基于贝叶斯判别准则的机械设备泄露区域全自动检测

Automatic Detection of Leak Areas in Mechanical Equipments Based on Bayesian Judging Criterion

摘要: 大型机械设备安装过程复杂、繁琐，要求密闭的区域常常出现泄漏，传统检测泄漏的方法效率低，成本高，针对这一难题，本文提出一种基于贝叶斯判别准则的机械设备安装泄露区域全自动检测方法，利用贝叶斯理论推导出自适应的动态阈值，作为区分前景泄漏目标区域和背景的准则。实验结果显示，该方法可以在复杂环境下，快速、准确地找到机械设备安装过程中泄漏区域的位置。

Abstract: It is very complex and tedious to install the big mechanical equipments. Leak often happens in the areas in which seal requirement must be met. Traditional leak detection methods are low efficiency and high cost. Therefore, in this paper an automatic leak detection method based on Bayesian judging criterion is proposed. An adaptive dynamic threshold is derived by the means of Bayesian theory which is considered as a criterion to differentiate leak objective areas from background. The experimental results show that the leak areas in the big mechanical equipments can be fast and exactly found using the proposed method.