Sensor and Maintenance Strategy Evaluation for Boeing 767 Commercial Fleets

This paper presents a framework to evaluate sensor solutions and maintenance strategies using performance metric and genetic algorithm to mitigate future Boeing 767 (B767) Airworthiness Directives (ADs). The results obtained can inform predictive maintenance models and reliability improvements to mi...

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Bibliographic Details
Published inProceedings. Annual Reliability and Maintainability Symposium pp. 1 - 6
Main Authors Rasaq, Lukmon, Ferguson, Korbin, Teasley, William, Xu, Max, Blond, Kyle E., Yadav, Om Prakash
Format Conference Proceeding
LanguageEnglish
Published IEEE 22.01.2024
Subjects
Airworthiness Directives
Costs
criticality term
detection term
diagnostic term
Failure analysis
failure mechanism
failure mode
FMECA
genetic algorithm
Machine learning algorithms
Measurement
Military aircraft
performance metric
Predictive models
Reliability
sensor selection
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ISSN2577-0993
DOI10.1109/RAMS51492.2024.10457726

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Summary:This paper presents a framework to evaluate sensor solutions and maintenance strategies using performance metric and genetic algorithm to mitigate future Boeing 767 (B767) Airworthiness Directives (ADs). The results obtained can inform predictive maintenance models and reliability improvements to mitigate the costs of AD for commercial and military B767 operators.
ISSN:2577-0993
DOI:10.1109/RAMS51492.2024.10457726