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Evaluation of Open Source Tools and Development Platforms for Data Analysis in Engine Development

机译：发动机开发中数据分析的开源工具和开发平台评估

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摘要

Typical software that is used for engine test result analysis include spreadsheet (MS Excel) and statistical software (Minitab, MS Excel), data modelling applications (MS Excel, Matlab), and post processing tools for plots, tables etc. Open source software has come a long way since its inception, and is now at a stage where it can provide a suitable alternative to many commercial software packages for data analysis. The paper will describe the areas of concern and the inherent benefits to using open source software. It evaluates the feasibility of incorporating these open source tools into data analysis packages for Engine Development by breaking down the process of data analysis into specific software requirements and then evaluating each of the open-source alternatives against these requirements. The paper will conclude by describing a practical strategy when converting an existing data analysis process over to its open-source equivalent.
机译：用于发动机测试结果分析的典型软件包括电子表格（MS Excel）和统计软件（MINITAB，MS Excel），数据建模应用程序（MS Excel，Matlab）和地图，表等开源软件的后处理工具具有自成立以来一直很长的路，现在处于一个阶段，它可以为许多商业软件包提供适合数据分析的替代方案。本文将描述使用开源软件的关注领域和固有的益处。它通过将数据分析过程分解为特定的软件要求，从而评估将这些开源工具结合到发动机开发的数据分析包中的可行性，然后评估每个开源替代方法，从而评估这些要求的每个开源替代方案。本文将通过描述将现有数据分析过程转换为其开源等价物时的实际策略来得出结论。

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