Results 71 to 80 of about 1,966 (214)

Perspectives on the commercial development of landing gear health monitoring systems [PDF]

, 2011
The development of health monitoring technologies for aerospace systems creates a number of challenges for the community of engineers and technical specialists as they seek to integrate the technology into well defined working practices. These challenges
Starr, Andrew, Andrew Starr, Diston, Dominic, Starr, Andrew G., Dominic Diston, Phillips, Paul, Paul Phillips   +6 more
core   +1 more source

Physics‐Informed Artificial Intelligence for Battery Degradation, Aging, and Lifetime Prediction

Battery Energy, Volume 5, Issue 4, July 2026.
By embedding battery degradation physics into data‐driven learning, physics‐informed artificial intelligence enforces physical consistency, degradation awareness, and uncertainty modeling, enabling robust lifetime prediction, digital‐twin representation, and decision‐reliable battery management beyond purely empirical approaches.
Mohamad Fani Sulaima, Sunny Arora, Robert Frischer, Hamidreza Namazi   +3 more
wiley   +1 more source

Embodied Interoception Questionnaire (Intero‐10): Development, Validation, and Application in People With Neuropathic Chronic Pain

European Journal of Pain, Volume 30, Issue 6, July 2026.
ABSTRACT Background Embodied interoception refers to the perception of the body's state and is a multidimensional cognitive process. Pain experience feeds interoceptive networks with information from the state of the body and the subjective experience of pain would be influenced by an individual's trait embodied interoceptive profile.
Ana Mércia Fernandes, Vinicius D. de Oliveira, Carolina C. dos Santos, Samantha K. Millard, Jorge A. M. P. Júnior, Marcell M. Barbosa, Pedro N. Martins, Suzana C. Nogueira, Maercio M. Alves, Pedro H. M. da Cunha, Danielle C. Fonseca, Luccas S. LaFerreira, Paulo R. Santos‐Silva, Nayara S. Carvalho, Vinícius C. Iamonti, Celso R. F. Carvalho, Camila S. Dale, Gabriel T. Kubota, Lin T. Yeng, Manoel J. Teixeira, Abrahão F. Baptista, Interoception Study Group, Alexandre Okano, Andrea Cecilia Toscanini, Caroline Silvério Faria, Catarina Couras Lins, Clarice Tanaka, Cristiano Mendes Gomes, Dan L. Waitzberg, Nelson Torro‐Alves, Paulo Afonso de André, Paulo Saldiva, Poul Dane Bonde‐Henriksen, Rosa Hasan, Tomas Navarro‐Rodriguez, Valquiria A. Silva, Daniel Ciampi de Andrade   +36 more
wiley   +1 more source

Spatial and vertical distribution of redox‐sensitive elements and their controlling factors in deep soils under contrasting land cover in the Gulf Coastal Plains

Vadose Zone Journal, Volume 25, Issue 4, July/August 2026.
Abstract Redox processes in soil governs key biogeochemical cycles and influence carbon, nitrogen, and phosphorus dynamics. However, their role in deep vadose zone soils remains poorly understood, particularly in variably saturated environments with heterogeneous hydroclimatic, landscape position, and land use conditions.
Amir Sedaghatdoost, Binayak P. Mohanty
wiley   +1 more source

Machine Learning Approaches for Diagnostics and Prognostics of Industrial Systems Using Open Source Data from PHM Data Challenges: A Review

International Journal of Prognostics and Health Management
In the field of Prognostics and Health Management (PHM), recent years have witnessed a significant surge in the application of machine learning (ML). Despite this growth, the field grapples with a lack of unified guidelines and systematic approaches for ...
Hanqi Su, Jay Lee
doaj   +1 more source

Disentangling Aleatoric and Epistemic Uncertainty in Physics‐Informed Neural Networks: Application to Insulation Material Degradation Prognostics

Advanced Intelligent Systems, Volume 8, Issue 6, June 2026.
Physics‐Informed Neural Networks (PINNs) provide a framework for integrating physical laws with data. However, their application to Prognostics and Health Management (PHM) remains constrained by the limited uncertainty quantification (UQ) capabilities.
Ibai Ramirez, Jokin Alcibar, Joel Pino, Mikel Sanz, Jose I. Aizpurua   +4 more
wiley   +1 more source

RUL Prediction of Rolling Bearings via Adaptive Multi‐Scale Feature Alignment and Semantic Fusion

Engineering Reports, Volume 8, Issue 6, June 2026.
An adaptive multi‐scale framework integrates denoising, feature fusion, and degradation‐stage‐driven alignment to suppress noise, capture local–global degradation patterns, and enable robust and accurate remaining useful life prediction. ABSTRACT Remaining useful life (RUL) prediction of rolling bearings is essential for intelligent maintenance and ...
Yuanyuan Wu, Ning Li
wiley   +1 more source

Cybersecurity in Prognostics and Health Management

PHM continues to show its value by improving operational efficiencies, increasing safety, reducing downtime, and decreasing cost of operations. PHM technologies are therefore not only being deployed as retrofit solutions but are being integrated into new
Goebel, Kai,, Goebel, Kai
core   +1 more source

Prognostics for electronics components of avionics - NASA IGBT accelerated ageing case study [PDF]

, 2013
Insulate gate bipolar transistors (IGBTs) are widely used in electric vehicles, railway locomotive and new generation aircrafts, due to the IGBTs have advantages in small conduction resistance and small drive current.
Xie, Yuan'an
core  

Deployment of prognostics to optimize aircraft maintenance: A literature review

, 2019
Historic records show that the cost of operating and supporting an aircraft may exceed the initial purchase price as much as ten times. Maintenance, repair and overhaul activities represent around 10-15% of an airlines annual operational costs. Therefore,
Sprong, Jorben (author), Polinder, H. (author), Jiang, X. (author)   +2 more
core   +1 more source