, algebraic and rule-based models. The case of two-layer models, International Journal of Applied Mathematics and Computer Science 18(4): 465-476, DOI: 10.2478/v10006-008-0041-8.10.2478/v10006-008-0041-8]Search in Google Scholar
[Korbicz, J. and Kościelny, J. M. (Eds.) (2010). Modeling, Diagnostics and Process Control: Implementation in the Dia-Ster System, Springer-Verlag, Berlin/Heidelberg.10.1007/978-3-642-16653-2]Search in Google Scholar
[Leyval, L., Gentil, S. and Feray-Beaumont, S. (1994). Model-based causal reasoning for process supervision, Automatica 30(8): 1295-1306.10.1016/0005-1098(94)90109-0]Search in Google Scholar
[Li, Q. and Racine, J. S. (2007). Nonparametric Econometrics: Theory and Practice, Princeton University Press, Princeton, NJ.]Search in Google Scholar
[Lungarella, M., Ishiguro, K., Kuniyoshi, Y. and Otsu, N. (2007). Methods for quantifying the causal structure of bivariate time series, International Journal of Bifurcation and Chaos 17(3): 903-921.10.1142/S0218127407017628]Search in Google Scholar
[Maurya, M. R., Rengaswamy, R. and Venkatasubramanian, V. (2003a). A systematic framework for the development and analysis of signed digraphs for chemical processes: 1. Algorithms and analysis, Industrial and Engineering Chemistry Research 42(20): 4789-4810.10.1021/ie020644a]Search in Google Scholar
[Maurya, M. R., Rengaswamy, R. and Venkatasubramanian, V. (2003b). A systematic framework for the development and analysis of signed digraphs for chemical processes: 2. Control loops and flowsheet analysis, Industrial and Engineering Chemistry Research 42(20): 4811-4827.10.1021/ie0206453]Search in Google Scholar
[Maurya, M. R., Rengaswamy, R. and Venkatasubramanian, V. (2004). Application of signed digraphs-based analysis for fault diagnosis of chemical process flowsheets, Engineering Applications of Artificial Intelligence 17(5): 501-518.10.1016/j.engappai.2004.03.007]Search in Google Scholar
[Montmain, J. and Gentil, S. (2000). Dynamic causal model diagnostic reasoning for online technical process supervision, Automatica 36(8): 1137-1152.10.1016/S0005-1098(00)00024-8]Search in Google Scholar
[Mosterman, P. J. and Biswas, G. (1999). Diagnosis of continuous valued systems in transient operating regions, IEEE Transactions on Systems, Man, and Cybernetics: Part A 29(6): 554-565.10.1109/3468.798059]Search in Google Scholar
[Oyeleye, O. O. and Kramer, M. A. (1988). Qualitative simulation of chemical process systems: Steady-state analysis, AIChE Journal 34(9): 1441-1454.10.1002/aic.690340906]Search in Google Scholar
[Palmer, C. and Chung, P. W. H. (1999). Verifying signed directed graph models for process plants, Computers & Chemical Engineering 23(Suppl. 1): S394-S391.]Search in Google Scholar
[Palmer, C. and Chung, P. W. H. (2000). Creating signed directed graph models for process plants, Industrial and Engineering Chemistry Research 39(20): 2548-2558.10.1021/ie990637v]Search in Google Scholar
[Pastor, J., Lafon, M., Trave-Massuyes, L., Demonet, J.-F., Doyon, B. and Celsis, P. (2000). Information processing in large-scale cerebral networks: The causal connectivity approach, Biological Cybernetics 82(1): 49-59.10.1007/PL0000796110650907]Search in Google Scholar
[Schreiber, T. (2000). Measuring information transfer, Physical Review Letters 85(2): 461-464.10.1103/PhysRevLett.85.46110991308]Search in Google Scholar
[Silverman, B. W. (1986). Density Estimation for Statistics and Data Analysis, Chapman and Hall, London/New York, NY.]Search in Google Scholar
[Staroswiecki, M. (2000). Quantitative and qualitative models for fault detection and isolation, Mechanical Systems and Signal Processing 14(3): 301-325.10.1006/mssp.2000.1293]Search in Google Scholar
[Tangirala, A. K., Shah, S. L. and Thornhill, N. F. (2005). PSC-MAP: A new tool for plant-wide oscillation detection, Journal of Process Control 15(8): 931-941.10.1016/j.jprocont.2005.01.005]Search in Google Scholar
[Thambirajah, J., Benabbas, L., Bauer, M. and Thornhill, N. F. (2009). Cause-and-effect analysis in chemical processes utilizing XML: Plant connectivity and quantitative process history, Computers and Chemical Engineering 33(2): 503-512.10.1016/j.compchemeng.2008.10.002]Search in Google Scholar
[Yang, F., Shah, S. L. and Xiao, D. (2010a). SDG (Signed Directed Graph) based process description and fault propagation analysis for a tailings pumping process, Proceedings of the 13th IFAC Symposium on Automation in Mining, Mineral and Metal Processing, Cape Town, South Africa, pp. 50-55.10.3182/20100802-3-ZA-2014.00011]Search in Google Scholar
[Yang, F., Xiao, D. and Shah, S. L. (2010b). Qualitative fault detection and hazard analysis based on signed directed graphs for large-scale complex systems, in W. Zhang (Ed.), Fault Detection, IN-TECH, Vukovar, pp. 15-50.10.5772/9077]Search in Google Scholar
[Yim, S. Y., Ananthakumar, H. G., Benabbas, L., Horch, A., Drath, R. and Thornhill, N. F. (2006). Using process topology in plant-wide control loop performance assessment, Computers and Chemical Engineering 31(2): 86-99.10.1016/j.compchemeng.2006.05.004]Search in Google Scholar