基于多极效应的效应目录系统,用于系统识别潜在测量物

IF 1.8 Q3 ENGINEERING, MANUFACTURING
Design Science Pub Date : 2023-11-30 DOI:10.1017/dsj.2023.30
G. Vorwerk-Handing, P. Welzbacher, E. Kirchner
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引用次数: 0

摘要

摘要 随着机械工程领域数字化进程的不断推进,对技术系统的特征过程和状态变量信息的需求日益增长。然而,由于测量什么和如何测量往往并不明显,因此测量功能的集成,尤其是在改造方面,是机械工程领域当前面临的一项挑战。为了克服这一挑战,本文提供了一种系统识别潜在测量对象的方法。为此,我们采用了物理效应目录的方法,并从待确定的物理变量出发,系统地识别潜在的测量值。现有的目录系统在识别因果关系方面有两大局限:它们假定了要实现的效果,并且不考虑技术系统的设计参数。通过将现有目录系统的基本思想与基于多极建模的基本原理相结合,可以克服这些局限性。通过这种方式,基于多极的效应目录系统得以开发。它为系统地将待确定过程或状态变量的变化和转换纳入潜在测量值的识别奠定了基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A multipole-based effect catalog system for the systematic identification of potential measurands
Abstract Caused by the progressing digitalization in mechanical engineering, a significant demand for information about characteristic process and state variables of technical systems arises. However, since it is oftentimes neither obvious what nor how to measure, the integration of measuring functions, in particular in terms of a retrofit, represents a current challenge in mechanical engineering. In order to overcome this challenge, an approach for the systematic identification of potential measurands is provided in this contribution. For this purpose, the approach of physical effect catalogs is taken up and used for the systematic identification of potential measurands, starting from a physical variable to be determined. Existing catalog systems have two major limitations with respect to the intended identification of cause–effect relationships: They assume an effect to be realized and a consideration of design parameters of a technical system is not intended. These limitations are overcome by linking the fundamental idea of existing catalog systems with the basics of multipole-based modeling. In this way, a multipole-based effect catalog system is developed. It creates the foundation to systematically include the changes and transformations of a process or state variable to be determined into the identification of potential measurands.
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来源期刊
Design Science
Design Science ENGINEERING, MANUFACTURING-
CiteScore
4.80
自引率
12.50%
发文量
19
审稿时长
22 weeks
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