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部分放电分析的先进信号处理方法:一篇综述
He Wen1, Mohamad Sofian Abu Talip1, Mohamadariff Othman1
1Department of Electrical Engineering, Faculty of Engineering, Universiti Malaya, Kuala Lumpur 50603, Malaysia.
Sensors (Basel, Switzerland)
|December 11, 2025
概括
本综述涵盖部分放电 (PD) 分析的先进信号处理,比较传统和人工智能方法. 未来的研究需要标准化,可解释的AI来准确,实时的PD分类.
科学领域:
- 电气工程 电气工程
- 信号处理 信号处理
- 人工智能的人工智能
背景情况:
- 部分放电 (PD) 分析对于电绝缘监控至关重要.
- 传统和先进的信号处理技术用于PD检测和分类.
- 现有的方法面临着非静止和杂的PD信号的挑战.
研究的目的:
- 综合审查和比较用于PD分析的先进信号处理方法.
- 确定各种PD分析技术的原则,优点,局限性和应用.
- 突出PD信号处理中的不同方法的演变和互补作用.
主要方法:
- 审查传统的时间频率技术.
- 波形变换和希尔伯特-黄变换的分析.
- 检查基于人工智能的方法,包括机器学习和深度学习.
主要成果:
- 系统地比较用于PD分析的信号处理方法.
- 评估处理复杂PD信号的每个技术的优缺点.
- 识别标准化,可解释和可嵌入AI的研究缺口,用于实时PD分类.
结论:
- 先进的信号处理方法提供了改进的PD分析能力.
- 混合方法和边缘人工智能对未来的PD诊断系统显示出希望.
- 对于强大的,实时的人工智能驱动的PD分类系统,需要进一步开发.
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