Extraction of time-domain characteristics and selection of effective features using correlation analysis to increase the accuracy of petroleum fluid monitoring systems

AM Mayet, SM Alizadeh, KS Nurgalieva, R Hanus… - Energies, 2022 - mdpi.com
In the current paper, a novel technique is represented to control the liquid petrochemical and
petroleum products passing through a transmitting pipe. A simulation setup, including an X …

Application of wavelet feature extraction and artificial neural networks for improving the performance of gas–liquid two-phase flow meters used in oil and …

S Hosseini, O Taylan, M Abusurrah, T Akilan, E Nazemi… - Polymers, 2021 - mdpi.com
Measuring fluid characteristics is of high importance in various industries such as the
polymer, petroleum, and petrochemical industries, etc. Flow regime classification and void …

Improved artificial neural network with high precision for predicting burnout among managers and employees of start-ups during COVID-19 pandemic

S Sutrisno, N Khairina, RBY Syah, E Eftekhari-Zadeh… - Electronics, 2023 - mdpi.com
Notwithstanding the impact that the Coronavirus pandemic has had on the physical and
psychological wellness of people, it has also caused a change in the psychological …

Diagnosis and classification of disturbances in the power distribution network by phasor measurement unit based on fuzzy intelligent system

M Khosravi, M Trik, A Ansari - The Journal of Engineering, 2024 - Wiley Online Library
The dynamic nature of distribution networks raises fresh issues with how such electrical
systems function. These networks have some characteristics that indicate the need for better …

Introducing a precise system for determining volume percentages independent of scale thickness and type of flow regime

AM Mayet, SM Alizadeh, ZA Kakarash, AA Al-Qahtani… - Mathematics, 2022 - mdpi.com
When fluids flow into the pipes, the materials in them cause deposits to form inside the pipes
over time, which is a threat to the efficiency of the equipment and their depreciation. In the …

Proposing an intelligent technique based on radial basis function neural network to forecast the energy spectrum of diagnostic X-ray imaging systems

C Zhanjian, J Zheng, L Shan, W Wei, W Zhu… - Applied Radiation and …, 2023 - Elsevier
In digital subtraction angiography (digital subtraction total cerebral angiography), cardiac
and macrovascular cardiography, anorectal radiology, fluoroscopy, and computed …

A novel metering system consists of capacitance-based sensor, gamma-ray sensor and ANN for measuring volume fractions of three-phase homogeneous flows

F Fouladinia, SM Alizadeh, EI Gorelkina… - Nondestructive …, 2024 - Taylor & Francis
Measuring the volume fraction of different types of fluids with two or three phases is so vital.
Among all available methods, two of them, capacitance-based and gamma-ray attenuation …

Employing GMDH-type neural network and signal frequency feature extraction approaches for detection of scale thickness inside oil pipelines

AM Iliyasu, AM Mayet, R Hanus, AAA El-Latif… - Energies, 2022 - mdpi.com
In this paper, gamma attenuation has been utilised as a veritable tool for non-invasive
estimation of the thickness of scale deposits. By simulating flow regimes at six volume …

Proposing a high-precision petroleum pipeline monitoring system for identifying the type and amount of oil products using extraction of frequency characteristics and a …

AM Mayet, KS Nurgalieva, AA Al-Qahtani… - Mathematics, 2022 - mdpi.com
Setting up pipelines in the oil industry is very costly and time consuming. For this reason, a
pipe is usually used to transport various petroleum products, so it is very important to use an …

Using particle swarm optimization and artificial intelligence to select the appropriate characteristics to determine volume fraction in two-phase flows

AM Iliyasu, AS Benselama, DK Bagaudinovna… - Fractal and …, 2023 - mdpi.com
Global demand for fossil fuels has increased the importance of flow measurement in the oil
sector. As a result, a new submarket in the flowmeter business has opened up. To improve …