Creation of Automated Diagnostic Tools for Diagnosis and Troubleshooting INS

This project entails a team of Honeywell Engineers and students working collaboratively to create a Knowledge Based System and models to facilitate the fault isolation and corrective action for Inertial Navigation Systems (INS) failures that occur during the standard production Acceptance Testing Process. The project is delineated into different phases, to include collection, assessment and pareto of failure causes for similarities from a standard production event record system that are germane to Honeywell Clearwater-Defense core product lines. Students review this data with Honeywell Engineering to categorize, define failure types and align failure causes with corrective actions. The students are guided and mentored by Honeywell Engineering to create a troubleshoot and maintenance database utilizing a Knowledge Management System (KMS) to capture the failures and repairs into a Diagnostic fault model. Students are exposed to writing scripts to parse data from historical datasets, usage of an existing importer to import large datasets into the model, complete the model by authoring in additional details to eliminate ambiguous fault conditions and build the students’ knowledge on how diagnostic systems work on complex systems. Students gain exposure and insight into the following types of technology, Global Positioning Systems (GPS), Accelerometers, Gyros, Inertial Electronics, Interconnect Boards, Processor Designs, and Power Supply Designs.