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End-of-Life Detection of Power Electronic Converters by Exploiting an Application-Level Health Precursor
IEEE Open Journal of Power Electronics Pub Date : 2022-08-03 , DOI: 10.1109/ojpel.2022.3196134
Martin Vang Kjaer 1 , Huai Wang 1 , Frede Blaabjerg 1
Affiliation  

Extensive studies have been conducted in regards to estimating the useful life of power electronic converters in order to prevent failure related downtime. The state-of-the-art of converter reliability is based on the physics-of-failure approach, which involves some concerns such as the uncertainty introduced by extrapolating the accelerated test results to other usage conditions, which results in failure probability distributions inhibiting a variance of several years. In order to overcome this issue, the state-of-the-art is currently seeing an increase in research output, which are in favour of basing the reliability studies on physics-of-degradation based methods. The existing methods are restricted to only consider a single component and due to the impracticability of monitoring each single component, there is an essential need for methods, which can monitor the health state of the entire converter. This paper proposes a method which uses the converter operating efficiency to monitor parameter shifts of multiple components, which can be used to gain precision when stating the converter lifetime. A supervised classifier is used to detect the end-of-life while simultaneously coping with the fundamental issue of the loading influencing the efficiency. The method proves to have high accuracy even when measuring inaccuracies are taken into account.

中文翻译:

利用应用级健康前体检测电力电子转换器的寿命终止

为了防止与故障相关的停机时间,已经对估计电力电子转换器的使用寿命进行了广泛的研究。转换器可靠性的最新技术基于故障物理方法,其中涉及一些问题,例如通过将加速测试结果外推到其他使用条件而引入的不确定性,这会导致故障概率分布抑制几年的差异。为了克服这个问题,目前最先进的研究成果正在增加,这有利于将可靠性研究建立在基于退化物理的方法上。现有的方法仅限于考虑单个组件,并且由于监视每个单个组件的不切实际,因此对方法的基本需求,可以监控整个转换器的健康状态。本文提出了一种使用转换器工作效率来监测多个组件参数变化的方法,该方法可用于在说明转换器寿命时获得精度。监督分类器用于检测寿命终止,同时处理影响效率的负载的基本问题。即使考虑到测量的不准确性,该方法也被证明具有很高的准确性。监督分类器用于检测寿命终止,同时处理影响效率的负载的基本问题。即使考虑到测量的不准确性,该方法也被证明具有很高的准确性。监督分类器用于检测寿命终止,同时处理影响效率的负载的基本问题。即使考虑到测量的不准确性,该方法也被证明具有很高的准确性。
更新日期:2022-08-03
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