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局部放电超声阵列检测方法是将阵列传感器与阵列信号处理技术应用于局部放电超声检测中的一种新方法,具有信噪比高、检测可靠性高等优点。相比较满阵,稀疏阵列传感器检测系统结构简单,成本低廉,能够满足工程需要。现有的稀疏结构优化设计算法相对复杂,会影响检测的成功率和准确度。因此,文中提出一种基于降维技术的圆环形局放超声阵列传感器(circular ring partial discharge ultrasonic array sensors,CRPDUAS)的稀疏结构优化设计方法。首先将平面二维圆环形阵的搜索降维处理成对应的一维线阵的搜索,并采用遗传算法执行直线阵搜索,然后再还原为圆环形阵列结构计算其阵列性能,最终获得多个约束条件下圆环形局放超声阵列传感器的优化稀疏结构。最后对优化稀疏结构进行Music测向仿真研究,结果表明文中方法正确有效。
Partial Discharge Ultrasonic Array Detection is a new method to apply array sensor and array signal processing technology to partial discharge ultrasonic testing. It has the advantages of high signal-to-noise ratio and high detection reliability. Compared with the full array, the sparse array sensor detection system has the advantages of simple structure, low cost and can meet the engineering needs. The existing sparse structure optimization design algorithm is relatively complex, will affect the success rate and accuracy of detection. Therefore, an optimization design method for sparse structure of circular ring partial discharge ultrasonic array sensors (CRPDUAS) is proposed in this paper. Firstly, the 2D 2D circular array is reduced to the corresponding one-dimensional linear array and the genetic algorithm is used to search the linear array. Then the circular array structure is restored to calculate its array performance, Optimal Sparse Structure of Circular Arrayed Ultrasonic Array Sensor under Constraints. In the end, the music direction finding simulation study on optimized sparse structure shows that the method in this paper is correct and effective.