Underwater acoustic sensor fault detection for passive sonar systems

Yong Guk Kim, YoungShin Kim, S. H. Lee, Sang-Taeck Moon, M. Jeon, H. Kim
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引用次数: 6

Abstract

In this paper, an underwater acoustic sensor fault detection method is proposed that determines whether or not each sensor of multi-channel line array hydrophones malfunctions for passive sonar systems. To this end, the proposed method first measures a short-time root mean square (RMS) value of input signal for each channel. Then, it analyzes the RMS difference between the adjacent channels. In addition, the crossing rate of RMS values (RMSCR) is computed for each channel, and then the average value of RMSCR over all the channels is obtained. Some faulty sensors are identified by comparing the RMS difference with a threshold, and others by comparing the ratio between RMSCR of each of them and the average value of RMSCR with a threshold. In order to evaluate the performance of the proposed method, the precision of detecting fault sensors is measured. Consequently, it is shown that the proposed method works well in underwater environments with average RMS of -18.6 and -9.7 dB.
被动声呐系统的水声传感器故障检测
针对被动声呐系统,提出了一种多通道线阵水听器各传感器是否出现故障的水声传感器故障检测方法。为此,该方法首先测量每个通道输入信号的短时均方根(RMS)值。然后,分析了相邻信道的均方根差。此外,计算各信道的均方根值交叉率(RMSCR),得到各信道均方根值的平均值。一些故障传感器通过比较有效值与阈值的差异来识别,而另一些则通过比较每个传感器的有效值与有效值平均值的比值来识别。为了评价该方法的性能,对故障传感器的检测精度进行了测量。结果表明,该方法在平均RMS为-18.6 dB和-9.7 dB的水下环境下均能很好地工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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