{"title":"Detection of closed cracks on the rail surface in thermography NDT","authors":"Xiang Zhang, Jianping Peng, Xiao Liang, Kai-lang He, Si-Ying Tang, K. Tian, Xiaoqin Gao","doi":"10.1109/FENDT54151.2021.9749677","DOIUrl":"https://doi.org/10.1109/FENDT54151.2021.9749677","url":null,"abstract":"Eddy current thermography is an emerging detection approach in the field of nondestructive testing (NDT), offering a high resolution to surface defects. In recent years, this method has also been used for surface defect detection of wheel-rail. In this study, a moving mode of eddy current thermography is used for closed crack detection on the rail surface, and the temperature distribution corresponding to different crack depths is analyzed. Firstly, the simulation module is used to analyze the eddy current distribution around the defect. Then, the dynamic experiment was carried out, and the tensor decomposition is used to enhance the feature of infrared image. Finally, quantification analysis of defect characteristics is performed.","PeriodicalId":425658,"journal":{"name":"2021 IEEE Far East NDT New Technology & Application Forum (FENDT)","volume":"&NA; 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126151878","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jin-sheng Yang, Chang-chun Qiu, Yi-ran Gao, Zhen-bei Li, Zheng Liu
{"title":"Development of a 64-channel FPGA-based Scalable High-speed Real-time Data Acquisition and Storage System for Ultrasonic In-line Inspection Tools","authors":"Jin-sheng Yang, Chang-chun Qiu, Yi-ran Gao, Zhen-bei Li, Zheng Liu","doi":"10.1109/FENDT54151.2021.9749675","DOIUrl":"https://doi.org/10.1109/FENDT54151.2021.9749675","url":null,"abstract":"This paper presents a 64 channel ultrasonic data acquisition and storage system for in-line inspection tools. According to the principle of scalability and reconfigurability, the system is based on modular design which consists of an ultrasound board with 64 channel of analog front-end pulser/receiver and high-speed digitizer, a storage board applied the high-speed and large-capacity NAND flash storage structure, a power conversion module and two back-planes. The system can be connected to the PC graphical user interface (GUI) to display real-time images through Gigabit Ethernet interface. In order to record raw data to study new data reduction methods and algorithms, the storage board uses multi-group and multi-channel NAND flash to achieve a parallel pipeline control method, which greatly improved the bandwidth and capacity performance of the storage system. The recorded data can be also downloaded to PC through Gigabit Ethernet interface for offline processing. Through the dynamic test, the system works normally and all the artificial defects on the test pipe can be detected and identified.","PeriodicalId":425658,"journal":{"name":"2021 IEEE Far East NDT New Technology & Application Forum (FENDT)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126246502","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Research on reconstruction of signals for carbon fiber composite materials structural health monitoring based on compressed sensing","authors":"Qiming Duan, Bo Ye, Danhong Wang, Junlin Ouyang","doi":"10.1109/FENDT54151.2021.9749640","DOIUrl":"https://doi.org/10.1109/FENDT54151.2021.9749640","url":null,"abstract":"The structural health monitoring technology (SHM) can use Lamb waves to monitor the health of structural parts online and in real time, so as to carry out safety assessment and life prediction of structural parts. As an important structural component of aviation, transportation and other fields, carbon fiber composite materials are prone to damage such as delamination, cracks, and fiber breaks during service. Therefore, it is necessary to use piezoelectric sensor arrays to excite Lamb waves to monitor carbon fiber composite materials actively to ensure the full operation of these important structural parts. In the process of monitoring, a higher sampling rate is usually used for data collection, which leads to a decrease in the speed of data transmission, storage, and processing. Therefore, it is necessary to compress the original data to reduce the amount of collected data. In this study, based on the compressed sensing technology, Gaussian random matrix is used to project the damage signal of Lamb wave for carbon fiber composite material into low-dimensional space, so as to obtain linear measurement value of sparse sampling and achieve the compressed sampling of signals. Finally, the reconstruction algorithm is used to realize the reconstruction of signals. Experiments show that the method of compressed sensing can compress and reconstruct Lamb wave signals, and it has good noise resistance. The absolute error of reconstruction is within [−0.3V, 0.3V], compressive sensing not only saves data storage space and improves data transmission speed, but also guarantees the accuracy of the reconstructed signal.","PeriodicalId":425658,"journal":{"name":"2021 IEEE Far East NDT New Technology & Application Forum (FENDT)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128493232","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Compressive Sensing for Full Matrix Capture RF Signals Reconstruction in Ultrasonic Array","authors":"Qian Xu, Haitao Wang, Yezi Yao, Xin Li","doi":"10.1109/FENDT54151.2021.9749669","DOIUrl":"https://doi.org/10.1109/FENDT54151.2021.9749669","url":null,"abstract":"Nondestructive testing and evaluation technology of total focus method (TFM) based on full matrix capture (FMC) is a hot spot in the current array of ultrasonic testing technology. The method has the advantages of high imaging accuracy and strong defect characterization ability, However, the TFM is a data-intensive algorithm, the same logic is used for a large number of calculations at each imaging point, which takes a long time and is difficult to give full play to its advantages in the efficient and automated industrial testing field. To solve the problem of a large amount of data in the acquisition, storage, and transmission of ultrasonic phased array signal, the ultrasonic phased array total focus method based on compressed sensing (CS-TFM) was proposed. The signal sparsity in the fast Fourier transform (FFT) and discrete cosine transform (DCT) sparse domains were compared. The reconstruction accuracy of two reconstruction algorithms, Orthogonal Matching Pursuit (OMP) and L1 norm were analyzed. The optimal sparse basis and the optimal reconstruction algorithm for the full matrix signal of the ultrasonic phased array were obtained. In addition, the effect of the TFM algorithm meshing on image quality and imaging speed was also studied. The experimental verification of the proposed compression sensing (CS) method can accurately reconstruct the ultrasound FMC data at a 60% compression rate, and the root means square error between the reconstructed data and the actual full matrix data is about 6%. CS-TFM method provides a new idea and lays a foundation for reducing the complexity of the detection system and the requirement of hardware.","PeriodicalId":425658,"journal":{"name":"2021 IEEE Far East NDT New Technology & Application Forum (FENDT)","volume":"07 6","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131878327","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Carbon fiber reinforced polymer defect detection using magnetic induction tomography method","authors":"Honggui Cao, Bo Ye, Siqi Luo, Jun Bao","doi":"10.1109/FENDT54151.2021.9749641","DOIUrl":"https://doi.org/10.1109/FENDT54151.2021.9749641","url":null,"abstract":"Carbon Fiber Reinforced Polymer (CFRP) is widely used in aerospace, military and other fields due to its excellent performance. In order to meet the requirements of rapid detection, location and visualization of defects in carbon fiber composite reinforced polymer. The defect detection method of carbon fiber reinforced polymer based on magnetic induction tomography (MIT) was investigated. MIT of four-layer unidirectional carbon fiber reinforced polymer laminates model was established by COMSOL Multiphysics, a planar electromagnetic sensor array for CFRP laminates was designed, the sensitivity matrix was calculated based on the reciprocity theorem and correction factor P was introduced to eliminate the influence of negative sensitivity on image reconstruction, then Tikhonov regularization algorithm and Landweber algorithm were used for image reconstruction of CFRP laminates defects. Thus, the results show that the designed planar sensor array can effectively detect the defects of CFRP laminates, at the same time, image reconstruction based on improved sensitivity has better effect on defect detection, and the shape and location of defects are more accurate; It shows that MIT is feasible for defect detection of carbon fiber reinforced polymer.","PeriodicalId":425658,"journal":{"name":"2021 IEEE Far East NDT New Technology & Application Forum (FENDT)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129465198","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Study on the relationship between permeability, hardness of ferromagnetic structure and quenching, tempering temperature","authors":"B. Chen, S. Ren","doi":"10.1109/FENDT54151.2021.9749635","DOIUrl":"https://doi.org/10.1109/FENDT54151.2021.9749635","url":null,"abstract":"Taking 40Cr steel round bar specimens as the research object, the magnetic permeability characteristics and material hardness of the specimens under different quenching and tempering temperature conditions were measured. The relationship model between magnetic permeability signal, hardness and heat treatment temperature is established. The results show that within a certain quenching temperature range, the magnetic permeability signal and material hardness of the component are related to the quenching temperature and tempering temperature. The magnetic permeability signal decreases with the increase of the quenching temperature and increases with the increase of the tempering temperature; the hardness of the material increases with the increase of the quenching temperature, and decreases with the increase of the tempering temperature. The relationship between the permeability signal and hardness and the quenching and tempering temperature is explored, which can provide a reference for determining the performance, structure and heat treatment temperature parameters of the component based on the hardness and permeability signal.","PeriodicalId":425658,"journal":{"name":"2021 IEEE Far East NDT New Technology & Application Forum (FENDT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130378778","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Chengguang Fan, Sunquan Yu, Bin Gao, Lei Yang, Yong Zhao
{"title":"Ultrasonic super resolution imaging for sizing of extended target in solid","authors":"Chengguang Fan, Sunquan Yu, Bin Gao, Lei Yang, Yong Zhao","doi":"10.1109/FENDT54151.2021.9749646","DOIUrl":"https://doi.org/10.1109/FENDT54151.2021.9749646","url":null,"abstract":"In this paper, phase-coherent multiple signal classification (PC-MUSIC), the typical ultrasonic super resolution imaging method, has been utilized to image and sizing the extended target in solid. Firstly, an experimental ultrasonic array system has been built to collect the real data from the test object via full matrix capture (FMC) process, and the data can be time-gated to extract the scattered signals related with the extended target. Secondly, the scattered signals are post-processed by PC-MUSIC over a given frequency bandwidth to obtain the ultrasonic image with high resolution. Lastly, a sizing method based on ultrasonic image, via calculating the −6 dB main lobe width, is proposed to assess the length of extended target, and its error is also calculated. The experiment has been implemented on a block of Al with a 10 mm long slot, larger than the ultrasonic wavelength at the central frequency of array. Experimental results show that PC-MUSIC considering phase information in the imaging process can correctly assess the length of extended target under some dimension of signal subspace.","PeriodicalId":425658,"journal":{"name":"2021 IEEE Far East NDT New Technology & Application Forum (FENDT)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115062885","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Research on crack monitoring based on eddy current with PVD thin film sensor","authors":"Shuyang He, Fei Yang, W. Cui","doi":"10.1109/FENDT54151.2021.9749694","DOIUrl":"https://doi.org/10.1109/FENDT54151.2021.9749694","url":null,"abstract":"In order to solve the problem that crack monitoring technology of PVD thin film sensor requires high synchronous fracture performance with the substrate structure, this paper changed the driving mode of PVD thin film sensor and adopted alternating current (AC), which effectively overcome the influence of this problem on crack monitoring. Firstly, the ring PVD film sensor is designed and manufactured for the edge of the bolt hole. The sensor is composed of driving film and induction film. Then, the sensor is encapsulated and insulated. Finally, the on-line fatigue crack monitoring experiment is carried out. The experimental results show that the amplitude of the output signal of the sensor starts to rise slowly with the crack growth. When the crack just passes through the induction film, the output signal of the sensor changes sharply. Therefore, the sensor can effectively monitor the crack initiation and propagation, and locate the crack tip according to the sharp change point of the output signal. The research results provide a sensor choice for the application of PVD thin film sensor in metal structural health monitoring technology.","PeriodicalId":425658,"journal":{"name":"2021 IEEE Far East NDT New Technology & Application Forum (FENDT)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128719868","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Two-Stage Quality Assessment Method of Power Equipment X-Ray Image Based on Improved CenterNet","authors":"Jing Zhou, Rui-qi Zhang, Kun Hao, Hui-bin Li, Peng Li, Rong-hai Liu, Xinliang Guo, Xin Zheng, Ying-Chun Yang, Hong-wei Xu, Guo-kun Chen, Ke-shun Dai, Zong-han Jiao, Xiaobin Cai","doi":"10.1109/FENDT54151.2021.9749690","DOIUrl":"https://doi.org/10.1109/FENDT54151.2021.9749690","url":null,"abstract":"In order to improve the recognition accuracy of X-ray inspection image quality of electric power equipment, also ensure defect detection and recognition algorithm models to obtain high-quality X-ray images, in view of the characteristics of the original X-ray image of power equipment based on twin-wire image quality meter, such as large resolution, relatively small size and compact arrangement of twin-wire pairs, a two-stage X-ray image quality assessment method for power equipment based on improved CenterNet is proposed. Firstly, in the coarse detection stage, the original CenterNet is used to detect the double-wire image quality meter region in the X-ray image. Then, in the fine detection stage, the improved CenterNet is used to detect the number of double-wire pairs in the double-wire image quality meter image. Finally, image quality assessment results are achieved according to the double-wire image quality meter evaluation standard. In order to solve the problems of low resolution and large ratio of long side to short side of double-wire pair, the backbone network structure of CenterNet is optimized and a global attention mechanism is introduced to improve the spatial resolution and representation ability of features. For detection of double-wire pairs, experimental results show that the average precision of the proposed method on the test set can reach 96.18%, and the detection accuracy of double-wire pairs with a detection error of less than 2 is as high as 97.5%, which can achieve the effective quality assessment of power equipment X-ray images.","PeriodicalId":425658,"journal":{"name":"2021 IEEE Far East NDT New Technology & Application Forum (FENDT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128787679","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sunquan Yu, Cheng-guang Fan, Quan Chen, Bin Gao, Jianming Guo
{"title":"A convolutional neural network method for damage location based on raw guided Lamb wave technique","authors":"Sunquan Yu, Cheng-guang Fan, Quan Chen, Bin Gao, Jianming Guo","doi":"10.1109/FENDT54151.2021.9749662","DOIUrl":"https://doi.org/10.1109/FENDT54151.2021.9749662","url":null,"abstract":"This paper studies the convolutional neural network (CNN) for damage localization based on raw Lamb waves. Locating damage is a critical step in structural health monitoring (SHM), while it is generally time-consuming and often difficult to implement. The CNN model is a deep learning model that can be trained to represent the high-dimensional data, which the traditional mathematical model is challenging to describe. Using CNN to detect damage faces two difficulties: the lack of enough damage samples to train the model, and the complex pre-processing. This paper introduces the numerical simulation approach to provides an alternative solution for this problem. Three different frequency signals are used to generate multi-channel images, which are then used as the input of the neural network to predict the damage location. The results indicate that the detection accuracy of the CNN trained with the simulation data reaches 95%.","PeriodicalId":425658,"journal":{"name":"2021 IEEE Far East NDT New Technology & Application Forum (FENDT)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128417335","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}