On the linear separability of diagnostic models

AUTOTESTCON (Proceedings)

Volumn , Issue , 2006, Pages 626-635

  Sheppard, John W ^a   Butcher, Stephyn G W ^a  

^a Johns Hopkins University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; LINEAR SYSTEMS; MAINTENANCE; REQUIREMENTS ENGINEERING;

D-MATRIX; SYSTEM DIAGNOSIS;

PROGRAM DIAGNOSTICS;

EID: 43549108629     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/AUTEST.2006.283738     Document Type: Conference Paper

References (24)

1. Aamodt, A. and Plaza, E., "Case-Based Reasoning: Foundational Issues, Methodological Variations, and System Approaches," Al Communications, Vol. 7, No. 1, 1994, pp. 39-59.
2. Automatic Test Markup Language Consortium website, http://www.atml.org.
3. Butcher, S., Sheppard, J., Kaufman, M., and MacDougall, C., "Experiments in Bayesian Diagnostics with UID-Enabled Data," to appear in AUTOTESTCON Conference Record, New York: IEEE Press, September 2006.
4. Cormen, T., Leiserson, C., Rivest, R., and Stein, C., Introduction to Algorithms, second edition, Cambridge, MA: The MIT Press, 2001.
5. Deb, S., Pattitpati, K., Raghavan, V., Shakeri, M., and Shrestha, R., "Multi-Signal Flow Graphs: A Novel Approach for System Testability Analysis and Fault Diagnosis, IEEE Aerospace and Electronic Systems Magazine, Vol. 10, No. 5, May 1995, pp. 14-25.
6. Dechter, R., Constraint Processing, San Francisco: Morgan Kaufman, 2003.
7. DoD Automatic Test System Framework Roadmap, May 2005.
8. Duda, R., Hart, P., and Stork, D., Pattern Classification, New York: John Wiley & Sons, 2001.
9. Fischer, W. C. and Sivahop, A. Tested, Dissimilar Stability Augmentation System, United States Patent #4,313,201, January 26, 1982.
10. Friedman, N., Geiger, D., and Goldszmidt, M., "Bayesian Network Classifiers," Machine Learning, 29:131-163, 1997.
11. IEEE Std 1232-2002. Standard for Artificial Intelligence Exchange and Service Tie to All Test Environments (Al-ESTATE), Piscataway, NJ: IEEE Standards Association Press, 2002.
12. Ling, C. and Zhang, H. "The Representational Power of Discrete Bayesian Networks," Journal of Machine Learning Research, Vol. 3, 2002, pp. 709-721.
13. Luo, J., Tu, H., Pattipati, K., Qiao, L., and Chigusa, S., "Graphical Models for Diagnosis Knowledge Representation and Inference," IEEE Instrumentation and Measurement Magazine, to appear, 2006.
14. Minsky, M. and Papert, S., Perceptrons, Expanded Edition, Cambridge, MA: The MIT Press, 1988.
15. Murthy, S., On Growing Better Decision Trees from Data, PhD Dissertation, Department of Computer Science, The Johns Hopkins University, 1996.
16. Quinlan, J. R., "Induction of Decision Trees," Machine Learning, Vol. 1, No. 1, 1986, pp. 81-106.
17. Rumelhart, D., Hinton, G., and Williams, R., "Learning Internal Representations by Error Propagation," in Parallel Distributed Processing, eds. D. Rumelhart and J. McClelland, Cambridge, MA: The MIT Press, 1986, pp. 318-362.
18. nd edition, Upper Saddle River, NJ: Prentice Hall, 2003.
19. Sheppard, J., Butcher, S., Kaufman, M., and MacDougall, C., "Not-So-Naïve Bayesian Networks and Unique Identification in Developing Advanced Diagnostics," Proceedings of the IEEE Aerospace Conference, New York: IEEE Press, March 2006.
20. Sheppard, J. and Kaufman, M., "A Bayesian Approach to Diagnosis and Prognosis Using Built In Test," IEEE Transactions on Instrumentation and Measurement, Special Section on Built-in Test, Vol. 54, No. 3, June 2005, pp. 1003-1018.
21. Sheppard, J. and Simpson, W., "Improving the Accuracy of Diagnostics Provided by Fault Dictionaries," Proceedings of the 14 IEEE VLSI Test Symposium, Los Alamitos, CA: IEEE Computer Society Press, 1996, pp. 180-185.
22. Shwe, M. and Cooper, G., "An Empirical Analysis of a Likelihood-Weighting Simulation on a Large, Multiply-Connected Medical Belief Network," Computers and Biomedical Research," 24, 453-475, 1991.
23. Simpson, W. and Sheppard, J., System Test and Diagnosis, Norwell, MA: Kluwer Academic Publishers, 1994.
24. Stanfill, C. and Waltz, D., "Toward Memory-Based Reasoning," Communications of the ACM, Vol. 29, No. 12, 1986, pp. 1213-1228.