Bingnan Wang
- Phone: 617-621-7558
- Email:
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Position:
Research / Technical Staff
Senior Principal Research Scientist -
Education:
Ph.D., Iowa State University, 2009 -
Research Areas:
External Links:
Bingnan's Quick Links
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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.
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Recent News & Events
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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 ModelingBrief- 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.
- 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.
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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, OptimizationAbstract- 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.
See All News & Events for Bingnan -
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Internships with Bingnan
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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.
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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.
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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
- , "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}
- }
- , "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}
- }
- , "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}
- }
- , "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}
- }
- , "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}
- }
- , "Topological Data Analysis for Electric Motor Eccentricity Fault Detection", Annual Conference of the IEEE Industrial Electronics Society (IECON), October 2022.
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Videos
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MERL Issued Patents
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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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Title: "Multi-Layer Axial and Radial flux Vernier Permanent Magnet Motor"