Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Jeremy Sheldon"'
Publikováno v:
AIAA Scitech 2019 Forum.
Publikováno v:
Wind Energy. 17:745-755
Publikováno v:
SPIE Proceedings.
The applicability of Electro-Mechanical Impedance (EMI) approach to damage detection, localization and quantification in a mobile bridge structure is investigated in this paper. The developments in this paper focus on assessing the health of Armored
Publikováno v:
2011 Aerospace Conference.
This paper presents a computationally economical algorithm that provides RMS value of vibration velocity calculated using the accelerometer measurements embedded in modern smartphones. This measurement extends the use of smartphones to quickly diagno
Publikováno v:
Volume 1: Aircraft Engine; Ceramics; Coal, Biomass and Alternative Fuels; Wind Turbine Technology.
The Department of Energy’s (DOE) goal for wind energy is that it comprise 20% of the nation’s energy by 2030. For this to be achieved, so called “distributed wind” and off-shore wind farms will be required. However, to date, operating & maint
Publikováno v:
Volume 3: Controls, Diagnostics and Instrumentation; Cycle Innovations; Marine.
Traditional engine health management development has focused on major gas turbine engine components (i.e., disks, blades, bearings, etc.) due to the fact that these components are expensive to maintain and their failures frequently have safety implic
Autor:
Jeremy Sheldon, Alireza Behbahani, Wright-Patterson Afb, Hyungdae Lee, Carl S. Byington, Matthew J. Watson
Publikováno v:
46th AIAA/ASME/SAE/ASEE Joint Propulsion Conference & Exhibit.
Today’s modern aircraft have strict Prognostics and Health Management (PHM) requirements for each module and line replaceable component (LRC). Despite these requirements, there is limited on-board processing capability for health monitoring of even
Autor:
Michael Begin, Hyungdae Lee, Jeremy Sheldon, Carl S. Byington, Matthew J. Watson, Sanket Amin
Publikováno v:
Volume 5: Turbo Expo 2007.
The authors have developed a comprehensive, high frequency (1–100 kHz) vibration monitoring system for incipient fault detection of critical rotating components within engines, drive trains, and generators. The high frequency system collects and an
Autor:
Pattada Kallappa, J. Hines, Carl S. Byington, M. DeChristopher, Sanket Amin, Jeremy Sheldon, P.E. Rolf Orsagh
Publikováno v:
2006 IEEE Aerospace Conference.
This paper updates current efforts by the authors to develop fully-automated, online incipient fault detection and prognosis algorithms for drivetrain and engine bearings. The authors have developed and evolved ImpactEnergy/spl trade/, a feature extr
Publikováno v:
2003 IEEE Aerospace Conference Proceedings (Cat. No.03TH8652).
Development of robust in-flight prognostics or diagnostics for oil wetted gas turbine engine components will play a critical role in improving aircraft engine reliability and maintainability. Real-time algorithms for predicting and detecting bearing