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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/advanced-manufacturing-process-analysis
课程评论:没有评论
课程名称:高级制造过程分析 概述:在制造环境中,变异是一个不可避免的现实,影响产品质量和产量。通过本课程,学生将学习为何对制造过程进行高级分析对于诊断和纠正操作缺陷至关重要,以便提高产量和降低成本。课程将深入探讨最佳的数据收集、准备和分析方法,以及可用于长时间收集和处理数据的计算平台。学员将更好地准备成为高级分析团队的成员,并就有效实施提供有价值的见解。 本课程的主要概念将通过讲座、阅读、讨论和各种视频进行传达。 这是数字制造与设计技术专业化的第四门课程,探讨制造业“第四次革命”(即工业4.0)的多个方面,并包含一个关于创建达成自设数字制造相关职业目标的路线图的最终项目。欲了解更多关于数字制造与设计技术专业化的信息,请复制并粘贴以下链接到您的网络浏览器中观看概述视频:https://youtu.be/wETK1O9c-CA 课程大纲: 1. 模块名称:高级制造过程分析简介 描述:本模块旨在介绍先进分析在改善制造过程中的概念。同时,帮助您理解离散制造与连续制造之间的区别。 2. 模块名称:数据收集 描述:存储大数据与处理传统数据的方式相差甚远。本模块解释了这一差异,并介绍数据分析的各个步骤,包括数据收集、数据存储、数据组织和数据预处理的概念。 3. 模块名称:数据分析:计算技术与平台 描述:本模块介绍了用于高级分析的各种技术,如显著变量/因素的确定、数据可视化和异常检测。此外,该模块还将介绍现有的各种计算平台(高性能计算、云计算技术),用于进行高级分析。
Name:Introduction to Advanced Manufacturing Process Analysis
Description:The purpose of this module is to introduce the concept of advanced analysis in improvement of manufacturing processes. Also, this module will help you to understand the difference between discrete manufacturing and continuous manufacturing.
Name:Data Collection
Description:Storing big data is quite different from handling traditional data. This difference is explained in this module. The purpose of this module is to introduce various steps involved in data analysis. Data Collection, Data Storage, Data Organization and Data Pre-processing concepts are explained.
Name:Data Analysis: Computational Techniques and Platforms
Description:The purpose of this module is to introduce various techniques used in advanced analysis, like Determination of Significant Variables/Factors, Data Visualization, and Anomaly Detection. Also, this module will introduce various computational platforms (HPC, Cloud computing techniques) that exist for carrying out advanced analysis.
Variability is a fact of life in manufacturing environments, impacting product quality and yield. Through this course, students will learn why performing advanced analysis of manufacturing processes is integral for diagnosing and correcting operational flaws in order to improve yields and reduce costs. Gain insights into the best ways to collect, prepare and analyze data, as well as computational platforms that can be leveraged to collect and process data over sustained periods of time. Become better prepared to participate as a member of an advanced analysis team and share valuable inputs on effective implementation. Main concepts of this course will be delivered through lectures, readings, discussions and various videos. This is the fourth course in the Digital Manufacturing & Design Technology specialization that explores the many facets of manufacturing’s “Fourth Revolution,” aka Industry 4.0, and features a culminating project involving creation of a roadmap to achieve a self-established DMD-related professional goal. To learn more about the Digital Manufacturing and Design Technology specialization, please watch the overview video by copying and pasting the following link into your web browser: https://youtu.be/wETK1O9c-CA