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Fault diagnosis based on grey correlation analysis for autonomous underwater vehicle sensor

机译:基于灰色关联分析的水下航行器传感器故障诊断

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摘要

An approach of sensor fault diagnosis based on grey correlation analysis for autonomous underwater vehicle is proposed. By analyzing correlation coefficient between fault pattern vector and testing vector, the sensor fault can be diagnosed and isolated. It has the advantage of dismissing the poor information effects. The principle of grey correlation analysis and its implementing steps for sensor fault diagnosis are described in detail. Simulation results demonstrate the effectiveness of the method.
机译:提出了一种基于自主水下车辆灰色相关分析的传感器故障诊断方法。通过分析故障模式矢量和测试向量之间的相关系数,可以诊断和隔离传感器故障。它具有解除信息效果差的优势。详细描述了灰色相关分析的原理及其传感器故障诊断的实施步骤。仿真结果证明了该方法的有效性。

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