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    • 55. 发明授权
    • Crack detection in thick-walled cylinders
    • 厚壁气瓶中的裂纹检测
    • US08818746B1
    • 2014-08-26
    • US13071691
    • 2011-03-25
    • Mark A. JohnsonMoayyed A. HussainEdward J. Troiano
    • Mark A. JohnsonMoayyed A. HussainEdward J. Troiano
    • G01R23/16G01N29/04G01N29/14G01N29/46G01N21/952
    • G01N29/045G01N21/952G01N29/14G01N29/46G01N2203/006
    • A simple, inexpensive, and fast method of establishing if a defect does or does not exist within a thick-walled solid geometry, which is especially useful to detect if such a defect, a crack, exists within a gun barrel. With further analysis, the method allows not only the identification of the defect's presence; but, a means of establishing the size thereof—which, for example, is critical to understanding if a gun tube has a defect that would warrant its being taken out of service for the safety of its crew or removed from manufacturing. The method involves creating an acoustic vibration in the particular thick-walled, solid geometry, esp. a gun barrel, and observing the vibration pattern which results. The size of the particular defect can be ascertained by a) manually using a correlation between the magnitude of the defect and the relative changes in the decay coefficient or shifts in frequency data or (b) automatically using a Bayes maximum likelihood, statistical pattern classification algorithm and a library comprised of either the decay coefficients or the means and covariances of defect-free and cracked objects.
    • 一种简单,便宜和快速的方法来确定缺陷是否存在于厚壁实心几何中,特别适用于检测枪管内是否存在这样的缺陷,裂纹。 进一步分析,该方法不仅可以识别缺陷的存在; 而是确定其尺寸的一种手段,例如,这对于了解枪管是否具有缺陷,对于其船员的安全性或从制造中移除而导致的缺陷是非常关键的。 该方法涉及在特定的厚壁实心几何中产生声振动,尤其是。 一个枪管,并观察结果的振动模式。 特定缺陷的大小可以通过以下方式来确定:a)手动使用缺陷的大小与衰减系数的相对变化或频率数据的偏移之间的相关性,或(b)自动使用贝叶斯最大似然度统计模式分类算法 以及由无缺陷和破裂的物体的衰变系数或平均值和协方差组成的图书馆。