Artificial neural networks are proposed in this paper, which are used to detect and diagnose faults of hardware for the satellite attitude measurement system. The result is satisfied.

针对卫星姿态测量系统的硬件故障，应用人工神经网络进行故障检测与诊断，得到了较为满意的结果。

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The reasons affecting the accuracy of measurement location are analyzed and the primary scheme and conclusion of faults location for submarine optical cable are provided.

分析了影响定位测试准确性的原因，初步给出了海底光缆故障的定位方案和光缆故障定位的结论。

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Therefore, the study of fault detection and error analysis for the measurement and testing system is to effectively reduce faults and errors on the impact of the test results.

因此，研究测量及测试系统的故障检测与误差分析，以有效减少故障和误差对测试结果的影响，提高测试精度成为必需。

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