This paper presents the design, analysis, and evaluation of a method for detection of the performance degradation due to component ageing, after-shock change in parameters, or excess in environmental conditions. The major novelty of this method consists of using a statistical based decision process rather than one-off threshold-based switch for detection of deterioration in performance. The method builds upon the previous observer-based method for abrupt (catastrophic) fault detection, and uses a Cumulative Sum algorithm for detection of slow trends in performance. Firstly, a review outlines the rates of change in various parameters due to ageing of components. The design and a comprehensive analysis of the proposed method are performed offline in MATLAB using an average State Space model. Contrary to previously expensive observer-based methods, the implementation is proposed on a low-cost microcontroller, and demonstrated at a 142 kHz sampling and switching rate. Timing diagrams and resources for implementation are also discussed.

中文翻译：

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基于低成本观测器的 DC-C 转换器中因元件老化导致的性能缓慢恶化的评估


本文介绍了一种方法的设计、分析和评估，该方法用于检测由于组件老化、后震参数变化或过度环境条件而导致的性能下降。该方法的主要新颖之处在于使用基于统计的决策过程而不是基于一次性阈值的开关来检测性能恶化。该方法建立在先前基于观察者的突然（灾难性）故障检测方法的基础上，并使用累积和算法来检测性能缓慢趋势。首先，概述了由于组件老化导致的各种参数的变化率。该方法的设计和综合分析是使用平均状态空间模型在 MATLAB 中离线进行的。与以前昂贵的基于观测器的方法相反，该实现是在低成本微控制器上提出的，并以 142 kHz 采样和开关速率进行演示。还讨论了实现的时序图和资源。