TY  - JOUR
  - Wang, J,Provan, G
  - 2010
  - January
  - IEEE Transactions On Systems, Man and Cybernetics-Part A
  - A Benchmark Diagnostic Model Generation System
  - Published
  - ()
  - Benchmark model generation compositional modeling diagnosis SMALL-WORLD NETWORKS BOND GRAPH APPROACH COMPLEX NETWORKS REGULATORY NETWORKS FAULT-DIAGNOSIS SCALE-FREE OPTIMIZATION EMERGENCE TOPOLOGY DYNAMICS
  - 40
  - 959
  - 981
  - It is critical to use automated generators for synthetic models and data given the sparsity of benchmark models for empirical analysis and the cost of generating models by hand. We describe an automated generator for benchmark models that is based on using a compositional modeling framework and employs graphical models for the system topology. We propose a three-step process for synthetic model generation: 1) domain analysis; 2) topology generation; and 3) system-level behavioral model generation. To demonstrate our approach on two highly different domains, we generate models using this process for circuits drawn from the International Symposium on Circuits and Systems benchmark suite and a process-control system. We then analyze the synthetic models according to two criteria: 1) topological fidelity and 2) diagnostic efficiency. Based on this comparison, we identify parameters necessary for the autogenerated models to generate benchmark diagnosis circuit and process-control models with realistic properties.
  - DOI 10.1109/TSMCA.2010.2052039
DA  - 2010/01
ER  - 

@article{V70046572,
   = {Wang,  J and Provan,  G },
   = {2010},
   = {January},
   = {IEEE Transactions On Systems, Man and Cybernetics-Part A},
   = {A Benchmark Diagnostic Model Generation System},
   = {Published},
   = {()},
   = {Benchmark model generation compositional modeling diagnosis SMALL-WORLD NETWORKS BOND GRAPH APPROACH COMPLEX NETWORKS REGULATORY NETWORKS FAULT-DIAGNOSIS SCALE-FREE OPTIMIZATION EMERGENCE TOPOLOGY DYNAMICS},
   = {40},
  pages = {959--981},
   = {{It is critical to use automated generators for synthetic models and data given the sparsity of benchmark models for empirical analysis and the cost of generating models by hand. We describe an automated generator for benchmark models that is based on using a compositional modeling framework and employs graphical models for the system topology. We propose a three-step process for synthetic model generation: 1) domain analysis; 2) topology generation; and 3) system-level behavioral model generation. To demonstrate our approach on two highly different domains, we generate models using this process for circuits drawn from the International Symposium on Circuits and Systems benchmark suite and a process-control system. We then analyze the synthetic models according to two criteria: 1) topological fidelity and 2) diagnostic efficiency. Based on this comparison, we identify parameters necessary for the autogenerated models to generate benchmark diagnosis circuit and process-control models with realistic properties.}},
   = {DOI 10.1109/TSMCA.2010.2052039},
  source = {IRIS}
}