4 / 2020-09-23 11:56:31
Dynamic Inspection Method of Motor Winding Defects Based on Scanning Electromagnetic Thermography and Data Reconstruction Algorithm
Dynamic inspection, data reconstruction, motor winding defects, scanning electromagnetic thermography.
Final Paper
Yu Peng / Hunan University
Shoudao Huang / Hunan University
Xin Guo / Hunan University
Zhengjun Tang / Xiangtan Electric Manufacturing Co., Ltd
Derong Luo / Hunan University
  In this paper, a novel dynamic inspection method with the help of the scanning electromagnetic thermography (SET) and an advanced data reconstruction algorithm is proposed. The new inspection method is utilized to detect the multiply motor winding defects automatically and visually. The SET-based experiment system is conducted to simulate the industrial assembly line and realizes the constant acquisition of thermograms. However, the acquired thermal images are misaligned in time and space which cannot be used for further analysis. Therefore, a new 3D data reconstruction algorithm is proposed to achieve accurate spatial-temporal calibration of the image sequence. The classical contrast enhancement methods, including Fast Fourier transform (FFT), Principal Component Analysis (PCA), and Non-negative Matrix Factorization (NMF) are employed to process the reconstructed data. The experimental results show that the proposed dynamic inspection method could provide a rapid and reliable means for the research, manufacturing, testing, and maintenance of motors.
 
Important Date
  • Conference Date

    Nov 02

    2020

    to

    Nov 04

    2020

  • Oct 27 2020

    Draft paper submission deadline

  • Nov 03 2020

    Contribution Submission Deadline

  • Nov 04 2020

    Registration deadline

  • Nov 17 2020

    Final Paper Deadline

Sponsored By
IEEE IAS Student Chapter of Huazhong University of Science and Technology (HUST)
Organized By
Huazhong University of Science and Technology
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