Work

Application of large language models in diagnostics and maintenance of aircraft propulsion systems

Year: 2024

Type: article

Abstract: This study delves into the application of large language models (LLMs) in the diagnostics and maintenance of aircraft propulsion systems.Rapid advancements in aviation technology make there is an increasing need for sophisticated tools to assist in predicting and preventing equipment failures.LLMs, trained on extensive datasets, offer the potential to analyze telemetry and operational data, providing diagnostic insights and maintenance recommendations.This research explores the capabilities of LLMs in interpreting sensor data, identifying anomalies, and generating maintenance guidelines.The performance and limitations of LLMs are evaluated utilizing synthetic data from NASA to simulate real-world scenarios.Findings indicate that LLMs can enhance the reliability and efficiency of aircraft propulsion system maintenance significantly, despite challenges related to data quality and model limitations.

Source: Advances in Science and Technology – Research Journal

DOI: 10.12913/22998624/196264

Authors: Mikołaj Klekowicki, Grzegorz M. Szymański, Marek Waligórski, Wojciech Misztal

Institution: Poznań University of Technology

Language: English

Topic: Machine Fault Diagnosis Techniques

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $330

OpenAlex ID: W4405642807