CTIMS: Automated Defect Detection Framework Using Computed Tomography

Abstract

Non-Destructive Testing (NDT) is one of the inspection techniques used in industrial tool inspection for quality and safety control. It is performed mainly using X-ray Computed Tomography (CT) to scan the internal structure of the tools and detect the potential defects. In this paper, we propose a new toolbox called the CT-Based Integrity Monitoring System (CTIMS-Toolbox) for automated inspection of CT images and volumes. It contains three main modules: first, the database management module, which handles the database and reads/writes queries to retrieve or save the CT data; second, the pre-processing module for registration and background subtraction; third, the defect inspection module to detect all the potential defects (missing parts, damaged screws, etc.) based on a hybrid system composed of computer vision and deep learning techniques. This paper explores the different features of the CTIMS-Toolbox, exposes the performance of its modules, compares its features to some existing CT inspection toolboxes, and provides some examples of the obtained results.

A Bayesian approach for CT reconstruction with defect detection for subsea pipelines

“…/* Obtain a realization from d | z ( j) , s ( j−1) , b = b obs by solving (20) for d * using CGLS with warm-start, i.e. initial point is d ( j−1) ; d ( j) ← d * ; /* Step 3: /* Obtain a realization from s | d ( j) , w ( j−1) by sampling from ( 21) n times and collecting s * i in a vector…”

“…Our method offers two key advantages: First, it eliminates the need for advanced image analysis methods in a post-processing step (see e.g. [20]). Second, it enables us to separately formulate prior information for the large-scale pipe layers and small-scale defects, which in turn allows us to promote sparsity in the defect reconstruction and better capture the internal structure and materials of the pipes.…”

A Combined Safety Monitoring Model for High Concrete Dams

“…The credibility of the main application of measurement results is determined by the credibility of the input data. [9] When obtaining raw data for concrete dam safety monitoring, there are often a certain number of gross errors generated from reading errors, calculation errors, the sudden failure of the detection instrument and other factors. The existence of gross errors seriously affects the accuracy of the dam observation value sequences, so effective measures must be taken to achieve a real and reliable dam safety prediction result.…”

“…The credibility of the main application of measurement results is determined by the credibility of the input data [9]. When obtaining raw data for concrete dam safety monitoring, there are often a certain number of gross errors generated from reading errors, calculation errors, the sudden failure of the detection instrument and other factors.…”

A Dilated Residual Network for Turbine Blade ICT Image Artifact Removal

“…ICT (Industrial Computed Tomography) has been widely used in defect detection [ 1 , 2 , 3 , 4 , 5 ], dimensional measurements [ 6 , 7 ], and geometric analysis [ 8 , 9 ], including in the aerospace field [ 5 , 10 ], vehicle manufacturing [ 11 , 12 ], additive manufacturing [ 3 , 5 , 8 ], etc. However, due to the influence of beam hardening and scattering during CT scanning and imaging, there are artifacts on the obtained cross-section images, as illustrated in Figure 1 .…”