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Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering
Robust Multichannel Functional-Data-Analysis Methods For Data Recovery In Complex Systems, Jian Sun
Robust Multichannel Functional-Data-Analysis Methods For Data Recovery In Complex Systems, Jian Sun
Doctoral Dissertations
In recent years, Condition Monitoring (CM), which can be performed via several sensor channels, has been recognized as an effective paradigm for failure prevention of operational equipment or processes. However, the complexity caused by asynchronous data collection with different and/or time-varying sampling/transmission rates has long been a hindrance in the effective use of multichannel data in constructing empirical models. The problem becomes more challenging when sensor readings are incomplete. Traditional sensor data recovery techniques are often prohibited in asynchronous CM environments, not to mention sparse datasets. The proposed Functional Principal Component Analysis (FPCA) methodologies, e.g., nonparametric FPC model and semi-parametric …
Development, Deployment, And Characterization Of A Ku-Band Interferometer, Anthony Swochak
Development, Deployment, And Characterization Of A Ku-Band Interferometer, Anthony Swochak
Masters Theses 1911 - February 2014
Space-borne radar interferometry provides a global vantage point to understand climate change, global weather phenomenon, and other Earth dynamics. For climate change observations, space-borne interferometers can be utilized to relate ocean topography to temperature, thus providing a global map of ocean temperatures. Since the oceans are in constant motion, a single-pass interferometer is needed to successfully make these measurements of ocean height. The feasibility of a single-pass measurement is dependent on the physical size of the instrument, hence it is cheaper and more practical to launch a small, light weight instrument into space. Since instrument size scales inversely with operating …