Results 61 to 70 of about 3,355 (179)

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

Engineering 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, Ansa Mubarak, Saba Waseem, Zuhair A. Alqarni, Habib Ullah Manzoor   +4 more
wiley   +1 more source

Unscented Kalman Filter for Brain-Machine Interfaces

PLoS ONE, 2009
Brain machine interfaces (BMIs) are devices that convert neural signals into commands to directly control artificial actuators, such as limb prostheses. Previous real-time methods applied to decoding behavioral commands from the activity of populations of neurons have generally relied upon linear models of neural tuning and were limited in the way they
Zheng Li, Joseph E O'Doherty, Timothy L Hanson, Mikhail A Lebedev, Craig S Henriquez, Miguel A L Nicolelis   +5 more
openaire   +4 more sources

Prognostics and Health Management in Polymer Electrolyte Fuel Cells: Current Trends, Challenges, and Future Directions

Fuel Cells, Volume 26, Issue 2, April 2026.
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, Kourosh Malek, Thomas Kadyk, Nadiia Kulyk, Christophe Gerling, Michael H. Eikerling   +5 more
wiley   +1 more source

Quadrature Kalman filter–based state of charge estimation for lithium-ion battery

Advances in Mechanical Engineering, 2020
This article presents an approach to lithium-ion battery state of charge estimation based on the quadrature Kalman filter. Among the existing state of charge estimation approaches, the extended Kalman filter–based state of charge and unscented filter ...
Mengtao Huang, Chao Wang, Bao Liu, Fan Wang, Jingting Wang   +4 more
doaj   +1 more source

Machine learning of radial basis function neural network based on Kalman filter: Introduction [PDF]

Tehnika, 2014
This paper analyzes machine learning of radial basis function neural network based on Kalman filtering. Three algorithms are derived: linearized Kalman filter, linearized information filter and unscented Kalman filter.
Vuković Najdan L., Miljković Zoran Đ.
doaj   +1 more source

Degeneracy Sensing Light Detection and Ranging‐Inertial Simultaneous Localization and Mapping with Dual‐Layer Resistant Odometry and Scan‐Context Loop‐Closure Detection Backend in Diverse Environments

Advanced Intelligent Systems, Volume 8, Issue 3, March 2026.
This paper presents a degeneracy‐aware light detection and ranging (LiDAR)‐inertial framework that enhances LiDAR simultaneous localization and mapping performance in challenging environments. The proposed system integrates a dual‐layer robust odometry frontend with a Scan‐Context‐based loop‐closure detection backend.
Haoming Yang, Liye Zhao, Xukai Ding, Wenjun Li, Kehao Qi   +4 more
wiley   +1 more source

State of Charge Estimation of EV Secondary Battery Pack Using Hybrid Hedge Feedforward Feedback‐Based Gated Recurrent Unit to Extend Lifespan

Battery Energy, Volume 5, Issue 2, March 2026.
SOC estimation is performed using a newly developed online HFF‐GRU method. Improves charge balancing among battery cells, leading to a substantial increase in the battery pack's lifespan. ABSTRACT Accurate estimation of state of charge (SoC) and maintaining balanced charge levels across secondary battery cells are crucial in battery management systems (
Md Ohirul Qays, Iftekhar Ahmad, Daryoush Habibi, Mohammad A. S. Masoum, Paul Moses   +4 more
wiley   +1 more source

A Dynamic State-of-Charge Estimation Method for Electric Vehicle Lithium-Ion Batteries

Energies, 2019
With the increasing environmental concerns, plug-in electric vehicles will eventually become the main transportation tools in future smart cities. As a key component and the main power source, lithium-ion batteries have been an important object of ...
Xintian Liu, Xuhui Deng, Yao He, Xinxin Zheng, Guojian Zeng   +4 more
doaj   +1 more source

Accurate State of Charge Estimation in Lithium‐Ion Batteries by Second‐Order Sliding Mode Observer

Battery Energy, Volume 5, Issue 2, March 2026.
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, Vahid Behnamgol, Mona Faraji Niri, Mohamed Mohamed, Uchenna Diala, Behnaz Sohani   +5 more
wiley   +1 more source

Performance analysis of state of charge and state of health prediction using Kalman filter techniques with battery parameter variation

Global Energy Interconnection
Accurate estimation of the State of Charge (SOC), State of Health (SOH), and Terminal Resistance (TR) is crucial for the effective operation of Battery Management Systems (BMS) in lithium-ion batteries.
Ranagani Madhavi, Indragandhi Vairavasundaram   +1 more
doaj   +1 more source