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Walter Nsengiyumva

Researcher at Fuzhou University

Publications -  23
Citations -  413

Walter Nsengiyumva is an academic researcher from Fuzhou University. The author has contributed to research in topics: Composite number & Engineering. The author has an hindex of 5, co-authored 14 publications receiving 176 citations. Previous affiliations of Walter Nsengiyumva include Fujian Agriculture and Forestry University.

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Recent advancements and challenges in Solar Tracking Systems (STS): A review

TL;DR: In this paper, the authors review the most commonly used solar trackers and identify the systems that offer benefits such as greater efficiency, greater tracking accuracy, easy installation and cost effectiveness.
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Advances, limitations and prospects of nondestructive testing and evaluation of thick composites and sandwich structures: A state-of-the-art review

TL;DR: In this article, the authors review the recent advances in nondestructive testing and evaluation (NDT&E) as applied to the inspection of thick composite parts and sandwich structures and determine possible research prospects to address the limitations of current technologies.
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Thin thermally grown oxide thickness detection in thermal barrier coatings based on SWT-BP neural network algorithm and terahertz technology.

TL;DR: In this study, an SWT-BP algorithm combining a stationary wavelet transform and a backpropagation (BP) neural network was proposed, and it demonstrated that the proposed algorithm was able to achieve a thickness prediction of up to 1-29 µm of the TGO.
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Concentrated Solar Power and Photovoltaic Systems: A New Approach to Boost Sustainable Energy for All (Se4all) in Rwanda

TL;DR: In this article, the authors conducted a SWOT analysis for concentrated solar power (CSP) and photovoltaic (PV) systems in Rwanda and concluded that the off-grid PV microgrid system for the rural community is the most cost-effective because of its low net present cost (NPC).