Results 41 to 50 of about 8,181 (194)
This graphical abstract compares circuit‐based, signal‐processing‐based, and intelligent‐learning‐based approaches for secondary arc‐fault detection, highlighting their key principles and practical advantages. ABSTRACT Reliable detection of free‐air electric arc faults in high‐voltage overhead transmission lines, together with accurate discrimination ...
Mahyar Abasi +2 more
wiley +1 more source
Rao-Blackwellized particle smoothers for conditionally linear Gaussian models
Sequential Monte Carlo (SMC) methods, such as the particle filter, are by now one of the standard computational techniques for addressing the filtering problem in general state-space models.
Bunch, Pete +4 more
core +1 more source
A patient‐specific Fluid–structure Interaction (FSI) model of aortic stenosis was verified against in vitro experiments using a mock‐loop circulatory system with patient‐specific calcified and non‐calcified valve models under varying flow conditions. The in vitro experiments were replicated in the FSI model.
Sabine Verstraeten +9 more
wiley +1 more source
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
ABSTRACT Prognostics and health management are crucial for the reliability and lifetime assessment of polymer electrolyte fuel cells (PEFCs). Here, we review the current advances on this topic, focusing mainly on key degradation mechanisms and methodologies such as physics‐aware, data‐driven, and hybrid modeling approaches.
Farideh Abdollahi +5 more
wiley +1 more source
Novel Mobile Robot Simultaneous Loclization and Mapping Using Rao-Blackwellised Particle Filter
This paper presents the novel method of mobile robot simultaneous localization and mapping (SLAM), which is implemented by using the Rao-Blackwellised particle filter (RBPF) for monocular vision-based autonomous robot in unknown indoor environment.
Li Maohai, Hong Bingrong, Luo Ronghua
doaj +1 more source
Two Stage Particle Filter for Nonlinear Bayesian Estimation
The past several decades have witnessed the successful application of sequential Monte Carlo method (or particle filter) to a variety of fields. It has grown to be a popular method in solving different kinds of nonlinear Bayesian estimation problems ...
Fasheng Wang +3 more
doaj +1 more source
Improved Interacting Multiple Model Particle Filter Algorithm [PDF]
For the issue of limited filtering accuracy of interactive multiple model particle filter algorithm caused by the resampling particles don't contain the latest observation information, we made improvements on interactive multiple model particle filter ...
doaj +1 more source
Accurate State of Charge Estimation in Lithium‐Ion Batteries by Second‐Order Sliding Mode Observer
A finite‐time second‐order sliding mode observer (SO‐SMO) is proposed for accurate and robust state‐of‐charge estimation in lithium‐ion batteries, achieving fast convergence, chattering elimination, and superior estimation accuracy compared to conventional methods, making it ideal for real‐time battery management applications in electric and hybrid ...
Mohammad Asadi +5 more
wiley +1 more source
Autonomous planetary rovers operate in GPS‐denied, low‐texture, crater‐rich environments where traditional SLAM‐based navigation systems suffer from localization drift and unreliable obstacle handling. To address these challenges, this work proposes a Space‐ROS–based autonomous navigation framework integrating ROS2 with the NAV2 stack, RTAB‐Map visual ...
Imnul Haque Ruman Talukder +5 more
wiley +1 more source

