Yulong Zhang, Jianwen Sun, Huiliang Liu, Jia Wei, Zewen Liu
{"title":"DC Hot Switching Lifetime Study for Contact MEMS Switch by Weibull Distribution Analysis","authors":"Yulong Zhang, Jianwen Sun, Huiliang Liu, Jia Wei, Zewen Liu","doi":"10.1109/MEMS58180.2024.10439563","DOIUrl":null,"url":null,"abstract":"DC hot switching lifetime for Au-Au-contact MEMS switch is studied in this work, in which the applied voltage varies from 5 to 8 V. Weibull distribution analysis is employed for lifetime data processing, and the scale parameters (λ), shape parameters (k) and 50% of population failure point (T50) are fitted and calculated. This work shows two distinctive advancements: (a) illustration of the device lifetime evolution from quasi-Exponential distribution (k≈1) to quasi-Rayleigh distribution (k≈2) to quasi-Normal distribution (k>4) according to different applied voltages; (b) mathematic relationship establishment between lifetime and DC hot switching voltage, which can be used for device lifetime prediction. These advancements above are studied and verified on basis of Au-Au-contact MEMS switch, and it is also suitable for other contact materials characteristic modeling.","PeriodicalId":518439,"journal":{"name":"2024 IEEE 37th International Conference on Micro Electro Mechanical Systems (MEMS)","volume":"146 3","pages":"610-613"},"PeriodicalIF":0.0000,"publicationDate":"2024-01-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2024 IEEE 37th International Conference on Micro Electro Mechanical Systems (MEMS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MEMS58180.2024.10439563","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
DC hot switching lifetime for Au-Au-contact MEMS switch is studied in this work, in which the applied voltage varies from 5 to 8 V. Weibull distribution analysis is employed for lifetime data processing, and the scale parameters (λ), shape parameters (k) and 50% of population failure point (T50) are fitted and calculated. This work shows two distinctive advancements: (a) illustration of the device lifetime evolution from quasi-Exponential distribution (k≈1) to quasi-Rayleigh distribution (k≈2) to quasi-Normal distribution (k>4) according to different applied voltages; (b) mathematic relationship establishment between lifetime and DC hot switching voltage, which can be used for device lifetime prediction. These advancements above are studied and verified on basis of Au-Au-contact MEMS switch, and it is also suitable for other contact materials characteristic modeling.