Reliability Analysis of Aeroengine Teaching System Based on Virtual Reality Technology
Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, ISSN: 1867-822X, Vol: 549 LNICST, Page: 224-238
2024
- 5Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Captures5
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Conference Paper Description
The emergence of virtual reality technology provides new technological support for the development of teaching, enabling students to immerse themselves more in the teaching environment. However, there is relatively little research on the application of virtual reality technology in aviation engine teaching, which cannot guarantee its reliability. Therefore, a reliability analysis study of aviation engine teaching system based on virtual reality technology is proposed. Select the professional virtual reality modeling and simulation software LabVIEW to construct a three-dimensional model of an aviation engine, design a human-computer interaction teaching process, build a three-dimensional vision model based on the principle of human eye stereo vision, analyze the generation of three-dimensional graphics in the computer, and thus achieve the operation of the aviation engine teaching system. The experimental data shows that under different experimental conditions, the maximum display integrity of the teaching scene obtained after the application of the designed system is 98%, and the maximum success rate of human-machine interaction in the teaching process is 96%, fully confirming the stronger reliability of the designed system.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85189316310&origin=inward; http://dx.doi.org/10.1007/978-3-031-50549-2_16; https://link.springer.com/10.1007/978-3-031-50549-2_16; https://dx.doi.org/10.1007/978-3-031-50549-2_16; https://link.springer.com/chapter/10.1007/978-3-031-50549-2_16
Springer Science and Business Media LLC
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