A systematic literature review of predictive maintenance for defence fixed-wing aircraft sustainment and operations
In recent decades, the increased use of sensor technologies, as well as the increase in
digitalisation of aircraft sustainment and operations, have enabled capabilities to detect …
digitalisation of aircraft sustainment and operations, have enabled capabilities to detect …
Physics-informed machine learning in prognostics and health management: State of the art and challenges
Prognostics and health management (PHM) plays a constructive role in the equipment's
entire life health service. It has long benefited from intensive research into physics modeling …
entire life health service. It has long benefited from intensive research into physics modeling …
A machine-learning based data-oriented pipeline for prognosis and health management systems
MLH Souza, CA da Costa, G de Oliveira Ramos - Computers in Industry, 2023 - Elsevier
The search for effective asset utilization has been constant, especially in industries with
evolving mechanization. In this context, maintenance management gains visibility because it …
evolving mechanization. In this context, maintenance management gains visibility because it …
A systematic method of remaining useful life estimation based on physics-informed graph neural networks with multisensor data
Data-driven models, especially deep learning models, are proposed for remaining useful life
(RUL) estimation with multisensor signals. Various treatments to reduce data sensitivity …
(RUL) estimation with multisensor signals. Various treatments to reduce data sensitivity …
A review of physics-based learning for system health management
The monitoring process for complex infrastructure requires collecting various data sources
with varying time scales, resolutions, and levels of abstraction. These data sources include …
with varying time scales, resolutions, and levels of abstraction. These data sources include …
[HTML][HTML] Training of physics-informed Bayesian neural networks with ABC-SS for prognostic of Li-ion batteries
The current surge in the need for Li-ion batteries to power electric vehicles has also
translated in a need for more advanced models that can predict their behavior, but also …
translated in a need for more advanced models that can predict their behavior, but also …
An unsupervised approach for health index building and for similarity-based remaining useful life estimation
Predictive maintenance techniques attempt to trigger a maintenance intervention at the right
moment by estimating the life expectation. Predictive maintenance is increasingly …
moment by estimating the life expectation. Predictive maintenance is increasingly …
Clustering federated learning for bearing fault diagnosis in aerospace applications with a self-attention mechanism
Bearings, as the key mechanical components of rotary machinery, are widely used in
modern aerospace equipment, such as helicopters and aero-engines. Intelligent fault …
modern aerospace equipment, such as helicopters and aero-engines. Intelligent fault …
[HTML][HTML] DESIGN and be SMART: Eleven engineering challenges to achieve sustainable air transportation under safety assurance in the year 2050
The aviation industry faces various challenges in meeting long-term sustainability goals
amidst surging demand for air travel and growing environmental concerns of the general …
amidst surging demand for air travel and growing environmental concerns of the general …
Dealing with prognostics uncertainties: Combination of direct and recursive remaining useful life estimations
Data-driven prognostics and health management is an important part of the future industry. It
allows the detection of system faults and estimation of its remaining useful life (RUL) to …
allows the detection of system faults and estimation of its remaining useful life (RUL) to …