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2024 | Book

Infrared Thermographic NDT-based Damage Detection and Analysis Method for Spacecraft

Authors: Chun Yin, Xuegang Huang, Xutong Tan, Junyang Liu

Publisher: Springer Nature Singapore


About this book

The book focuses on infrared thermographic NDT systems and approaches. Both principles and engineering practice are covered, with more emphasis on the engineering practice of spacecraft damage detection and analysis. This is achieved by providing an in-depth study of several major topics such as infrared feature extraction, damage reconstruction, reconstructed image fusion, reconstructed image stitching, reconstructed image segmentation, defect positioning, defect edge detection and quantitative calculation. A number of application cases are discussed in detail, including impact damage to single-layer and multi-layer protective configurations, simple impact damage, and complex multi-type impact damage. The comprehensive and systematic treatment of practical problems in infrared detection and spacecraft damage identification is one of the main features of this book, which is particularly suitable for those interested in learning practical solutions in infrared detection technology. This book can benefit researchers, engineers, and graduate students in the fields of aerospace design and manufacturing, spacecraft environmental engineering, and non-destructive testing technology, etc.

Table of Contents

Chapter 1. Background and Requirements
On October 4, 1957, the first artificial Earth satellite, Sputnik 1, was successfully launched by the Soviet Union. Over the following sixty years, the pace of human exploration in outer space has accelerated, and the number of spacecraft launches has increased. Throughout their operational lifetimes, spacecraft are subjected to various environmental factors in space, such as vacuum, radiation, high and low temperatures, micrometeoroids and space debris, atomic oxygen, and others. These factors can cause unforeseen damage to spacecraft materials and structures. Spacecraft operating in Earth orbit must undergo detection and evaluation of various damage risks resulting from complex space environmental effects. Therefore, it is necessary to develop advanced non-contact damage detection and evaluation techniques to achieve accurate identification and analysis of spacecraft damage, ensuring their safety and the successful completion of their intended missions.
Chun Yin, Xuegang Huang, Xutong Tan, Junyang Liu
Chapter 2. Infrared Feature Extraction and Damage Reconstruction
After a period of thermal excitation of a specimen, changes in the temperature field of the surface are recorded in different infrared thermal images, forming an infrared thermal image sequence consisting of multiple frames. The presence of defects affect the change in the thermal response of a local area and the physical information specific to the damage is embedded in the infrared thermal image sequence. It is therefore essential to extract the features corresponding to the defect from the infrared thermal image sequence.
Chun Yin, Xuegang Huang, Xutong Tan, Junyang Liu
Chapter 3. Reconstructed Thermal Image Fusion Based on Multi-objective Guided Filtering
Image fusion techniques can fuse the reconstructed thermal images that characterize different damage morphologies together, effectively improving the overall capability to characterize defects in a single image. This section considers the fusion needs of different types of defects in the image fusion process, while taking into account multiple fusion objective functions modelled together.
Chun Yin, Xuegang Huang, Xutong Tan, Junyang Liu
Chapter 4. Stitching Technique for Reconstructed Thermal Images
For large-size spacecraft damage detection, the panoramic defect visualization image (PDVI) can be obtained by stitching the images of multiple IR detection results, taking into account the accuracy as well as efficiency of the detection. In order to achieve the above steps, in this chapter, the feature extraction technique of reconstructed thermal image will be introduced at first. The specific feature extraction and feature point description algorithm of reconstructed thermal image will be introduced in two perspectives of rapidity and fineness.
Chun Yin, Xuegang Huang, Xutong Tan, Junyang Liu
Chapter 5. Weight Vector Adjustment-Based Multi-objective Segmentation of Reconstructed Thermal Images
Complex damage has special segmentation needs during reconstructed thermal image segmentation. In this section, three segmentation objective functions oriented towards the needs of noise cancellation, detail preservation and edge retention are considered simultaneously to solve the complex damage segmentation problem. However, in practical multi-objective problems, the Pareto Fronts are not ideally continuous and uniform. This chapter therefore proposes two methods of weight vector adjustment for non-regular Pareto Front surfaces. One is based on the crowding degree adaptive weight vector adjustment method from the perspective of population individual distribution; the other is based on the effective region incremental learning and PDM adjustment method from the perspective of Pareto Front surface shape learning.
Chun Yin, Xuegang Huang, Xutong Tan, Junyang Liu
Chapter 6. Defects Positioning Method for Large Size Specimen
After the panoramic image stitching, fusion, and segmentation in Chaps. 3 and 4, the segmented defect information the stitched reconstructed thermal images were obtained. The stitched reconstructed thermal image, as a visual image that can reflect the overall defect, can visually demonstrate the defective regions of large scale specimen.
Chun Yin, Xuegang Huang, Xutong Tan, Junyang Liu
Chapter 7. Defect Edge Detection and Quantitative Calculation of Reconstructed Thermal Images
In Chapter 6, two methods are provided to obtain the defect localization information of stitched reconstructed thermal images. In this chapter, pixel-level edge detection, sub-pixel-level edge detection, and quantitative calculation of defect region parameters of reconstructed thermal images based on damage region markers are introduced, respectively.
Chun Yin, Xuegang Huang, Xutong Tan, Junyang Liu
Infrared Thermographic NDT-based Damage Detection and Analysis Method for Spacecraft
Chun Yin
Xuegang Huang
Xutong Tan
Junyang Liu
Copyright Year
Springer Nature Singapore
Electronic ISBN
Print ISBN