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首页> 外文期刊>IEEE transactions on industrial informatics >A Practical Fault Diagnosis Algorithm Based on Aperiodic Corrected-Second Low-Frequency Processing for Microgrid Inverter
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A Practical Fault Diagnosis Algorithm Based on Aperiodic Corrected-Second Low-Frequency Processing for Microgrid Inverter

机译：基于非周期性二次修正低频处理的微电网逆变器实用故障诊断算法

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摘要

For most existing aperiodic fault diagnosis algorithms of microgrid inverter, because of the common aperiodic processing features, they have relatively higher amount of algorithm startup, calculation, and complexity. These features increase the hardware requirements and realization difficulty, greatly affect the practicability. In order to improve above-mentioned problems, a practical fault diagnosis algorithm is investigated. In this paper, first, aperiodic corrected-second low-frequency processing method is proposed to get aperiodic small low-frequency data (ASLFD) by a simple way in the real time, which greatly reduces the amount of algorithm startup and corresponding calculation. Second, these ASLFD are processed by the real-time normalization method. Next, the degree of asymmetry and distortion degree of root mean square are extracted, respectively. Furthermore, the feature variables and results are realized through the logical operations. Compared with the existing fault diagnosis algorithms, the proposed algorithm has lower amount of startup and calculation, smaller complexity, and easy realization, which are conducive to practical applications. The detailed experimental results and comparisons are shown to validate the proposed algorithm.
机译：对于大多数现有的微电网逆变器的非周期性故障诊断算法，由于具有非周期性的通用处理特征，因此它们具有相对较高的算法启动，计算和复杂性。这些功能增加了硬件要求和实现难度，极大地影响了实用性。为了改善上述问题，研究了一种实用的故障诊断算法。本文首先提出了一种非周期性的二次修正低频处理方法，以一种简单，实时的方式获取非周期性的低频小数据（ASLFD），大大减少了算法的启动和相应的计算量。其次，这些ASLFD通过实时归一化方法进行处理。接下来，分别提取均方根的不对称度和失真度。此外，特征变量和结果通过逻辑运算实现。与现有的故障诊断算法相比，该算法启动和计算量少，复杂度小，易于实现，有利于实际应用。详细的实验结果和比较结果表明了该算法的有效性。

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