Department of Electrical, Electronics, and Computer Engineering, University of Ulsan, Ulsan 44610, Republic of Korea.
PD Technology Cooperation, Ulsan 44610, Republic of Korea.
Sensors (Basel). 2022 Dec 20;23(1):27. doi: 10.3390/s23010027.
In this study, a scheme for leak localization on a cylinder tank bottom using acoustic emission (AE) is proposed. This approach provides a means of early failure detection, thus reducing financial damage and hazards to the environment and users. The scheme starts with the hit detection process using a constant false alarm rate (CFAR) and a fixed thresholding method for a time of arrival (TOA) and an end-time determination. The detected hits are then investigated to group those originating from the same AE source together by enforcing an event definition and a similarity score. Afterwards, these newly grouped hits are processed by a time difference of arrival (TDOA) to find the locations of the events. Since the locations of the events alone do not pinpoint the leak location, a data density analysis using a Voronoi diagram is employed to find the area with the highest possibility of a leak's existence. The proposed method was validated using the Hsu-Nielsen test on a cylinder tank bottom under a one-failed-sensor scenario, which returned a highly accurate result across multiple test locations.
本研究提出了一种利用声发射(AE)对圆柱罐底进行泄漏定位的方案。该方法提供了一种早期故障检测手段,从而减少了经济损失以及对环境和使用者造成的危害。该方案首先使用恒虚警率(CFAR)和固定阈值方法进行命中检测,以确定到达时间(TOA)和结束时间。然后,对检测到的命中进行调查,通过强制事件定义和相似度得分,将来自同一 AE 源的命中分组在一起。然后,通过时差(TDOA)对这些新分组的命中进行处理,以找到事件的位置。由于事件的位置本身并不能精确定位泄漏位置,因此使用 Voronoi 图进行数据密度分析,以找到泄漏存在可能性最高的区域。该方法在一个传感器失效的圆柱罐底上进行了 Hsu-Nielsen 测试验证,在多个测试位置都得到了非常准确的结果。