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Author: National Aeronautics and Space Administration (NASA)
Publisher: Createspace Independent Publishing Platform
ISBN: 9781722041434
Category :
Languages : en
Pages : 46
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Book Description
The NASA Lewis Research Center's Principal Investigator Microgravity Services project analyzes Orbital Acceleration Research Experiment and Space Acceleration Measurement System data for principal investigators of microgravity experiments. Principal investigators need a thorough understanding of data analysis techniques so that they can request appropriate analyses to best interpret accelerometer data. Accelerometer data sampling and filtering is introduced along with the related topics of resolution and aliasing. Specific information about the Orbital Acceleration Research Experiment and Space Acceleration Measurement System data sampling and filtering is given. Time domain data analysis techniques are discussed and example environment interpretations are made using plots of acceleration versus time, interval average acceleration versus time, interval root-mean-square acceleration versus time, trimmean acceleration versus time, quasi-steady three dimensional histograms, and prediction of quasi-steady levels at different locations. An introduction to Fourier transform theory and windowing is provided along with specific analysis techniques and data interpretations. The frequency domain analyses discussed are power spectral density versus frequency, cumulative root-mean-square acceleration versus frequency, root-mean-square acceleration versus frequency, one-third octave band root-mean-square acceleration versus frequency, and power spectral density versus frequency versus time (spectrogram). Instructions for accessing NASA Lewis Research Center accelerometer data and related information using the internet are provided. Rogers, Melissa J. B. and Hrovat, Kenneth and McPherson, Kevin and Moskowitz, Milton E. and Reckart, Timothy Glenn Research Center RTOP 963-60-0D...
Author: National Aeronautics and Space Administration (NASA)
Publisher: Createspace Independent Publishing Platform
ISBN: 9781722041434
Category :
Languages : en
Pages : 46
Get Book
Book Description
The NASA Lewis Research Center's Principal Investigator Microgravity Services project analyzes Orbital Acceleration Research Experiment and Space Acceleration Measurement System data for principal investigators of microgravity experiments. Principal investigators need a thorough understanding of data analysis techniques so that they can request appropriate analyses to best interpret accelerometer data. Accelerometer data sampling and filtering is introduced along with the related topics of resolution and aliasing. Specific information about the Orbital Acceleration Research Experiment and Space Acceleration Measurement System data sampling and filtering is given. Time domain data analysis techniques are discussed and example environment interpretations are made using plots of acceleration versus time, interval average acceleration versus time, interval root-mean-square acceleration versus time, trimmean acceleration versus time, quasi-steady three dimensional histograms, and prediction of quasi-steady levels at different locations. An introduction to Fourier transform theory and windowing is provided along with specific analysis techniques and data interpretations. The frequency domain analyses discussed are power spectral density versus frequency, cumulative root-mean-square acceleration versus frequency, root-mean-square acceleration versus frequency, one-third octave band root-mean-square acceleration versus frequency, and power spectral density versus frequency versus time (spectrogram). Instructions for accessing NASA Lewis Research Center accelerometer data and related information using the internet are provided. Rogers, Melissa J. B. and Hrovat, Kenneth and McPherson, Kevin and Moskowitz, Milton E. and Reckart, Timothy Glenn Research Center RTOP 963-60-0D...
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 50
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Author: Nuno M. M. Maia
Publisher: John Wiley & Sons
ISBN: 1118770706
Category : Technology & Engineering
Languages : en
Pages : 596
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Book Description
World-class authors describe and illustrate how structural dynamics is applied to the engineering design process Structural Dynamics in Engineering Design covers the fundamentals of structural dynamics and its application to the engineering design process, providing all of the necessary information to implement an optimal design process. Each of its seven chapters is written by an expert in the field and provides the reader with the structural dynamic theoretical background and its more practical aspects for the implementation of an advanced design capability. The first three chapters are dedicated to the underlying theory of the three main processes: the fundamentals of vibration theory, the basis of experimental dynamics and the main numerical analysis tools (including reference to the finite element method). Having laid the foundation of the design philosophy, the following three chapters present the reader with the three disciplines of identification, nonlinear analysis and validation/updating. The final chapter presents some applications of the approach to real and complex engineering cases. Key features: Takes a multi-disciplinary approach and contains critical information on theory, testing and numerical analysis for structural dynamics. Includes a chapter on industrial applications (including aircraft design and ground vibration testing), which illustrates the design process and explains how structural dynamics is applied at different stages. The book is a must-have for researchers and practitioners in mechanical and aerospace engineering (in particular test engineers, CAE analysts and structural dynamicists), as well as graduate students in mechanical and aerospace engineering departments.
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Category : Government publications
Languages : en
Pages : 1076
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Category :
Languages : en
Pages : 18
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Category : Artificial satellites in earth sciences
Languages : en
Pages : 272
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Author: Yue Xu
Publisher:
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Category :
Languages : en
Pages : 125
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Advances in technology have resulted in the use of sensors in a great variety of applications ranging from weather forecasting, GPS tracking to physical activity measurement. Novel analytic techniques are being developed to study these densely sampled data. My research projects focus on approaches to analyze and model accelerometry data. Accelerometers measure minute-level human movement, and hence provide a rich framework for assessing physical activity patterns of an individual. Using accelerometer data collected in research studies in the School of Medicine at the University of California San Diego, our objectives are (a) to ascertain activity patterns incorporating temporal and subject-to-subject variation (b) to test if these patterns are associated with health outcomes such as obesity, cancer status, biomarkers and quality of life. We apply modern machine learning techniques and develop novel mathematical frameworks to analyze these big data. We anticipate that this work will provide statistical and computational tools to study accelerometry and inform societal guidelines on leading a healthy lifestyle.
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Category : Aeronautics
Languages : en
Pages : 704
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Category :
Languages : en
Pages : 424
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Category : Aeronautics
Languages : en
Pages : 666
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