This work presents the application of the technique named signal analysis based on chaos using density of maxima to analyze brushless direct current motors. It uses a correlation coefficient estimated from the density of maxima of the current signal. This study demonstrates in experiments the speed estimation of a brushless motor on a testbench and failure detection in a small flying drone. The experimental results demonstrate that it is possible to estimate the speed in 97.8% of the cases and to detect failure in 82.75% of the analyzed cases.

中文翻译：

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使用最大值密度的小型无人机电机速度估计和故障检测

这项工作介绍了基于混沌的信号分析技术的应用，该技术使用最大值密度来分析无刷直流电机。它使用从当前信号的最大值密度估计的相关系数。这项研究在实验中演示了测试台上无刷电机的速度估计和小型飞行无人机的故障检测。实验结果表明，可以在 97.8% 的案例中估计速度，在 82.75% 的分析案例中检测到失败。