Abstract: Getting the Acoustic Emission（AE） source location is an important step in AE testing for tank bottom. Passive location is the only technology that can be used to get the AE source location. It mainly includes triangulation location algorithm and over determined location algorithm. In order to know the two algorithms’ location performance including calculation time, position error and effective targeting rate, a Monte Carlo simulation experiment is implemented. The results demonstrate that triangulation location algorithm is about 100 times faster than the over determined location algorithm. However, the measurement errors of time difference and acoustic velocity cause different effects on the location results of the two algorithms. The triangulation location algorithm produces large errors for the AE sources located at the edge area of tank bottom, while the over determined algorithm results in low effective targeting rate for the AE sources located at the edge area of tank bottom. Therefore, it should select appropriate location algorithm by considering the requirements of calculation time, error range and computer performance.

Key words: tank bottom testing, Acoustic Emission（AE） testing, passive location, Monte Carlo simulation

摘要： 针对大型储罐罐底声发射检测过程中的声源定位问题，在深入研究三角定位算法和超定定位算法原理的基础上，采用蒙特卡洛模拟方法定量分析比较了两种算法对罐底声发射源定位的性能，主要包括定位计算时间、定位误差分布以及有效定位率等参数。结果表明三角定位算法比超定定位算法快100倍，但在非理想情况下，即存在时间测量误差和声速误差时，三角定位算法对罐底边缘区域的声源定位误差大，而超定定位算法对罐底边缘区域声源的有效定位率低。现场检测过程中应根据实时性、误差范围、计算机性能等要求选择合适的定位算法。

关键词: 罐底检测, 声发射检测, 无源定位, 蒙特卡罗模拟