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Scaling DC lifetests on GaN HEMT to RF conditions

机译:将GaN HEMT的DC寿命测试扩展到RF条件

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The assumptions behind a new lifetesting approach are documented, evaluated, and tested where possible. This approach utilizes "signature parameters" to track individual degradation mechanisms in both DC and RF lifetests, and determines the mean time to failure (MTTF) Arrhenius curves for each mechanism individually, during RF operation. This is important for GaN HEMT because most studies indicate that several mechanisms contribute to its wearout, simultaneously, and this makes it impossible to extrapolate conventional RF wearout curves to other temperatures or longer times. A key assumption is that degradation mechanisms can be identified, and associated with unique signature parameters. A second key assumption is the integrity of degradation mechanisms, whether they occur under steady DC biases, or under oscillating RF biases. This allows us to deduce MTTF's under RF operation from the ratio of degradation rates of the individual mechanisms in DC lifetests, and the rates in RF operation, integrated over the RF waveform. This can be found by means of DC and RF lifetests, monitoring the signature parameters. Then the DC Arrhenius curves can be scaled to the RF conditions. After evaluation of these, and several other assumptions, we find the net uncertainties for one of the GaN HEMT technologies that we used for development of our approach. They amount to -30%, +100% in MTTF; this is entirely adequate for high-reliability parts evaluation, where a margin of at least 10x (900%) is required. (C) 2015 The Author. Published by Elsevier Ltd. All rights reserved.
机译:尽可能记录,评估和测试新的寿命测试方法背后的假设。这种方法利用“签名参数”来跟踪DC和RF寿命测试中的各个降级机制,并在RF操作期间分别确定每种机制的平均故障时间(MTTF)Arrhenius曲线。这对于GaN HEMT非常重要,因为大多数研究表明,多种机制同时导致其磨损,这使得无法将常规RF磨损曲线推断到其他温度或更长的时间。一个关键的假设是可以确定降级机制,并将其与唯一的签名参数相关联。第二个关键假设是降级机制的完整性,无论它们是在稳定的DC偏置下还是在振荡的RF偏置下发生的。这使我们能够根据DC寿命测试中各个机构的降级速率与RF波形中集成的RF运行速率的比率推论出RF运行下的MTTF。这可以通过监视签名参数的DC和RF寿命测试来找到。然后,可以将DC Arrhenius曲线缩放到RF条件。在评估了这些以及其他几个假设之后,我们发现了用于方法开发的GaN HEMT技术之一的净不确定性。它们等于-30%,MTTF为+ 100%;对于要求至少10倍(900%)裕度的高可靠性零件评估,这完全是足够的。 (C)2015作者。由Elsevier Ltd.出版。保留所有权利。

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