Data sonification of film capacitors

IF 3.8 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC IET Nanodielectrics Pub Date : 2024-03-07 DOI:10.1049/nde2.12078
Yong-Xin Zhang, Di-Fan Liu, Xin-Yi Wei, Xin-Jie Wang, Fang-Yi Chen, Qi-Kun Feng, Wen-Yuan Cao, Wen-Zhuo Dong, Faisal Mehmood Shah, Yu-Xiao Liu, Zhi-Yuan Wu, Jian-Tao Wang, Shao-Long Zhong, Zhi-Min Dang
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Abstract

Film capacitors are playing an increasingly important role in power-related fields, driven by the continuous development of dielectric materials and practical needs. Long-term accumulation has also led to an increasing wealth of data related to film capacitors. Sonification opens up a new way for people to make good use of data from film capacitors. A framework for sonifying film capacitors data based on TwoTone is presented. Based on the analysis and discussion, it is clear that the sonification results can easily represent the monotonic variation pattern of film capacitors data. What's more, the sonification results increase the possibility that people pay attention to the changing trend of film capacitors data when there is no significant difference in the visual perception of the data. In addition to providing a new way of music generation of electrical equipment, the method proposed is expected to contribute to theory reference in typical scenarios, such as factory calibration of film capacitors, monitoring of film capacitor operation status, and presentation of statistical data of film capacitors' dielectric materials, which will help us to better understand the distribution characteristics of polymer films.

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薄膜电容器的数据超声处理
在介电材料不断发展和实际需求的推动下,薄膜电容器在电力相关领域发挥着越来越重要的作用。长期的积累也使得与薄膜电容器相关的数据日益丰富。声学技术为人们充分利用薄膜电容器的数据开辟了一条新途径。本文介绍了基于 TwoTone 的薄膜电容器数据声化框架。通过分析和讨论,我们可以清楚地看到,声化结果可以轻松地表示薄膜电容器数据的单调变化规律。更重要的是,当人们对薄膜电容器数据的视觉感知没有明显差异时,声化结果增加了人们关注薄膜电容器数据变化趋势的可能性。除了提供一种新的电气设备音乐生成方式外,所提出的方法还有望在典型场景中为理论参考做出贡献,例如薄膜电容器的工厂校准、薄膜电容器运行状态的监测以及薄膜电容器介电材料统计数据的呈现,这将有助于我们更好地了解聚合物薄膜的分布特性。
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来源期刊
IET Nanodielectrics
IET Nanodielectrics Materials Science-Materials Chemistry
CiteScore
5.60
自引率
3.70%
发文量
7
审稿时长
21 weeks
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