The use of MD-CUMSUM and NARX neural network for anticipating the remaining useful life of bearings

A Rai, SH Upadhyay - Measurement, 2017 - Elsevier
The accurate determination of remaining useful life (RUL) of bearings is of immense
importance in the condition-based maintenance of any rotating machinery. In this paper, a …

A new method for power system load modeling using a nonlinear system identification estimator

MG Jahromi, SD Mitchell, G Mirzaeva… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
This paper proposes a new method for measurement-based modeling of nonlinear loads in
power systems. The proposed method includes a combination of a binary tree algorithm with …

Binary particle swarm optimization for feature selection in detection of infants with hypothyroidism

A Zabidi, LY Khuan, W Mansor… - … Conference of the …, 2011 - ieeexplore.ieee.org
Hypothyroidism in infants is caused by the insufficient production of hormones by the thyroid
gland. Due to stress in the chest cavity as a result of the enlarged liver, their cry signals are …

Comparison between PSO and OLS for NARX parameter estimation of a DC motor

MSA Mohamad, IM Yassin, A Zabidi… - … IEEE Symposium on …, 2013 - ieeexplore.ieee.org
Recent works suggest that the Particle Swarm Optimization (PSO) algorithm is a highly-
efficient optimization technique for structure selection of NARMAX and its derivative models …

[HTML][HTML] Two-phase heat transfer microchannel system identification with Particle Swarm Optimization (PSO) approach

HM Yatim, N Mohd-Ghazali, M Mohamad… - International Journal of …, 2023 - Springer
The complex behavior of two-phase flow particularly in microchannels can be unpredictable.
Experimental measurements are near impossible because of the unavailable compatible …

Optimizations of NARX lag space selection for a Multi-Layer Perceptron (MLP)-based model of a down-flowing steam distillation system using Particle Swarm …

MNN Nordin, MHF Rahiman, R Adnan… - 2012 IEEE 8th …, 2012 - ieeexplore.ieee.org
This paper presents an application of the Particle Swarm Optimization (PSO) algorithm to
perform lag space selection for a Multi-Layer Perceptron (MLP)-based Non-Linear …

Comparison between PSO, NE, QR, SVD methods for least squares DC motor identification

SM Abdullah, IM Yassin… - 2015 IEEE Symposium on …, 2015 - ieeexplore.ieee.org
This paper explores the application of the Particle Swarm Optimization (PSO) algorithm for
parameter estimation of a Nonlinear Auto-Regressive with Exogeneous Model (NARX) of a …

System identification of ethane-ethylene distillation process using linear and nonlinear ARX approaches

I Rustam, I Ismail, AA Ishak… - 2013 IEEE 4th Control and …, 2013 - ieeexplore.ieee.org
This paper present a comparison study toward process modeling and identification using
linear ARX and Nonlinear ARX (NARX) approaches in an attempt to capture the dynamics of …

Caracterização de agrupamentos de termos na seleção de estruturade modelos polinomiais NARX

A Verly - 2012 - repositorio.ufmg.br
A modelagem de sistemas está presente em praticamente todas as áreas da ciência.
Todavia, nem sempre é uma tarefa fácil modelar sistemas por meio de leis físicas que …

[PDF][PDF] DC MICROGRID FOR MOBILE MINING EQUIPMENT

MG Jahromi - 2017 - nova.newcastle.edu.au
I have appreciated the support of the CRC Mining or providing me with the fantastic
opportunity to start this journey in the first place. To the Electrical Engineering technical staff …