Pattern recognition techniques are applied to various morphological descriptors to monitor the formation and propagation of surface defects of materials subjected to thermal shock. A low-cement high-alumina castable was synthesized, cured, sintered, and exposed to thermal stability testing using the water quench test. After a certain number of thermal shock cycles, photographs of the samples’ surfaces were taken and subjected to image analysis. The influence of the sintering temperature on the morphology of the detected defects was studied using principal component analysis (PCA) as a pattern recognition technique that is the most informative for extracting possible differences. The morphological descriptors of the defects correspond to the previous results regarding the influence of sintering temperature on the structure of a castable during thermal shocks.

模式识别技术应用于各种形态描述符，以监测材料受到热冲击时表面缺陷的形成和传播。合成、固化、烧结低水泥高铝浇注料，并使用水淬试验进行热稳定性试验。经过一定次数的热冲击循环后，拍摄样品表面的照片并进行图像分析。使用主成分分析 (PCA) 作为模式识别技术研究了烧结温度对检测到的缺陷形态的影响，该技术是提取可能差异的最有用的信息。