论文标题
对数据科学及其在机械工程方面的方法的综述
A Review into Data Science and Its Approaches in Mechanical Engineering
论文作者
论文摘要
如今，不可避免地要使用智能系统来改善设备或工厂不同组件的性能和优化。此外，对于在企业，医学研究和工程研究等方面做出更好决策的适当预测是至关重要的。这些方法中最新，最广泛使用的方法之一是一个称为数据科学的领域，所有科学家，工程师和工厂都需要在其职业生涯中学习和使用。本文简要介绍了数据科学并审查了其方法，尤其是它在机械工程以及在机械工程中开发数据科学的方式方面的用法。在引言中，对数据科学及其技术背景的不同定义进行了回顾。在下文中，数据科学方法是数据科学家在其工作中需要做的过程。此外，回顾了在其研究中使用数据科学方法的机械工程领域的一些研究。最终，根据文章中审查的主题进行了讨论，为什么有必要在机械工程研究和项目中使用数据科学。
Nowadays it is inevitable to use intelligent systems to improve the performance and optimization of different components of devices or factories. Furthermore, it's so essential to have appropriate predictions to make better decisions in businesses, medical studies, and engineering studies, etc. One of the newest and most widely used of these methods is a field called Data Science that all of the scientists, engineers, and factories need to learn and use in their careers. This article briefly introduced data science and reviewed its methods, especially it's usages in mechanical engineering and challenges and ways of developing data science in mechanical engineering. In the introduction, different definitions of data science and its background in technology reviewed. In the following, data science methodology which is the process that a data scientist needs to do in its works been discussed. Further, some researches in the mechanical engineering area that used data science methods in their studies, are reviewed. Eventually, it has been discussed according to the subjects that have been reviewed in the article, why it is necessary to use data science in mechanical engineering researches and projects.
