Electric Systems

Modeling & optimization of power systems and electromagnetic machines.

Our research in this area includes flexible and resilient power system design and operational optimization; modeling and analysis of electric machines for applications such as fault detection of motors, power efficiency improvement and design complexity reduction.

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  • Researchers

  • Awards

    •  AWARD    Best paper award at PHMAP 2023
      Date: September 14, 2023
      Awarded to: Dehong Liu, Anantaram Varatharajan, and Abraham Goldsmith
      MERL Contacts: Abraham Goldsmith; Dehong Liu
      Research Areas: Electric Systems, Signal Processing
      Brief
      • MERL researchers Dehong Liu, Anantaram Varatharajan, and Abraham Goldsmith were awarded one of three best paper awards at Asia Pacific Conference of the Prognostics and Health Management Society 2023 (PHMAP23) held in Tokyo from September 11th to 14th, 2023, for their co-authored paper titled 'Extracting Broken-Rotor-Bar Fault Signature of Varying-Speed Induction Motors.'

        PHMAP is a biennial international conference specialized in prognostics and health management. PHMAP23 attracted more than 300 attendees from worldwide and published more than 160 regular papers from academia and industry including aerospace, production, civil engineering, electronics, and so on.
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    •  AWARD    MERL receives 33rd ARIB Radio Achievement Award
      Date: June 28, 2022
      Awarded to: Yukimasa Nagai, Jianlin Guo, Shoichi Kitazawa, Kazuto Yano.
      MERL Contacts: Jianlin Guo; Philip V. Orlik
      Research Areas: Communications, Electric Systems
      Brief
      • Mitsubishi Electric Corporation (Yukimasa Nagai), MERL (Jianlin Guo), Muroran Institute of Technology (Shoichi Kitazawa) and Advanced Telecommunications Research Institute International (Kazuto Yano) jointly won the 33rd ARIB Radio Achievement Award with "IEEE 802.19.3 Standardization and Development for Sub-1 GHz Wireless Frequency Coexistence". The ARIB is an organization similar to the FCC in the U.S. It is responsible for setting standards for all radio communications in Japan at the request of the Ministry of Internal Affairs and Communications (MIC). In order to promote the effective use of radio waves, the "Radio Achievement Award" is given annually to an individual or organization that has made a special achievement in the effective use of radio waves. This award is the most prestigious award in the field of wireless communications in Japan.
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    •  AWARD    Best conference paper of IEEE PES-GM 2020
      Date: June 18, 2020
      Awarded to: Tong Huang, Hongbo Sun, K.J. Kim, Daniel Nikovski, Le Xie
      MERL Contacts: Daniel N. Nikovski; Hongbo Sun
      Research Areas: Data Analytics, Electric Systems, Optimization
      Brief
      • A paper on A Holistic Framework for Parameter Coordination of Interconnected Microgrids Against Natural Disasters, written by Tong Huang, a former MERL intern from Texas A&M University, has been selected as one of the Best Conference Papers at the 2020 Power and Energy Society General Meeting (PES-GM). IEEE PES-GM is the flagship conference for the IEEE Power and Energy Society. The work was done in collaboration with Hongbo Sun, K. J. Kim, and Daniel Nikovski from MERL, and Tong's advisor, Prof. Le Xie from Texas A&M University.
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  • News & Events


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  • Internships

    • EA2168: Blockchain Solutions for Factory Automation 2

      MERL is seeking an intern to work on blockchain based solutions for factory automation. The ideal candidate will have experience implementing a blockchain network with Hyperledger Fabric, have experience working with smart contracts, and be fluent languages common in the blockchain space such as js, Go, etc. Experience deploying cloud based applications and docker is highly desirable. The start date is flexible and the duration is 3-4 months.


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  • Openings


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  • Recent Publications

    •  Lu, Z., Wang, Y., Sakamoto, Y., Mou, S., "Distributed Co-Design of Motors and Motions for Robotic Manipulators", European Control Conference (ECC), June 2024.
      BibTeX TR2024-083 PDF
      • @inproceedings{Lu2024jun,
      • author = {Lu, Zehui and Wang, Yebin and Sakamoto, Yusuke and Mou, Shaoshuai}},
      • title = {Distributed Co-Design of Motors and Motions for Robotic Manipulators},
      • booktitle = {European Control Conference (ECC)},
      • year = 2024,
      • month = jun,
      • url = {https://www.merl.com/publications/TR2024-083}
      • }
    •  Rahman, S., Wang, Y., Menner, M., Liu, D., "Sizing of Electric Vehicle Power Converter Based on Distributed Operating Points", 2024 IEEE Transportation Electrification Conference & Expo, June 2024.
      BibTeX TR2024-075 PDF
      • @inproceedings{Rahman2024jun2,
      • author = {Rahman, Syed and Wang, Yebin and Menner, Marcel and Liu, Dehong}},
      • title = {Sizing of Electric Vehicle Power Converter Based on Distributed Operating Points},
      • booktitle = {2024 IEEE Transportation Electrification Conference & Expo},
      • year = 2024,
      • month = jun,
      • url = {https://www.merl.com/publications/TR2024-075}
      • }
    •  Shinya, T., Liu, D., "Harmonic Signature Extraction in Motor Fault Detection via a Weighted Sparsity-driven and Graph-based Model", The IFAC Safeprocess 2024 Symposium, June 2024.
      BibTeX TR2024-067 PDF
      • @inproceedings{Shinya2024jun,
      • author = {Shinya, Tsurutashin and Liu, Dehong}},
      • title = {Harmonic Signature Extraction in Motor Fault Detection via a Weighted Sparsity-driven and Graph-based Model},
      • booktitle = {The IFAC Safeprocess 2024 Symposium},
      • year = 2024,
      • month = jun,
      • url = {https://www.merl.com/publications/TR2024-067}
      • }
    •  Sakamoto, Y., Wang, B., Yamamoto, T., Nishimura, Y., "Permanent Magnet Motor Torque Waveform Prediction Using Learned Gap Flux", Biennial IEEE Conference on Electromagnetic Field Computation (CEFC), June 2024.
      BibTeX TR2024-065 PDF
      • @inproceedings{Sakamoto2024jun,
      • author = {Sakamoto, Yusuke and Wang, Bingnan and Yamamoto, Tatsuya and Nishimura, Yuki}},
      • title = {Permanent Magnet Motor Torque Waveform Prediction Using Learned Gap Flux},
      • booktitle = {Biennial IEEE Conference on Electromagnetic Field Computation (CEFC)},
      • year = 2024,
      • month = jun,
      • url = {https://www.merl.com/publications/TR2024-065}
      • }
    •  Wang, B., Sakamoto, Y., "Data-efficient Machine Learning Methods for Electric Motor Surrogate Models", Biennial IEEE Conference on Electromagnetic Field Computation (CEFC), June 2024.
      BibTeX TR2024-064 PDF
      • @inproceedings{Wang2024jun2,
      • author = {Wang, Bingnan and Sakamoto, Yusuke}},
      • title = {Data-efficient Machine Learning Methods for Electric Motor Surrogate Models},
      • booktitle = {Biennial IEEE Conference on Electromagnetic Field Computation (CEFC)},
      • year = 2024,
      • month = jun,
      • url = {https://www.merl.com/publications/TR2024-064}
      • }
    •  Wang, B., Lin, C., Inoue, H., Kanemaru, M., "Induction Motor Eccentricity Fault Detection and Quantification using Topological Data Analysis", IEEE Access, June 2024.
      BibTeX TR2024-063 PDF
      • @article{Wang2024jun,
      • author = {Wang, Bingnan and Lin, Chungwei and Inoue, Hiroshi and Kanemaru, Makoto}},
      • title = {Induction Motor Eccentricity Fault Detection and Quantification using Topological Data Analysis},
      • journal = {IEEE Access},
      • year = 2024,
      • month = jun,
      • url = {https://www.merl.com/publications/TR2024-063}
      • }
    •  Lin, C., Wang, B., "Analytical Green’s functions for two-dimensional electrostatics and Boundary-element based solver", 2024 ACES (Applied Computational Electromagnetics Society) Symposium, May 2024.
      BibTeX TR2024-060 PDF
      • @inproceedings{Lin2024may3,
      • author = {Lin, Chungwei and Wang, Bingnan}},
      • title = {Analytical Green’s functions for two-dimensional electrostatics and Boundary-element based solver},
      • booktitle = {2024 ACES (Applied Computational Electromagnetics Society) Symposium},
      • year = 2024,
      • month = may,
      • url = {https://www.merl.com/publications/TR2024-060}
      • }
    •  Zhang, Z., Lin, C., Wang, B., "Physics-informed shape optimization using coordinate projection", Scientific Reports, DOI: 10.1038/​s41598-024-57137-4, Vol. 14, pp. 6537, April 2024.
      BibTeX TR2024-035 PDF
      • @article{Zhang2024apr,
      • author = {Zhang, Zhizhou and Lin, Chungwei and Wang, Bingnan},
      • title = {Physics-informed shape optimization using coordinate projection},
      • journal = {Scientific Reports},
      • year = 2024,
      • volume = 14,
      • pages = 6537,
      • month = apr,
      • doi = {10.1038/s41598-024-57137-4},
      • url = {https://www.merl.com/publications/TR2024-035}
      • }
    See All Publications for Electric Systems

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