AWARD    Best Paper Award at SDEMPED 2023

Date:

August 30, 2023

Awarded to:

Bingnan Wang, Hiroshi Inoue, and Makoto Kanemaru

Description:

MERL and Mitsubishi Electric's paper titled “Motor Eccentricity Fault Detection: Physics-Based and Data-Driven Approaches” was awarded one of three best paper awards at the 14th IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives (SDEMPED 2023). MERL Senior Principal Research Scientist Bingnan Wang presented the paper and received the award at the symposium. Co-authors of the paper include Mitsubishi Electric researchers Hiroshi Inoue and Makoto Kanemaru.

SDEMPED was established as the only international symposium entirely devoted to the diagnostics of electrical machines, power electronics and drives. It is now a regular biennial event. The 14th version, SDEMPED 2023 was held in Chania, Greece from August 28th to 31st, 2023.

External Link:

https://www.ieee-sdemped.org/

Research Areas:

Applied Physics, Data Analytics, Multi-Physical Modeling

• Related Publications

   Wang, B., Inoue, H., Kanemaru, M., "Motor Eccentricity Fault Detection: Physics-Based and Data-Driven Approaches", IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives (SDEMPED), DOI: 10.1109/​SDEMPED54949.2023.10271414, August 2023, pp. 42-48.

  BibTeX TR2023-107 PDF

  • @inproceedings{Wang2023aug,
  • author = {Wang, Bingnan and Inoue, Hiroshi and Kanemaru, Makoto},
  • title = {Motor Eccentricity Fault Detection: Physics-Based and Data-Driven Approaches},
  • booktitle = {2023 IEEE 14th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED)},
  • year = 2023,
  • pages = {42--48},
  • month = aug,
  • publisher = {IEEE},
  • doi = {10.1109/SDEMPED54949.2023.10271414},
  • url = {https://www.merl.com/publications/TR2023-107}
  • }