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Spectral analysis for evaluation of the optical fiber cable performance using experimental and ANN techniques

机译:使用实验和ANN技术进行光谱分析以评估光纤电缆的性能

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This work deals with the performance evaluation of the optical fiber cables by calculating the changes in the power spectral density, power spectrum, and phase of the response signals from which the faults can be deducted and identified and accordingly the performance can be evaluated. An experimental program has been conducted by exciting the cable and then measuring the power spectral density, power spec-trum, and phase of the response signal for the faulty and un-faulty cables. The calculated and measured results are fed to the ANN system in order to train the ANN program, then the trained ANN package will be used as a parametric study of deduction and identification of cable faults. The ANN system detects and identities the faults in optical fiber. The experimental results power spectral density, power spectrum, and phase measurements are compared with ANN techniques results. Both results showed a good agreement with maximum error less than (1.26%). Finally, the paper shown with vibration test for cable and evaluate for electrical characterizations can be prediction for crack depth or location parameters.
机译:这项工作通过计算功率谱密度,功率谱和响应信号相位的变化来处理光纤电缆的性能评估,从中可以推断出故障并进行识别,从而可以评估性能。通过激励电缆,然后测量有故障和无故障电缆的功率谱密度,功率谱和响应信号的相位,进行了实验程序。计算和测量的结果被馈送到ANN系统以训练ANN程序,然后将训练后的ANN程序包用作推论和识别电缆故障的参数研究。 ANN系统检测并识别光纤中的故障。将实验结果的功率谱密度,功率谱和相位测量结果与ANN技术的结果进行了比较。两项结果均显示出良好的一致性,最大误差小于(1.26%)。最后,所显示的带有电缆振动测试并评估电气特性的论文可以预测裂缝深度或位置参数。

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