Results 71 to 80 of about 25,964 (155)

Remaining Useful Life (RUL) Prediction Methods for Machine Health Estimation and Fault Diagnosis: A Comprehensive Review of Latest Techniques and Future Prospects

open access: yesEngineering Reports, Volume 8, Issue 4, April 2026.
A comprehensive review of model‐based, data‐driven, and hybrid approaches for Remaining Useful Life (RUL) prediction, emphasizing their role in predictive maintenance, fault diagnosis, and enhancing industrial reliability. ABSTRACT This paper aims to provide a state‐of‐the‐art review of the most recent Remaining Useful Life (RUL) prediction methods ...
Arslan Ahmed Amin   +4 more
wiley   +1 more source

Advection‐Pressure Splitting Schemes Applied to a Non‐Conservative 1D Blood Flow Model With Transport for Arteries and Veins

open access: yesInternational Journal for Numerical Methods in Fluids, Volume 98, Issue 4, Page 398-432, April 2026.
We introduce new efficient and accurate first order finite volume‐type numerical schemes, for the non‐conservative one‐dimensional blood flow equations with transport, taking into account different velocity profiles. The framework is the flux‐vector splitting approach of Toro and Vázquez‐Cendón (2012), that splits the system in two subsystems of PDEs ...
Alessandra Spilimbergo   +3 more
wiley   +1 more source

Quantifying the Effects of Spatial Inhomogeneity in an Autoclave LDPE Reactor Using CFD

open access: yesMacromolecular Reaction Engineering, Volume 20, Issue 2, April 2026.
A CFD simulation incorporating rigorous polymerization chemistry into a plant‐scale sliding mesh reactor with multiple PID controllers revealed axial flow patterns that segment the reactor into smaller compartments with different properties. More evident differences exist between the mixture within the agitator shaft swept volume and that outside of ...
Elijah Yoder, Wayne Strasser
wiley   +1 more source

Approximation of the Pseudospectral Abscissa via Eigenvalue Perturbation Theory

open access: yesNumerical Linear Algebra with Applications, Volume 33, Issue 2, April 2026.
ABSTRACT Reliable and efficient computation of the pseudospectral abscissa in the large‐scale setting is still not settled. Unlike the small‐scale setting where there are globally convergent criss‐cross algorithms, all algorithms in the large‐scale setting proposed to date are at best locally convergent.
Waqar Ahmed, Emre Mengi
wiley   +1 more source

Hitchhiker's Guide to the Swampland: The Cosmologist's Handbook to the String‐Theoretical Swampland Programme

open access: yesFortschritte der Physik, Volume 74, Issue 4, April 2026.
Abstract String theory has strong implications for cosmology, implying the absence of a cosmological constant, ruling out single‐field slow‐roll inflation, and that black holes decay. The origins of these statements are elucidated within the string‐theoretical swampland programme.
Kay Lehnert
wiley   +1 more source

An Effective Physics‐Informed Neural Operator Framework for Predicting Wavefields

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.
Abstract Solving the wave equation is fundamental for many geophysical applications. However, numerical solutions of the Helmholtz equation face significant computational and memory challenges. Therefore, we introduce a physics‐informed convolutional neural operator (CNO) (PICNO) to solve the Helmholtz equation efficiently.
X. Ma, T. Alkhalifah
wiley   +1 more source

Estimating Bottom Topography in Shallow Water Flows

open access: yesJournal of Geophysical Research: Machine Learning and Computation, Volume 3, Issue 2, April 2026.
Abstract We present two methods to estimate bottom topography in a shallow water flow using only surface deformation measurements. One is based on Physics‐Informed Neural Networks (PINNs) and the other on the Adjoint State Method. We test both methods using synthetic data in 1D and 2D cases. Both are able to successfully reconstruct not only the bottom
L. Pancotto, P. Clark Di Leoni
wiley   +1 more source

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