Development of an Expert System for Ultrasonic Flaw Classification
Development of an Expert System for Ultrasonic Flaw Classification
复制标题
超声缺陷分类专家系统的开发
DOI：
10.1007/978-1-4613-1893-4_101
复制
发表时间：
1987
期刊：
影响因子：
--
通讯作者：
S. Nugen
中科院分区：
文献类型：
--
作者：
L. Schmerr;K. Christensen;S. Nugen
缺陷的完整表征需要有关缺陷类型（裂纹、空隙、夹杂物等）的信息，缺陷尺寸和方向。在这里，我们只关心缺陷类型的确定，以便可以选择适当的尺寸算法。这种使用超声波的分类问题非常适合采用人工智能的工具和技术[1，2]。例如，自适应学习方法在过去被用于训练缺陷分类模块，以便它可以区分裂纹和体积缺陷[3]。然而，这种方法的一些局限性是由于分类所用特征的经验性质以及在发生错误时难以理解和调整决策过程。
The complete characterization of a flaw requires information about the flaw type (crack, void, inclusion, etc.), flaw size, and orientation. Here we are only concerned with the determination of the flaw type so that the appropriate sizing algorithms can be chosen. This type of classification problem using ultrasonic waves is very suitable for employing the tools and techniques of artificial intelligence [1,2]. Adaptive learning methods, for example, have in the past been employed to train a flaw classification module so that it can distinguish between cracks and volumetric flaws [3]. Some of the limitations of this approach, however, have been due to the empirical nature of the features used for classification and the difficulty of understanding and adjusting the decision-making process when errors occur.