A review of artificial intelligence methods for condition monitoring and fault diagnosis of rolling element bearings for induction motor

O AlShorman, M Irfan, N Saad, D Zhen… - Shock and …, 2020 - Wiley Online Library
The fault detection and diagnosis (FDD) along with condition monitoring (CM) and of rotating
machinery (RM) have critical importance for early diagnosis to prevent severe damage of …

Sounds and acoustic emission-based early fault diagnosis of induction motor: A review study

O AlShorman, F Alkahatni, M Masadeh… - Advances in …, 2021 - journals.sagepub.com
Nowadays, condition-based maintenance (CBM) and fault diagnosis (FD) of rotating
machinery (RM) has a vital role in the modern industrial world. However, the remaining …

A review for control theory and condition monitoring on construction robots

H Shi, R Li, X Bai, Y Zhang, L Min… - Journal of Field …, 2023 - Wiley Online Library
The application of robotic technologies in building construction leads to great convenience
and productivity improvement, and construction robots (CRs) bring enormous opportunities …

Some Features of Classifiers Implementation for Object Recognition in Specialized Computer systems.

AT Abu-Jassar, YM Al-Sharo, V Lyashenko, S Sotnik - TEM Journal, 2021 - ceeol.com
Generalized formalization of recognition algorithm for specialized computer systems is
presented in this paper. The structure features of image recognition methods, which have to …

A fusion method of local path planning for mobile robots based on LSTM neural network and reinforcement learning

N Guo, C Li, T Gao, G Liu, Y Li… - … Problems in Engineering, 2021 - Wiley Online Library
Due to the limitation of mobile robots' understanding of the environment in local path
planning tasks, the problems of local deadlock and path redundancy during planning exist in …

Research on motion planning based on flocking control and reinforcement learning for multi-robot systems

M Wang, B Zeng, Q Wang - Machines, 2021 - mdpi.com
Robots have poor adaptive ability in terms of formation control and obstacle avoidance
control in unknown complex environments. To address this problem, in this paper, we …

Modeling and trajectory planning optimization for the symmetrical multiwheeled omnidirectional mobile robot

E Almasri, MK Uyguroğlu - Symmetry, 2021 - mdpi.com
Trajectory optimization is the series of actions that are taken into consideration in order to
produce the best path such that it improves the overall performances of physical properties …

Formation control of multiple mecanum-wheeled mobile robots with physical constraints and uncertainties

D Wang, W Wei, X Wang, Y Gao, Y Li, Q Yu, Z Fan - Applied Intelligence, 2022 - Springer
Aiming at the formation control of multiple Mecanum-wheeled mobile robots (MWMRs) with
physical constraints and model uncertainties, a novel robust control scheme that combines …

[PDF][PDF] A review of intelligent methods for condition monitoring and fault diagnosis of stator and rotor faults of induction machines.

O Alshorman, A Alshorman - International Journal of …, 2021 - pdfs.semanticscholar.org
Nowadays, induction motor (IM) is extensively used in industry, including mechanical and
electrical applications. However, three main types of IM faults have been discussed in the …

Fractional order sliding mode control for an omni-directional mobile robot based on self-organizing interval type-2 fuzzy neural network

T Zhao, P Qin, S Dian, B Guo - Information Sciences, 2024 - Elsevier
Four-wheeled omnidirectional mobile robots (FM-OMR) are widely used in various fields
due to their excellent steering ability and adaptability. As application scenarios expand …