Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Daisy H. Green"'
Publikováno v:
IEEE Open Journal of Instrumentation and Measurement, Vol 1, Pp 1-14 (2022)
Electromechanical systems experience both gradual and sudden fault conditions. Power monitoring provides a valuable approach for detecting faults, essentially turning a machine into its own sensor for observing developing and abrupt failures. Machine
Externí odkaz:
https://doaj.org/article/5ba3e98657484dcdaacd0e3a5656fa62
Autor:
Daisy H. Green, Aaron W. Langham, Devin W. Quinn, Thomas C. Krause, Steven R. Shaw, Steven B. Leeb
Publikováno v:
IEEE Access, Vol 10, Pp 117985-117999 (2022)
Nonintrusive identification of the energy consumption of individual loads from an aggregate power stream typically relies on relatively well-defined transient signatures. However, some loads have non-constant power demand that varies with loading con
Externí odkaz:
https://doaj.org/article/ce09955e06d0478a91aef91f5d2de020
Autor:
Thomas Deeter, Daisy H. Green, Stephen Kidwell, Thomas J. Kane, John S. Donnal, Katherine Vasquez, Bartholomew Sievenpiper, Steven B. Leeb
Publikováno v:
IEEE Access, Vol 9, Pp 35633-35645 (2021)
Trends in power system simulation that demand computationally-intensive, physics-based models may impede the acquisition of useful results for applications like condition-based maintenance, electrical plant load analysis (EPLA), and the scheduling an
Externí odkaz:
https://doaj.org/article/decba07be21f46af9cdc23afada06f64
Publikováno v:
IEEE Transactions on Industrial Informatics. 19:2363-2373
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 71:1-9
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems. :1-15
Practical machine learning applications for streaming data can involve concept drift (the change in statistical properties of data over time), one-shot or few-shot learning (starting with only one or a few examples for each class), a scarcity of repr
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 71:1-12
Autor:
Daisy H. Green, Thomas Krause, Lukasz Huchel, Steven B. Leeb, Andrew Moeller, Katherine Camenzind
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 71:1-10
Publikováno v:
IEEE Transactions on Instrumentation and Measurement. 71:1-10
Autor:
Joseph W. O'Connell, Daisy H. Green, Lukasz Huchel, Steven B. Leeb, Andrew Moeller, Kahyun Lee, Stephen Kidwell, Brian T. Mills
Publikováno v:
IEEE Sensors Journal. 21:19268-19278
Ventilation systems depend on periodic preventive maintenance. Unfortunately, mission critical systems, exposed to varying levels of particulates and other contaminants, may require unpredictable and highly variable maintenance intervals. Direct sens