Challenges and opportunities of AI-enabled monitoring, diagnosis & prognosis: A review
Abstract Prognostics and Health Management (PHM), including monitoring, diagnosis,
prognosis, and health management, occupies an increasingly important position in reducing …
prognosis, and health management, occupies an increasingly important position in reducing …
Analysis of frontier digital technologies in continuing airworthiness management frameworks and applications
Purpose This study aims to elaborate on the existing link between maintenance practices
and the digital world while also highlighting any unaddressed potential for digital …
and the digital world while also highlighting any unaddressed potential for digital …
A survey of modeling for prognosis and health management of industrial equipment
Prognosis and health management plays an important role in the control of costs associated
with operating large industrial equipment, such as wind turbines and aircraft. It is only fair …
with operating large industrial equipment, such as wind turbines and aircraft. It is only fair …
Time-varying trajectory modeling via dynamic governing network for remaining useful life prediction
Remaining useful life (RUL) prediction is highly demanded in modern industry as it provides
a scheduling basis for predictive maintenance. Recently, intelligent data-driven methods …
a scheduling basis for predictive maintenance. Recently, intelligent data-driven methods …
Cumulative damage modeling with recurrent neural networks
RG Nascimento, FAC Viana - AIAA Journal, 2020 - arc.aiaa.org
Maintenance of engineering assets (for example, aircraft, jet engines, and wind turbines) is a
profitable business. Unfortunately, building models that estimate remaining useful life for …
profitable business. Unfortunately, building models that estimate remaining useful life for …
Computational framework for real-time diagnostics and prognostics of aircraft actuation systems
PC Berri, MDL Dalla Vedova, L Mainini - Computers in Industry, 2021 - Elsevier
Prognostics and health management (PHM) are emerging approaches to product life cycle
that will maintain system safety and improve reliability, while reducing operating and …
that will maintain system safety and improve reliability, while reducing operating and …
Learning for predictions: Real-time reliability assessment of aerospace systems
PC Berri, MDL Dalla Vedova, L Mainini - AIAA Journal, 2022 - arc.aiaa.org
Prognostics and health management aim to predict the remaining useful life (RUL) of a
system and to allow a timely planning of replacement of components, limiting the need for …
system and to allow a timely planning of replacement of components, limiting the need for …
[HTML][HTML] Physics-aware multifidelity Bayesian optimization: A generalized formulation
F Di Fiore, L Mainini - Computers & Structures, 2024 - Elsevier
The adoption of high-fidelity models for many-query optimization problems is majorly limited
by the significant computational cost required for their evaluation at every query. Multifidelity …
by the significant computational cost required for their evaluation at every query. Multifidelity …
Knowledge informed machine learning using a weibull-based loss function
T von Hahn, CK Mechefske - arXiv preprint arXiv:2201.01769, 2022 - arxiv.org
Machine learning can be enhanced through the integration of external knowledge. This
method, called knowledge informed machine learning, is also applicable within the field of …
method, called knowledge informed machine learning, is also applicable within the field of …
Fault detection and diagnosis in spacecraft electrical power systems
MA Carbone, KA Loparo - Journal of Aerospace Information Systems, 2023 - arc.aiaa.org
The ability to accurately identify and isolate failures in the electrical power system (EPS) is
critical to ensure the reliability of spacecraft. This paper proposes a novel solution to the …
critical to ensure the reliability of spacecraft. This paper proposes a novel solution to the …