[PDF][PDF] Optimization of a 660 MW e supercritical power plant performance—a case of industry 4.0 in the data-driven operational management part 1. Thermal efficiency

WM Ashraf, GM Uddin, SM Arafat, S Afghan… - …, 2020 - publications.rwth-aachen.de
This paper presents a comprehensive step-wise methodology for implementing industry 4.0
in a functional coal power plant. The overall efficiency of a 660 MWe supercritical coal-fired …

[HTML][HTML] Sensitivity analysis to reduce duplicated features in ANN training for district heat demand prediction

S Chen, Y Ren, D Friedrich, Z Yu, J Yu - Energy and AI, 2020 - Elsevier
Artificial neural network (ANN) has become an important method to model the nonlinear
relationships between weather conditions, building characteristics and its heat demand. Due …

[HTML][HTML] Artificial intelligence based operational strategy development and implementation for vibration reduction of a supercritical steam turbine shaft bearing

WM Ashraf, Y Rafique, GM Uddin, F Riaz… - Alexandria Engineering …, 2022 - Elsevier
The vibrations of bearings holding the high-speed shaft of a steam turbine are critically
controlled for the safe and reliable power generation at the power plants. In this paper, two …

A model review for controller-hardware-in-the-loop simulation in EV powertrain application

W Gong, C Liu, X Zhao, S Xu - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This article summarizes the state-of-the-art model for controller hardware-in-the-loop
simulations (CHILs) used in electric vehicle (EV) powertrains. The main task is to discuss the …

Optimizing high-speed rotating shaft vibration control: Experimental investigation of squeeze film dampers and a comparative analysis using Artificial Neural Networks …

RK Gupta, RC Singh - Expert Systems with Applications, 2024 - Elsevier
This research paper presents a comprehensive experimental and statistical approach for the
analysis of vibration amplitudes in a high-speed rotating shaft employing a squeeze film …

Construction of operational data-driven power curve of a generator by industry 4.0 data analytics

WM Ashraf, GM Uddin, M Farooq, F Riaz, HA Ahmad… - Energies, 2021 - mdpi.com
Constructing the power curve of a power generation facility integrated with complex and
large-scale industrial processes is a difficult task but can be accomplished using Industry 4.0 …

ANN-based robust current controller for single-stage grid-connected PV with embedded Improved MPPT scheme

PR Bana, S D'Arco, M Amin - IEEE Access, 2024 - ieeexplore.ieee.org
There has been growing interest in single-stage grid-connected photovoltaic (PV) systems
due to their reduced losses and overall size, as they eliminate the intermediate DC-DC …

Machine learning-assisted device modeling with process variations for advanced technology

Y Lyu, W Chen, M Zheng, B Yin, J Li… - IEEE Journal of the …, 2023 - ieeexplore.ieee.org
Process variations (PV), including global variation (GV) and local variation (LV), have
become one of the major issues in advanced technologies, which is crucial for circuit …