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Actuator Fault Diagnosis in Autonomous Underwater Vehicle Based on Principal Component Analysis

机译:基于主成分分析的自主水下航行器执行器故障诊断

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In order to improve the overall reliability of the Autonomous Underwater Vehicle (AUV), and actuator play an important role in AUV systems. Therefore, research on actuator fault diagnosis was carried out. The objective of this paper is to address the problem of Fault Diagnosis of the AUV actuator under winding faults. The goal is pursued through Finite Impulse Response (FIR) and Principal Component Analysis (PCA). The results showed that the PCA could be applied to the actuator fault diagnosis of AUV, and solved the problem of determining the fault source.
机译:为了提高自动水下航行器(AUV)的整体可靠性,执行器在AUV系统中起着重要的作用。因此,进行了对执行器故障诊断的研究。本文的目的是解决绕组故障下AUV执行器的故障诊断问题。该目标是通过有限冲激响应(FIR)和主成分分析(PCA)来实现的。结果表明,该方法可以应用于水下机器人执行器的故障诊断,解决了故障源确定的问题。

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