Dielectric Parameters of Unimpregnated Mica Tape under Humid Condition

Moghadam, Davoud Esmaeil; Herold, C.; Zbinden, Rolf

doi:10.1109/icd46958.2020.9341908

Cited by 2 publications

(2 citation statements)

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“…The knowledge that is collected through years of experience significantly enriches the accuracy and reasoning of probabilistic models [23, 24]. Real‐world experimental results have been employed to demonstrate the efficacy and usefulness of the framework in interpreting failure rate probability and hazard functions of three trial insulation systems based on eight control variables and two random variables that are primary factors in the design of vacuum‐pressure impregnated insulation systems: electrical stress and mica content [25]. The model allows design engineers to make informed trade‐off decisions regarding life expectancy, hazard function and cost of HV insulation systems that fit the application.…”

Section: Introductionmentioning

confidence: 99%

“…iii. Real-world experimental results have been employed to demonstrate the efficacy and usefulness of the framework in interpreting failure rate probability and hazard functions of three trial insulation systems based on eight control variables and two random variables that are primary factors in the design of vacuum-pressure impregnated insulation systems: electrical stress and mica content [25]. iv.…”

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confidence: 99%

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A novel approach towards parametric assessment of reliability and resilience of high voltage mica‐based insulation systems by statistical analysis of experimental failure data

Negari,

Esmaeil Moghadam

2024

High Voltage

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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 Un, 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.

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