Related references
Note: Only part of the references are listed.Few-shot fatigue damage evaluation of aircraft structure using neural augmentation and deep transfer learning
Changchang Che et al.
ENGINEERING FAILURE ANALYSIS (2023)
A Comparative Study of Optimization Models for Condition-Based Maintenance Scheduling of an Aircraft Fleet
Iordanis Tseremoglou et al.
AEROSPACE (2023)
Fatigue Damage Diagnostics of Composites Using Data Fusion and Data Augmentation With Deep Neural Networks
Shweta Dabetwar et al.
JOURNAL OF NONDESTRUCTIVE EVALUATION, DIAGNOSTICS AND PROGNOSTICS OF ENGINEERING SYSTEMS (2022)
Fusion-based damage diagnostics for stiffened composite panels
Agnes Broer et al.
STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL (2022)
Explainable AI: A Review of Machine Learning Interpretability Methods
Pantelis Linardatos et al.
ENTROPY (2021)
Predictive maintenance for multi-component systems of repairables with Remaining-Useful-Life prognostics and a limited stock of spare components
Ingeborg de Pater et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2021)
Challenges and solutions in condition-based maintenance implementation - A multiple case study
Emilia Ingemarsdotter et al.
JOURNAL OF CLEANER PRODUCTION (2021)
Prediction of remaining useful life by data augmentation technique based on dynamic time warping
Seokgoo Kim et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2020)
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
Alejandro Barredo Arrieta et al.
INFORMATION FUSION (2020)
Application of Extended Cox Regression Model to Time-On-Wing Data of Aircraft Repairables
O. W. M. Thijssens et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2020)
A review of applications in federated learning
Li Li et al.
COMPUTERS & INDUSTRIAL ENGINEERING (2020)
Combining multiple deep learning algorithms for prognostic and health management of aircraft
Changchang Che et al.
AEROSPACE SCIENCE AND TECHNOLOGY (2019)
Fleet-level selective maintenance problem under a phased mission scheme with short breaks: A heuristic sequential game approach
Dezhen Yang et al.
COMPUTERS & INDUSTRIAL ENGINEERING (2018)
Predictive Maintenance Optimization for Aircraft Redundant Systems Subjected to Multiple Wear Profiles
Wlamir Olivares Loesch Vianna et al.
IEEE SYSTEMS JOURNAL (2018)
Multi-objective decision-making model based on CBM for an aircraft fleet with reliability constraint
Lin Lin et al.
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH (2018)
Heuristic hybrid game approach for fleet condition-based maintenance planning
Qiang Feng et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2017)
A data-driven probabilistic framework towards the in-situ prognostics of fatigue life of composites based on acoustic emission data
Theodoros Loutas et al.
COMPOSITE STRUCTURES (2017)
Effects of condition-based maintenance on costs caused by unscheduled maintenance of aircraft
Mike Gerdes et al.
JOURNAL OF QUALITY IN MAINTENANCE ENGINEERING (2016)
Prediction of Aircraft Failure Times Using Artificial Neural Networks and Genetic Algorithms
Ayca Altay et al.
JOURNAL OF AIRCRAFT (2014)
An approach to operational aircraft maintenance planning
N. Papakostas et al.
DECISION SUPPORT SYSTEMS (2010)
A Methodology for Determining the Return on Investment Associated With Prognostics and Health Management
Kiri Feldman et al.
IEEE TRANSACTIONS ON RELIABILITY (2009)
A review on machinery diagnostics and prognostics implementing condition-based maintenance
Andrew K. S. Jardine et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2006)
Review:: Knowledge management and knowledge management systems:: Conceptual foundations and research issues
M Alavi et al.
MIS QUARTERLY (2001)
Share Paper
