A Reasoning Architecture for Expert Troubleshooting of Complex Processes

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Published Sep 23, 2012
Abdul Naveed Jiaming Li Bhaskar Saha Abhinav Saxena George Vachtsevanos

Abstract

This paper introduces a novel reasoning methodology, in combination with appropriate models and measurements (data) to perform accurately and expeditiously expert troubleshooting for complex military and industrial processes. This automated troubleshooting tool is designed to support the maintainer/ repairman by identifying and locating faulty system components. The enabling technologies build upon a Model Based Reasoning paradigm and a Dynamic Case Based Reasoning method acting as the intelligent database. A case study employs a helicopter Intermediate Gearbox as the application domain to illustrate the efficacy of the approach.

How to Cite

Naveed, A., Li, J. ., Saha, B. ., Saxena, A. ., & Vachtsevanos, G. (2012). A Reasoning Architecture for Expert Troubleshooting of Complex Processes. Annual Conference of the PHM Society, 4(1). https://doi.org/10.36001/phmconf.2012.v4i1.2109
Abstract 465 | PDF Downloads 130

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Keywords

PHM, Troubleshooting, CBR, MBR, learning, Adaptation, model based reasoning, case based reasoning, dynamic case based reasoning

References
Bichindaritz, I. (1995). Incremental concept learning and case-based reasoning: For a co-operative approach. Paper presented at the Progress in Case-Based Reasoning.
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De Kleer, J. & Williams, B.C. (1987). "Diagnosing Multiple Faults", Artificial Intelligence, Vol 32, 1987, pp 97- 130.
Kolodner, J. L. (1993). Case-based Reasoning. San Mateo, CA: Morgan Kaufmann Publishers.
Saha, B. & Vachtsevanos, G. (2006). “A Model-Based Reasoning Approach to System Fault Diagnosis, WSEAS Transactions on Systems, Issue 8, Vol. 5, pp. 1997 – 2004, August 2006.
Saxena, A. (2007). Knowledge-Based Architecture for Integrated Condition Based Maintenance of Engineering System. PhD Dissertation, Georgia Institute of Technology, Atlanta.
Saxena, A., Wu, B., & Vachtsevanos, G. (2005). Integrated Diagnosis and Prognosis Architecture for Fleet Vehicles Using Dynamic Case Based Reasoning. Paper presented at the IEEE Autotestcon ’05 Conference, Orlando, FL.
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Section
Technical Research Papers

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