MACA Algorithm to Accelerate Modeling of Eddy Current Position Sensor


  • Yang Bao Department of Electrical and Computer Engineering Iowa State University, Ames, IA 50011, USA
  • Zhiwei Liu Department of Information Engineering East China Jiaotong University, Nanchang, Jiangxi 330013, China
  • Jiming Song Department of Electrical and Computer Engineering Iowa State University, Ames, IA 50011, USA


Eddy current nondestructive evaluation, modified adaptive cross approximation, position sensor


In this paper, we proposed a Modified Adaptive Cross Approximation (MACA) algorithm method to model an eddy current probe used as position sensor in Nondestructive Evaluation (NDE). Eddy current based position sensor can be used when optical aids cannot to guide the position of the coil. We use surface integral equation technique with selected Stratton-Chu formulation and apply MACA algorithm to accelerate the calculation of impedance change for the position sensor. Good performance of proposed method is demonstrated with numerical examples.


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How to Cite

Yang Bao, Zhiwei Liu, & Jiming Song. (2019). MACA Algorithm to Accelerate Modeling of Eddy Current Position Sensor. The Applied Computational Electromagnetics Society Journal (ACES), 34(08), 1262–1265. Retrieved from