使用人工智能进行弧形故障检测:挑战和好处
Chunpeng Tian1, Zhaoyang Xu2, Lukun Wang1
1College of Intelligent Equipment, Shandong University of Science and Technology, Taian 271019, China.
Mathematical biosciences and engineering : MBE
|July 28, 2023
概括
人工智能 (AI) 显著提高了电弧故障检测的准确性和速度,提高了电气安全. 然而,错过检测和有限数据等挑战需要进一步研究,以便广泛应用人工智能.
科学领域:
- 电气工程 电气工程
- 人工智能应用程序 人工智能应用程序
- 安全系统 安全系统
背景情况:
- 电力需求的增加和能源系统的扩张增加了电弧故障和火灾风险.
- 电弧故障对电气安全构成重大关注.
- 传统的检测方法在应对这些日益增长的风险方面存在局限性.
研究的目的:
- 系统地审查最近在电弧故障检测方面的进展.
- 研究人工智能 (AI) 在电弧故障检测中的作用和影响.
- 确定AI在这个领域的优势和当前的局限性.
主要方法:
- 系统性文献审查方法.
- 包括63篇精心挑选的文章进行分析.
- 专注于研究详细介绍AI应用在弧形故障检测中的研究.
主要成果:
- 人工智能显著提高了电弧故障检测的准确性和速度.
- 人工智能可以针对特定故障类型进行定制,提高检测效率.
- 确定的挑战包括错过/错误检测,有限的神经网络适用性和数据稀缺性.
结论:
- 人工智能证明了在弧形故障检测方面具有变革潜力.
- 人工智能为改善整体电气安全提供了巨大的希望.
- 解决已确定的挑战对于在电气安全领域更广泛地实施人工智能至关重要.
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