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相关概念视频

Data Collection by Survey01:07

Data Collection by Survey

6.4K
The systematic method of obtaining and analyzing accurate information of a population is called data collection. A survey is a standard method of data collection that involves collecting information from a target human population about their experience, opinion, or knowledge of a product, service, or process. The responses are recorded and interpreted. The most common survey examples are written questionnaires, face-to-face or telephonic conversations, focus groups, and electronic (e-mail or...
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Statgraphics01:10

Statgraphics

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Statgraphics is a comprehensive statistical software suite designed for both basic and advanced data analysis. Originating in 1980 at Princeton University under Dr. Neil W. Polhemus, it was one of the pioneering tools for statistical computing on personal computers, with its public release in 1982 marking an early milestone in data science software. Over the years, it has evolved into a robust platform for data science, offering tools for regression analysis, ANOVA, multivariate statistics,...
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Overview of Minitab01:11

Overview of Minitab

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Minitab is a statistical software package designed for data analysis. With its origins in the 1970s and development at Pennsylvania State University, Minitab has grown significantly in its capabilities and applications. It plays a crucial role in quality management projects, especially in Six Sigma initiatives, by offering tools for process improvement and statistical analysis. Minitab's significance lies in its user-friendly interface, making complex statistical analysis accessible to...
103
Run Charts01:12

Run Charts

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Run charts serve as an essential instrument for visualizing the performance of various processes over time, enabling the identification of trends and patterns crucial for quality improvement. These charts map out a series of data points chronologically, offering insights into the stability and efficiency of a process. A run chart's creation involves plotting data points on a graph, with the time intervals on the horizontal axis and the specific measurements on the vertical axis. For...
46
Overview of Microsoft Excel as a Data Analysis Tool01:13

Overview of Microsoft Excel as a Data Analysis Tool

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Microsoft Excel is a cornerstone tool for data analysis and statistical operations, offering a wide array of functionalities to manage, analyze, and visualize data efficiently. Recognized for its versatility, Excel facilitates the performance of basic to complex statistical operations, serving as an indispensable asset for analysts, researchers, and students alike. Excel's significance in data analysis emanates from its spreadsheet environment, where data can be organized in rows and...
413
Manipulation and Analysis01:21

Manipulation and Analysis

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GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...
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相关实验视频

Updated: Jun 9, 2025

Data Communication Based on MQTT in a Polymer Extrusion Process
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一项关于制造业知识转移的调查数据分析.

Seung Hwan Bang1,2, Ronay Ak1, Anantha Narayanan3

  • 1Systems Integration Division, Engineering Laboratory, National Institute of Standards and Technology (NIST), Gaithersburg, MD, 20899, USA.

Computers in industry
|October 23, 2024
PubMed
概括
此摘要是机器生成的。

制造业数据分析模型随着时间的推移因非静止环境而退化. 知识转移 (KT) 方法可以使模型适应新的条件,保持准确性并减少再培训需求.

关键词:
数据分析数据分析.知识转移知识转移.制造业 制造业 制造业 制造业非静态的环境 不静态的环境

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科学领域:

  • 制造业数据分析数据分析
  • 机器学习操作 (MLOps)

背景情况:

  • 数据分析模型假设静态环境,这在制造业中往往是错误的.
  • 在非静止制造环境中,模型准确性随着时间的推移而降低,需要定期重新培训.

研究的目的:

  • 调查适用于制造数据分析的知识转移 (KT) 方法.
  • 调查 KT 适用于将模型适应非静止制造环境的适应性.
  • 为在制造业中选择适当的KT方法提供一个机制.

主要方法:

  • 在各种应用中调查现有的知识转移方法.
  • 分析基于非静态环境类型,数据可用性和知识来源的知识技术方法.
  • 在制造业中对非静止性的原因进行分类.
  • 为从业者开发一个三步机制 (变化检测,源-目标定义,方法选择).

主要成果:

  • 识别和分析各种知识转移方法.
  • 分类制造特定的非静止事件.
  • 提出了一种实用机制,以指导选择用于制造数据分析的知识技术方法.

结论:

  • 知识转移是一种可行的方法,可以减轻制造数据分析中的准确性退化.
  • 拟议的机制支持从业者选择适合他们的特定制造挑战的KT方法.
  • 这项工作有助于在制造业的研究和实践中采用知识转移.