Towards Verification of Operational Procedures using Auto-Generated Diagnostic Trees

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Published Mar 26, 2021
Tolga Kurtoglu Robyn Lutz Ann Patterson-Hine

Abstract

The design, development, and operation of complex space, lunar and planetary exploration systems require the development of general procedures that describe a detailed set of instructions capturing how mission tasks are performed. For both crewed and uncrewed NASA systems, mission safety and the accomplishment of the scientific mission objectives are highly dependent on the correctness of procedures. In this paper, we describe how to use auto-generated diagnostic trees from existing diagnostic models to improve the verification of standard operating procedures. Specifically, we introduce a systematic method, namely the Diagnostic Tree for Verification (DTV), developed with the goal of leveraging the information contained within auto-generated diagnostic trees in order to check the correctness of procedures, to streamline the procedures in terms of reducing the number of steps or use of resources in them, and to propose alternative procedural steps adaptive to changing operational conditions. The application of the DTV method to a spacecraft electrical power system shows the feasibility of the approach and its range of capabilities.

How to Cite

Kurtoglu, T. ., Lutz, R. ., & Patterson-Hine, A. . (2021). Towards Verification of Operational Procedures using Auto-Generated Diagnostic Trees. Annual Conference of the PHM Society, 1(1). Retrieved from https://papers.phmsociety.org/index.php/phmconf/article/view/1716
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Keywords

diagnosis, diagnostic performance, fault diagnosis, verification and validation

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Section
Technical Papers

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