Bingnan Wang

  • Biography

    Bingnan's doctoral work focused on the study of wave propagation in novel electromagnetic materials, including photonic crystals and meta-materials. His research interests include electromagnetics and photonics, and their applications to communications, imaging, and energy systems.

  • Recent News & Events

    •  NEWS    Bingnan Wang gave seminar talk at WEMPEC in University of Wisconsin-Madison
      Date: October 28, 2022
      MERL Contacts: Dehong Liu; Bingnan Wang; Jinyun Zhang
      Research Areas: Applied Physics, Data Analytics, Multi-Physical Modeling
      Brief
      • MERL researcher Bingnan Wang gave seminar talk at Wisconsin Electric Machines and Power Electronics Consortium (WEMPEC), which is recognized globally for its sustained contributions to electric machines and power electronics technology. He gave an overview of MERL research, especially on electric machines, and introduced our recent work on quantitative eccentricity fault diagnosis technologies for electric motors, including physical-model approach using improved winding function theory, and data-driven approach using topological data analysis to effectively differentiate signals from different fault conditions.

        The seminar was given on Teams. MERL researchers Jin Zhang, Dehong Liu, Yusuke Sakamoto and Bingnan Wang held meetings with WEMPEC faculty members before the seminar to discuss various research topics, and met virtually with students after the talk.
    •  
    •  TALK    A Tunable Control/Learning Framework for Autonomous Systems
      Date & Time: Thursday, October 13, 2022; 1:30pm-2:30pm
      Speaker: Prof. Shaoshuai Mou, Purdue University
      MERL Host: Yebin Wang
      Research Areas: Control, Machine Learning, Optimization
      Abstract
      • Modern society has been relying more and more on engineering advance of autonomous systems, ranging from individual systems (such as a robotic arm for manufacturing, a self-driving car, or an autonomous vehicle for planetary exploration) to cooperative systems (such as a human-robot team, swarms of drones, etc). In this talk we will present our most recent progress in developing a fundamental framework for learning and control in autonomous systems. The framework comes from a differentiation of Pontryagin’s Maximum Principle and is able to provide a unified solution to three classes of learning/control tasks, i.e. adaptive autonomy, inverse optimization, and system identification. We will also present applications of this framework into human-autonomy teaming, especially in enabling an autonomous system to take guidance from human operators, which is usually sparse and vague.
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  • Internships with Bingnan

    • MD1894: Topology Optimization for Electric Machines

      MERL is seeking a motivated and qualified intern to conduct research on topology optimization of electrical machines. The ideal candidate should have solid background and demonstrated research experience in mathematical optimization methods, in particular in topology optimization, robust optimization, and sensitivity analysis. Hands-on coding experiences with the implementation of topology optimization algorithms and finite-element simulation are desirable. Knowledge and experience with electric machine principle, design and finite-element analysis is a strong plus. Senior Ph.D. students in related expertise are encouraged to apply. The start date is flexible and typical duration is about 3 months.

    • MD1896: Machine Learning based Electric Machine Design

      MERL is seeking a motivated and qualified intern to conduct research on machine learning based electric machine design and optimization. Ideal candidates should be Ph.D. students with solid background and publication record in electric machine design and optimization, as well as machine learning especially for inverse design. Hands-on experiences with the implementation of optimization algorithms, machine learning and deep learning methods are required. Strong programming skills using Python/PyTorch are expected. Knowledge and experience with electric machine principle, design and finite-element analysis are highly desirable. Start date for this internship is flexible and the duration is 3-6 months.

    • MD1897: Electric Motor Fault Detection

      MERL is seeing a motivated and qualified individual to conduct research on electric machine fault analysis and detection. Ideal candidates should be Ph.D. students with solid background and publication record in one more research area: electric machine design, analysis, fault detection, and predictive maintenance. Research experiences on modeling and analysis of electric machines and fault detection are required. Hands-on experience with permanent magnet synchronous motor (PMSM) design, data analysis, and machine learning techniques are highly desirable. Start date for this internship is flexible and the duration is 3-6 months.

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  • MERL Publications

    •  Wang, B., Lin, C., Inoue, H., Kanemaru, M., "Topological Data Analysis for Electric Motor Eccentricity Fault Detection", Annual Conference of the IEEE Industrial Electronics Society (IECON), October 2022.
      BibTeX TR2022-130 PDF
      • @inproceedings{Wang2022oct2,
      • author = {Wang, Bingnan and Lin, Chungwei and Inoue, Hiroshi and Kanemaru, Makoto},
      • title = {Topological Data Analysis for Electric Motor Eccentricity Fault Detection},
      • booktitle = {Annual Conference of the IEEE Industrial Electronics Society (IECON)},
      • year = 2022,
      • month = oct,
      • url = {https://www.merl.com/publications/TR2022-130}
      • }
    •  Nishanth, F., Wang, B., "Topology Optimization of Electric Machines: A Review", IEEE Energy Conversion Congress and Exposition (ECCE), October 2022.
      BibTeX TR2022-128 PDF
      • @inproceedings{Nishanth2022oct,
      • author = {Nishanth, FNU and Wang, Bingnan},
      • title = {Topology Optimization of Electric Machines: A Review},
      • booktitle = {IEEE Energy Conversion Congress and Exposition (ECCE)},
      • year = 2022,
      • month = oct,
      • url = {https://www.merl.com/publications/TR2022-128}
      • }
    •  Wang, B., Talukder, K., Sakamoto, Y., "Topological Data Analysis for Image-based Machine Learning: Application to Electric Motors", IEEE International Conference on Electrical Machines (ICEM), DOI: 10.1109/​ICEM51905.2022.9910734, September 2022, pp. 1015-1021.
      BibTeX TR2022-113 PDF
      • @inproceedings{Wang2022sep,
      • author = {Wang, Bingnan and Talukder, Khaled and Sakamoto, Yusuke},
      • title = {Topological Data Analysis for Image-based Machine Learning: Application to Electric Motors},
      • booktitle = {2022 International Conference on Electrical Machines (ICEM)},
      • year = 2022,
      • pages = {1015--1021},
      • month = sep,
      • doi = {10.1109/ICEM51905.2022.9910734},
      • url = {https://www.merl.com/publications/TR2022-113}
      • }
    •  Wang, B., Zhou, L., Miyoshi, M., Inoue, H., Kanemaru, M., "Quantification of Induction Motor Bearing Fault Severity based on Modified Winding Function Theory", International Conference on Electrical Machines and Systems (ICEMS), DOI: 10.23919/​ICEMS52562.2021.9634328, November 2021, pp. 944-948.
      BibTeX TR2021-139 PDF
      • @inproceedings{Wang2021nov3,
      • author = {Wang, Bingnan and Zhou, Lei and Miyoshi, Masahito and Inoue, hiroshi and Kanemaru, Makoto},
      • title = {Quantification of Induction Motor Bearing Fault Severity based on Modified Winding Function Theory},
      • booktitle = {2021 24th International Conference on Electrical Machines and Systems (ICEMS)},
      • year = 2021,
      • pages = {944--948},
      • month = nov,
      • publisher = {IEEE},
      • doi = {10.23919/ICEMS52562.2021.9634328},
      • url = {https://www.merl.com/publications/TR2021-139}
      • }
    •  Wang, B., Shin, K.-H., Hidaka, Y., Kondo, S., Arita, H., Ito, K., "Analytical Magnetic Model for Variable-Flux Interior Permanent Magnet Synchronous Motors", IEEE Energy Conversion Congress and Exposition (ECCE), DOI: 10.1109/​ECCE47101.2021.9595341, October 2021, pp. 4142-4148.
      BibTeX TR2021-123 PDF
      • @inproceedings{Wang2021oct2,
      • author = {Wang, Bingnan and Shin, Kyung-Hun and Hidaka, Yuki and Kondo, Shota and Arita, Hideaki and Ito, Kazumasa},
      • title = {Analytical Magnetic Model for Variable-Flux Interior Permanent Magnet Synchronous Motors},
      • booktitle = {2021 IEEE Energy Conversion Congress and Exposition (ECCE)},
      • year = 2021,
      • pages = {4142--4148},
      • month = oct,
      • publisher = {IEEE},
      • doi = {10.1109/ECCE47101.2021.9595341},
      • url = {https://www.merl.com/publications/TR2021-123}
      • }
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  • Videos

  • MERL Issued Patents

    • Title: "Multi-Layer Axial and Radial flux Vernier Permanent Magnet Motor"
      Inventors: Zhou, Lei; Wang, Bingnan; Lin, Chungwei; Liu, Dehong; Wang, Yebin; Teo, Koon Hoo
      Patent No.: 11,502,564
      Issue Date: Nov 15, 2022
    • Title: "Electric Machine with Combined Axial- and Radial-Flux"
      Inventors: Zhou, Lei; Wang, Bingnan; Wang, Hongyu
      Patent No.: 11,482,894
      Issue Date: Oct 25, 2022
    • Title: "Method for Static Eccentricity Fault Detection of Induction Motors"
      Inventors: Zhou, Lei; Wang, Bingnan; Lin, Chungwei
      Patent No.: 11411521
      Issue Date: Aug 9, 2022
    • Title: "Modeling Interior Permanent Magnet Synchronous Machines Considering Permeability of Rotor"
      Inventors: Wang, Bingnan; Shin, Kyung-Hun
      Patent No.: 11,366,944
      Issue Date: Jun 21, 2022
    • Title: "System and Method for Estimating Temperature and Heat Loss in Electric Motors"
      Inventors: Wang, Bingnan; Wang, Yebin; Ma, Tong; Lin, Chungwei; Komatsu, Taiga
      Patent No.: 11,293,986
      Issue Date: Apr 5, 2022
    • Title: "Method for Estimating Bearing Fault Severity for Induction Motors"
      Inventors: Wang, Bingnan; Zhang, Shen; Kanemaru, Makoto; Lin, Chungwei; Liu, Dehong; Teo, Koon Hoo
      Patent No.: 11,099,101
      Issue Date: Aug 24, 2021
    • Title: "RAIL STATE MONITORING APPARATUS"
      Inventors: Tsujita, Wataru; MAKINO, Kenzo; Wang, Bingnan; TAKAMI, Atsushi
      Patent No.: 11001282
      Issue Date: May 11, 2021
    • Title: "Optical Waveguide Interferometer"
      Inventors: Kojima, Keisuke; Wang, Bingnan; Koike-Akino, Toshiaki; Akiyama, Koichi; Yagyu, Eiji; Nishikawa, Satoshi; Shinohara, Kosuke
      Patent No.: 10,996,400
      Issue Date: May 4, 2021
    • Title: "Systems and Methods for On-Orbit Fabrication of Structures by 3D Printing"
      Inventors: Yerazunis, William S.; Weiss, Avishai; Wang, Bingnan
      Patent No.: 10,906,290
      Issue Date: Feb 2, 2021
    • Title: "Compact Photonic Devices"
      Inventors: Kojima, Keisuke; Tahersima, Mohammad; Koike-Akino, Toshiaki; Jha, Devesh; Wang, Bingnan; Lin, Chungwei; Parsons, Kieran
      Patent No.: 10,859,769
      Issue Date: Dec 8, 2020
    • Title: "Negative Electroluminescent Cooling Device"
      Inventors: Lin, Chungwei; Wang, Bingnan; Teo, Koon Hoo
      Patent No.: 10,840,163
      Issue Date: Nov 17, 2020
    • Title: "Thermal Emitter for Energy Conversion Technical Field"
      Inventors: Wang, Bingnan; Lin, Chungwei; Wang, Jianjian; Teo, Koon Hoo
      Patent No.: 10,797,633
      Issue Date: Oct 6, 2020
    • Title: "Methods and Systems for Terahertz-Based Positioning"
      Inventors: Wang, Pu; Fu, Haoyu; Orlik, Philip V.; Koike-Akino, Toshiaki; Ma, Rui; Wang, Bingnan
      Patent No.: 10,795,151
      Issue Date: Oct 6, 2020
    • Title: "Near-Field Based Thermoradiative Device"
      Inventors: Wang, Bingnan; Lin, Chungwei; Teo, Koon Hoo
      Patent No.: 10,658,968
      Issue Date: May 19, 2020
    • Title: "Thermophotovoltaic Energy Converter"
      Inventors: Lin, Chungwei; Wang, Bingnan; Teo, Koon Hoo
      Patent No.: 10,497,821
      Issue Date: Dec 3, 2019
    • Title: "Polarization-Dependent Position Encoder"
      Inventors: Wang, Bingnan; Tsujita, Wataru; Sadamoto, Kota; Sawa, Yoshitsugu
      Patent No.: 10,451,447
      Issue Date: Oct 22, 2019
    • Title: "Contactless Sensor"
      Inventors: Wang, Bingnan; Teo, Koon Hoo; Orlik, Philip V.
      Patent No.: 10,288,759
      Issue Date: May 14, 2019
    • Title: "Digital Beamforming Transmitter Array System with Hardware Sharing and Reduction"
      Inventors: Wang, Bingnan; Peng, Zhengyu; Kim, Kyeong-Jin; Wang, Pu; Ma, Rui; Teo, Koon Hoo
      Patent No.: 10,270,510
      Issue Date: Apr 23, 2019
    • Title: "Compact Photonic Devices"
      Inventors: Kojima, Keisuke; Teng, Min; Koike-Akino, Toshiaki; Wang, Bingnan
      Patent No.: 10,234,627
      Issue Date: Mar 19, 2019
    • Title: "Beamforming Transmission with Analog Hardware Resource Sharing"
      Inventors: Kim, Kyeong-Jin; Peng, Zhengyu; Wang, Bingnan; Teo, Koon Hoo
      Patent No.: 10,218,550
      Issue Date: Feb 26, 2019
    • Title: "Photonic Integrated Circuit"
      Inventors: Kojima, Keisuke; Nishikawa, Satoshi; Toshiaki, Koike-Akino; Wang, Bingnan; Yagyu, Eiji
      Patent No.: 10,120,132
      Issue Date: Nov 6, 2018
    • Title: "Artificial Magnetic Structures for Wireless Power Transfer"
      Inventors: Wang, Bingnan; Yerazunis, William S.; Teo, Koon Hoo
      Patent No.: 9,842,685
      Issue Date: Dec 12, 2017
    • Title: "System and Method for Manipulating Polarizations of Optical Signal"
      Inventors: Kojima, Keisuke; Felicetti, Manuela; Koike-Akino, Toshiaki; Wang, Bingnan; Nishikawa, Satoshi; Yagyu, Eiji
      Patent No.: 9,557,485
      Issue Date: Jan 31, 2017
    • Title: "Wireless Energy Transfer with Negative Index Material"
      Inventors: Teo, Koon Hoo; Huang, Da; Wang, Bingnan
      Patent No.: 9,461,505
      Issue Date: Oct 4, 2016
    • Title: "System and Method for Automatically Optimizing Wireless Power"
      Inventors: Yerazunis, William S.; Wang, Bingnan; Teo, Koon Hoo; Duan, Chunjie; Barnwell, III, John C.; Burns, Dan J
      Patent No.: 9,281,875
      Issue Date: Mar 8, 2016
    • Title: "Proximity Sensor Detecting Metallic and Non-Metallic Objects"
      Inventors: Wang, Bingnan; Long, Jiang; Teo, Koon Hoo
      Patent No.: 9,274,075
      Issue Date: Mar 1, 2016
    • Title: "Mode-Evolution Compound Converter"
      Inventors: Kojima, Keisuke; Wang, Bingnan; Yuan, Wangqing; Yagyu, Eiji
      Patent No.: 9,128,242
      Issue Date: Sep 8, 2015
    • Title: "Multi-Mode Interference Device"
      Inventors: Kojima, Keisuke; Ozbayat, Selman; Koike-Akino, Toshiaki; Wang, Bingnan; Nishikawa, Satoshi; Yagyu, Eiji
      Patent No.: 9,116,298
      Issue Date: Aug 25, 2015
    • Title: "Multi-Mode Interference Device"
      Inventors: Koike-Akino, Toshiaki; Kojima, Keisuke; Wang, Bingnan; Nishikawa, Satoshi; Yagyu, Eiji
      Patent No.: 9,097,852
      Issue Date: Aug 4, 2015
    • Title: "Compound Optical Combiner"
      Inventors: Kojima, Keisuke; Wang, Bingnan; Koike-Akino, Toshiaki; Yagyu, Eiji; Nishikawa, Satoshi
      Patent No.: 9,052,461
      Issue Date: Jun 9, 2015
    • Title: "Multi-Mode Interference Manipulator"
      Inventors: Kojima, Keisuke; Wang, Bingnan; Koike-Akino, Toshiaki; Yuan, Wangqing; Nishikawa, Satoshi
      Patent No.: 8,942,517
      Issue Date: Jan 27, 2015
    • Title: "Wireless Energy Transfer Using Array of Resonant Objects"
      Inventors: Wang, Bingnan; Teo, Koon Hoo
      Patent No.: 8,890,366
      Issue Date: Nov 18, 2014
    • Title: "System and Method for Analyzing Spiral Resonators"
      Inventors: Wang, Bingnan; Teo, Koon Hoo; Ellstein, David
      Patent No.: 8,831,917
      Issue Date: Sep 9, 2014
    • Title: "Wireless Energy Transfer with Anisotropic Metamaterials"
      Inventors: Wang, Bingnan; Huang, Da; Teo, Koon Hoo
      Patent No.: 8,786,135
      Issue Date: Jul 22, 2014
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