This thesis had the goals of standardizing and automating guidance data analysis at The Charles Stark Draper Laboratory, Inc. (Draper). This was accomplished via, the first ever machine understandable knowledge of Portable Engineering Testing Stations (PETS) variables located in a comprehensive MySQL database. Automation was achieved via a MATLAB program designed to be flexible for a wide variety of inputs and outputs. The standardization required time-consuming interface analysis and a tedious programming effort, but has proved to be successful and is already streamlining the data collection and analysis process for another program at Draper.
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机译:本文的目标是在Charles Stark Draper Laboratory,Inc.(Draper)上标准化和自动化指导数据分析。这是通过对全面的MySQL数据库中的便携式工程测试站(PETS)变量进行的第一个机器可理解的知识来完成的。自动化是通过MATLAB程序实现的,该程序设计为可灵活用于各种输入和输出。标准化需要耗时的界面分析和繁琐的编程工作,但事实证明是成功的,并且已经简化了Draper另一个程序的数据收集和分析过程。
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