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Articles by Sameer Al-Dahidi
Predictive Modeling of Surface Roughness and Cutting Temperature Using Response Surface Methodology and Artificial Neural Network in Hard Turning of AISI 52100 Steel with Minimal Cutting Fluid Application
1. Introduction The exceptional wear resistance and compressive strength of hardened steels make them a preferred choice for manufacturing heavy machinery components, tools, and automobile parts. Astakhov [1] reported that hard turning offers numerous benefits, including reduced setup times, fewer process steps, flexibility in part geometry, less expensive equipment, and fewer tools.
Forecasting Solar Photovoltaic Power Production: A Comprehensive Review and Innovative Data-Driven Modeling Framework
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
Techno-Economic Assessment of Bifacial Photovoltaic Systems under Desert Climatic Conditions
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
Feature Selection by Binary Differential Evolution for Predicting the Energy Production of a Wind Plant
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
A Reliability and Risk Assessment of Solar Photovoltaic Panels Using a Failure Mode and Effects Analysis Approach: A Case Study
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
Technical, Economic, and Environmental Investigation of Pumped Hydroelectric Energy Storage Integrated with Photovoltaic Systems in Jordan
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
A Sustainable Wind-Biogas Hybrid System for Remote Areas in Jordan: A Case Study of Mobile Hospital for a Zaatari Syrian Refugee Camp
2.5. Optimization Problem In order to obtain the best solution, a nonlinear solving algorithm is used in this work. This algorithm considers several variables that control the hybrid system, where the relationship between the capacities of the system’s components is nonlinear. To evaluate the optimal capacities of these components, the generalized reduced gradient (GRG) algorithm is utilized, which can handle nonlinear inequality constraints.
A novel approach for remaining useful life prediction of high‐reliability equipment based on long short‐term memory and multi‐head self‐attention mechanism
REFERENCES 1. Prognostics and Health Management (PHM): where are we and where do we (need to) go in theory and practice. Reliab Eng Syst Safety. 2022; 218:108119. 2, , . Remaining useful life prediction for complex systems considering varying future operational conditions. Qual Reliab Eng Int. 2022; 38(1): 516–531. 3, , , , . An integrated deep multiscale feature fusion network for aeroengine remaining useful life prediction with multisensor data. Knowl Based Syst. 2022; 235:107652. 4, , , , .
Prediction of Solar Energy Yield Based on Artificial Intelligence Techniques for the Ha’il Region, Saudi Arabia
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