Scholarlink

<p>The three-phase four-leg inverter exhibits great potential in handling unbalanced loads. However, limited research has been conducted on its open-circuit fault diagnosis. This paper proposes the first multiple open-circuit fault diagnosis method for three-phase four-leg inverters from a signal analysis perspective. First, a unified fault detection variable and adaptive threshold are designed based on fault characteristics, enhancing detection sensitivity. Second, fault location variables and adaptive thresholds for the first three legs use current variations, while for the fourth leg, they are based on current change rate. A unified fault location criterion is established, significantly improving algorithm speed and robustness.The method accurately identifies 8 single and 28 multiple open-circuit faults. Compared to existing methods, it eliminates precise system modeling requirements, has low computational complexity, and achieves faster diagnosis. Its efficacy and resilience have been validated on a hardware-in-the-loop platform.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Power Switch Open-Circuit Fault Diagnosis of Three-Phase Four-Leg Inverters Based on Phase Current Analysis

  • 期刊论文

  • 发表日期：

    2026年2月25日

查看全文
  • Hongli Ma,
  • Songbing Tao,
  • Menghui Li,
  • Yunlong Zhang,
  • Shuiqing Xu

摘要

The three-phase four-leg inverter exhibits great potential in handling unbalanced loads. However, limited research has been conducted on its open-circuit fault diagnosis. This paper proposes the first multiple open-circuit fault diagnosis method for three-phase four-leg inverters from a signal analysis perspective. First, a unified fault detection variable and adaptive threshold are designed based on fault characteristics, enhancing detection sensitivity. Second, fault location variables and adaptive thresholds for the first three legs use current variations, while for the fourth leg, they are based on current change rate. A unified fault location criterion is established, significantly improving algorithm speed and robustness.The method accurately identifies 8 single and 28 multiple open-circuit faults. Compared to existing methods, it eliminates precise system modeling requirements, has low computational complexity, and achieves faster diagnosis. Its efficacy and resilience have been validated on a hardware-in-the-loop platform.