Advances in Engineering Advances in Engineering features breaking research judged by Advances in Engineering advisory team to be of key importance in the Engineering field. Papers are selected from over 10,000 published each week from most peer reviewed journals.
Guang Yang
NDT & E International, Volume 52, November 2012
Abstract
In the application of electromagnetic nondestructive evaluation (NDE), the measured signals received by sensors are decided by the flaw associated with operational parameters during inspection. The techniques of invariant pattern recognition have been studied to render NDE signals insensitive to operational variations and preserve or recover crack information. The invariant scheme and algorithms have been addressed to facilitate magnetostatic flux leakage and eddy current NDE, which eliminated operational parameters and lift-off changes corrupt from signal measurements. A novel invariance analysis of eddy current (EC) signals in the inspection of deeply embedded cracks under layered fastener heads has been presented in this paper. A detection system based on uniform EC excitation and giant-magnetoresistive (GMR) pick-up sensors has been developed and shown improved detectability of 2nd and 3rd layer defects around fastener sites in multilayer structures. However, the sensor-tilt due to variation of probe lift-off can generate redundant response as noise effect and obscure the flaw inspection. The variations of GMR sensor-tilt with crack inspection are investigated using an efficient numerical model that simulates the used EC-GMR system. The scheme of invariance transformation is proposed to exclude the sensor-tilt noise and keep the defect inspection identical. The statistical features insensitive to tilt effects are extracted after the invariance processing, which has ensured the probability of flaw detection.
Guang Yang received the Ph.D. degree in Precision Instruments and Machinery from Department of Instrument Science and Engineering of Shanghai Jiaotong University (Shanghai, China) in 2010. She currently is a Research Assistant, PhD of Nondestructive Evaluation Laboratory at Department of Electrical and Computer Engineering, MichiganStateUniversity (East Lansing, USA). Her research interests include non-destructive testing and material evaluation, electromagnetic sensor and electromagnetic imaging, computational electromagnetism, detection system design, and signal processing for automatic detection.
She has authored and co-authored over 10 highly-recognized journal articles and about 20 peer-reviewed conference papers and abstracts. She is member of Institute of IEEE, American Society for Nondestructive Testing (ASNT), and Applied Computational Electromagnetics society (ACES). She serves as a referee for journals and international conferences, including IEEE Sensor Journal, Journal of Nondestructive Evaluation, and Process Biochemistry.
Go to Journal
