Results 71 to 80 of about 2,636 (193)
This paper proposes a decentralized peer‐to‐peer federated learning framework for wind turbine bearing remaining useful life prediction, introducing a virtual client paradigm in which statistical health indicators serve as independent feature‐level clients—enabling privacy‐preserving collaborative prognostics from a single physical asset under ...
Jihene Sidhom +2 more
wiley +1 more source
Deterministic Fiber‐Optic Spectral Engineering Enables Three‐Color Multiplexed Two‐Photon Microscopy
A simulation‐guided spectral‐engineering framework maps the nonlinear parameter space of a fiber laser platform to identify balanced three‐band excitation states. The resulting 960, 1080, and 1175 nm femtosecond pulses deliver nJ‐level energies for low‐cross‐talk chromatically multiplexed two‐photon microscopy.
Marvin Edelmann +5 more
wiley +1 more source
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
ABSTRACT Purpose To highlight retinal ischemia as an important component of diabetic retinopathy (DR) pathogenesis, a significant prognostic factor, and a driver of various DR complications, including neovascularization. We aim to describe the main features of ischemic areas that can be identified through fundoscopy, color fundus photography, optical ...
Marina Guro +6 more
wiley +1 more source
A Copula-based sampling method for data-driven prognostics and health management
Click on the DOI link to access the article (may not be free),This paper develops a Copula-based sampling method for data-driven prognostics and health management (PHM).
Hu, Chao +7 more
core +1 more source
Analytical health indices : towards reliability-informed deep learning for PHM [PDF]
Deep learning has demonstrated significant potential for prognostics in complex systems (Fink et al., 2020). Recent advances in physics-informed machine learning have integrated physics-of-failure principles within data-driven models (AriasChao, Kulkarni,
Arias Chao, Manuel +3 more
core +2 more sources
PHM Design Based on Cooperative Design
For complex systems, such as the aircraft, the implementation of prognostics and health management (PHM) techniques can effectively improves the system performance and achieves the required reliability, safety and supportability.
Y. Ma, W. Zhang
doaj +1 more source
Workflow for BICC1 interactome characterization in HEK293T cells. Cells expressing FLAG‐tagged BICC1 (full‐length or ΔSAM) were subjected to co‐immunoprecipitation under RNA‐preserved (−) or RNase‐treated (+) conditions (1). Interacting proteins were identified by LC–MS/MS (2) and analyzed through protein–protein interaction networks and functional ...
Heloísa Monteiro do Amaral‐Prado +7 more
wiley +1 more source
Ethics in prognostics and health management
As we are entering an era where intelligent systems are omnipresent and where they also penetrate Prognostics and Health Management (PHM), the discussion of moral machines or ethics in engineering will inevitably engulf PHM as well. This article explores
Bajawa, Anupa, +2 more
core +1 more source
ABSTRACT This service evaluation of a primary care‐based specialist weight management service reports data from 1094 patients over 5 years (2014–2019), including weight data at 1‐year post‐discharge. The results show clinically and statistically significant improvements in weight, diet, physical activity, quality of life, blood pressure and blood ...
Helen M. Parretti +4 more
wiley +1 more source

