Applications of Artificial Intelligence and Decision-Making Methods in PHM

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Published Jul 2, 2018
Paddy Conroy Jacek Stecki Joshua Bautista Alex Ringeri

Abstract

Developing PHM capability for a system is a multi-staged process. This paper explores genetic algorithms, neural networks, fuzzy logic systems, AHP (Analytical Hierarchy Process), and Boolean logic to synthesize and fuse complex decisions arising in PHM design. Tools for PHM analysis are typically introduced and utilized towards the end of a products design or potentially after design. The methods proposed are tools that can be implemented during conceptual and early stage preliminary design prior to specific hardware design decisions being made. As a result, diagnostic capability can be developed along with the broader system allowing better embedded design of diagnostic instruments into the system and giving PHM a greater role in operation rather than being a secondary consideration of system development.

How to Cite

Conroy, P., Stecki, J., Bautista, J., & Ringeri, A. (2018). Applications of Artificial Intelligence and Decision-Making Methods in PHM. PHM Society European Conference, 4(1). https://doi.org/10.36001/phme.2018.v4i1.400
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Keywords

Genetic Algorithm, Analytical Hierarchy Process, Artificial Intelligence, Fuzzy Logic, Diagnostic Design

Section
Technical Papers