Particle filter-based fault detection for toolface measurement of rotary steerable systems

L Sheng, Y Niu, M Gao, Y Geng… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In this article, the problem of accelerometer fault detection is studied for the rotary steerable
drilling tool system (RSDTS) which is modeled by a nonlinear stochastic system. Owing to …

A combined matching algorithm for underwater gravity-aided navigation

Y Han, B Wang, Z Deng, M Fu - IEEE/ASME transactions on …, 2017 - ieeexplore.ieee.org
A matching algorithm is a key technique in the gravity-aided inertial navigation system (INS).
A matching algorithm combined with an iterated closest contour point (ICCP) algorithm and …

A filtered-marine map-based matching method for gravity-aided navigation of underwater vehicles

B Wang, Z Ma, L Huang, Z Deng… - IEEE/ASME Transactions …, 2022 - ieeexplore.ieee.org
Gravity-aided inertial navigation system (INS) has been widely applied in the application of
autonomous underwater vehicle. Due to the uneven distribution of the gravitational field, the …

Creating a robot localization monitor using particle filter and machine learning approaches

M Eder, M Reip, G Steinbauer - Applied Intelligence, 2022 - Springer
Robot localization is a fundamental capability of all mobile robots. Because of uncertainties
in acting and sensing, and environmental factors such as people flocking around robots …

Kinect v2 sensor-based mobile terrestrial laser scanner for agricultural outdoor applications

JR Rosell-Polo, E Gregorio, J Gené… - IEEE/ASME …, 2017 - ieeexplore.ieee.org
Mobile terrestrial laser scanners (MTLS), based on light detection and ranging sensors, are
used worldwide in agricultural applications. MTLS are applied to characterize the geometry …

Nonstationary bubble shape determination in electrical impedance tomography combining Gauss–Newton optimization with particle filter

BF de Moura, MF Martins, FHS Palma, WB da Silva… - Measurement, 2021 - Elsevier
Abstract Electrical Impedance Tomography (EIT) is a technique utilized in multiphase flow
for identifying flow patterns and void-fraction calculation. An image made of the conductivity …

Improved nonlinear finite-memory estimation approach for mobile robot localization

SS Lee, DH Lee, DK Lee… - IEEE/ASME Transactions …, 2022 - ieeexplore.ieee.org
In this article, we present a new mobile robot localization algorithm. The Kalman filter (KF)
and particle filter (PF), which are widely used in localization problems, may show poor …

Mobile robot localization based on the novel leader-based bat algorithm

WA Neto, MF Pinto, ALM Marcato, IC da Silva… - Journal of Control …, 2019 - Springer
This work proposes a new approach to the well-known method bat algorithm for solving the
mobile robots global localization problem. The proposed method is leader-based bat …

Mobile robot localization based on PSO estimator

R Havangi - Asian Journal of Control, 2019 - Wiley Online Library
Localization is fundamental to autonomous operation of the mobile robot. A particle filter
(PF) is widely used in mobile robot localization. However, the robot localization based PF …

Automatic gap tracking during high power laser welding based on particle filtering method and BP neural network

Y Zhang, D You, X Gao, SJ Na - The International Journal of Advanced …, 2018 - Springer
A numerical simulation model was established to investigate characteristics of keyhole and
molten pool during the laser butt welding. The sharp point in front of the keyhole and molten …