A Comprehensive Review of Emerging Trends in Aircraft Structural Prognostics and Health Management

A Comprehensive Review of Emerging Trends in Aircraft Structural Prognostics and Health Management

This review paper addresses the critical need for structural prognostics and health management (SPHM) in aircraft maintenance, highlighting its role in identifying potential structural issues and proactively managing aircraft health. With a comprehensive assessment of various SPHM techniques, the pa...

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Bibliographic Details
Published in:Mathematics (Basel) Vol. 11; no. 18; p. 3837
Main Authors: Khalid, Salman, Song, Jinwoo, Azad, Muhammad Muzammil, Elahi, Muhammad Umar, Lee, Jaehun, Jo, Soo-Ho, Kim, Heung Soo
Format: Journal Article
Language:English
Published: Basel MDPI AG 01-09-2023
Subjects:
Aircraft
Aircraft maintenance
Algorithms
Aviation
Case studies
Corrosion
Data mining
data-driven approaches
Datasets
Deep learning
digital twin technology
Digital twins
Educational services industry
Empowerment
Finite element analysis
Finite element method
Health
Health aspects
health management
Machine learning
Methods
model-based approaches
Partial differential equations
Repair & maintenance
Sensors
Structural health monitoring
Structural integrity
structural prognostics
United States
Germany
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Summary:This review paper addresses the critical need for structural prognostics and health management (SPHM) in aircraft maintenance, highlighting its role in identifying potential structural issues and proactively managing aircraft health. With a comprehensive assessment of various SPHM techniques, the paper contributes by comparing traditional and modern approaches, evaluating their limitations, and showcasing advancements in data-driven and model-based methodologies. It explores the implementation of machine learning and deep learning algorithms, emphasizing their effectiveness in improving prognostic capabilities. Furthermore, it explores model-based approaches, including finite element analysis and damage mechanics, illuminating their potential in the diagnosis and prediction of structural health issues. The impact of digital twin technology in SPHM is also examined, presenting real-life case studies that demonstrate its practical implications and benefits. Overall, this review paper will inform and guide researchers, engineers, and maintenance professionals in developing effective strategies to ensure aircraft safety and structural integrity.
ISSN:2227-7390
2227-7390
DOI:10.3390/math11183837