Insulation systems in high-voltage electric machines play a pivotal role in the reliable operation and longevity of the equipment. Mica-based insulation materials have proven to possess and maintain excellent dielectric properties in the long run and prevent premature insulation degradation. Numerous qualifications tests, such as voltage endurance, are outlined in IEC and IEEE standards. The authors, however, take a different parametric approach, opting for reliability assessment of insulation systems using derived three-parameter Weibull models. Therefore, instead of simple pass–fail criteria, empirical data is employed to determine failure rate probabilities quantitatively and objectively. Experimental data, including breakdown, dissipation factor, and partial discharge measurements, are used to construct the Weibull distribution model to predict fault and failure rates and calculate hazard functions. The rigorous examinations interpreted through the analytical model help assess insulation system resilience and particularly the impact of electrical field stress and mica content. Variation of electrical stress from 66.75 to 71.20 V/mil demonstrated how the mean time to failure of the system changed from 146.4 to 85.1 at 3 U_n, hence identifying opportunities for design improvement and uncovering performance boundaries. Ultimately, the developed framework enhances comprehension of insulation system failure probabilities, guiding design decisions and ensuring a secure and reliable operation of electrical machines across applications.

中文翻译：

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通过对实验故障数据进行统计分析，对高压云母绝缘系统的可靠性和弹性进行参数评估的新方法

高压电机中的绝缘系统对于设备的可靠运行和使用寿命起着关键作用。事实证明，云母绝缘材料能够长期拥有并保持优异的介电性能，并防止绝缘过早退化。 IEC 和 IEEE 标准中概述了许多资格测试，例如耐压能力。然而，作者采用了不同的参数方法，选择使用派生的三参数威布尔模型对绝缘系统进行可靠性评估。因此，不是简单的通过-失败标准，而是采用经验数据来定量、客观地确定失败率概率。包括击穿、损耗因数和局部放电测量在内的实验数据用于构建威布尔分布模型，以预测故障和故障率并计算危险函数。通过分析模型解释的严格检查有助于评估绝缘系统的弹性，特别是电场应力和云母含量的影响。电应力从 66.75 V/mil 变化到 71.20 V/mil 展示了系统的平均无故障时间在 3 Un_时如何从 146.4 变化到 85.1 ，从而确定了设计改进的机会并揭示了性能边界。最终，开发的框架增强了对绝缘系统故障概率的理解，指导设计决策并确保跨应用的电机安全可靠的运行。