A Reasoning Architecture for Expert Troubleshooting of Complex Processes



Abdul Naveed Jiaming Li Bhaskar Saha Abhinav Saxena George Vachtsevanos


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 253 | PDF Downloads 68



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

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