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1
المؤلفون: Yinjia Li, Sara Kohtz, Pingfeng Wang
المصدر: 2023 Annual Reliability and Maintainability Symposium (RAMS).
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::1621b1ccf66549f37013f7afa9b0b004
https://doi.org/10.1109/rams51473.2023.10088180 -
2
المؤلفون: Zhuoyuan Zheng, Yanwen Xu, Bayan Hamdan, Sara Kohtz, Pedro V. M. Costa, Alvaro M. Costa, Carlos H. B. Morais, Pingfeng Wang
المصدر: Volume 3A: 48th Design Automation Conference (DAC).
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::d353951f23f3aaba7945e141951ece0c
https://doi.org/10.1115/detc2022-90496 -
3
المؤلفون: Zhuoyuan Zheng, Zheng Liu, Sara Kohtz, Pingfeng Wang, Yumeng Li, Wuchen Fu, Nenad Miljkovic, Sonya Smith
المصدر: 2022 IEEE Transportation Electrification Conference & Expo (ITEC).
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::c639d782820f96bc3e169d534130117b
https://doi.org/10.1109/itec53557.2022.9813807 -
4
المؤلفون: Yanwen Xu, Sara Kohtz, Jessica Boakye, Paolo Gardoni, Pingfeng Wang
المصدر: Reliability Engineering & System Safety. 230:108900
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5
المؤلفون: Sara Kohtz, Pingfeng Wang
المصدر: 2022 Annual Reliability and Maintainability Symposium (RAMS).
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::ab20e7748f8393c2dbd23c126f061707
https://doi.org/10.1109/rams51457.2022.9893922 -
6
المؤلفون: Pingfeng Wang, Sara Kohtz
المصدر: 2021 Annual Reliability and Maintainability Symposium (RAMS).
مصطلحات موضوعية: Materials science, Chemical engineering, Gamma process, Degradation (geology), Ion
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::73617690af4d297a74d86986f464f43a
https://doi.org/10.1109/rams48097.2021.9605712 -
7
المؤلفون: Pingfeng Wang, Sara Kohtz
المصدر: ICPHM
مصطلحات موضوعية: Battery (electricity), 021103 operations research, business.industry, Computer science, State of health, 020208 electrical & electronic engineering, 0211 other engineering and technologies, Complex system, 02 engineering and technology, Kalman filter, Machine learning, computer.software_genre, Field (computer science), State of charge, 0202 electrical engineering, electronic engineering, information engineering, Prognostics, Artificial intelligence, business, Particle filter, computer
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::5cf35a8d69e282523bbac6a7209b3ddc
https://doi.org/10.1109/icphm49022.2020.9187029