Implementing a Digital Twin, Design and Test, Test and Measurement Strategy

D. Lowenstein, C. Mueth
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引用次数: 3

Abstract

Accuracy, repeatability, and utilization are used continually when we talk about a test and measurement strategy. These fundamentals allow the balance between the technical and business imperatives that test contributes to a product or program's life cycle. From a design point of view, test is the de facto tool to ensure the theory of design meets the reality of the product or production specifications. In manufacturing, test is a balance between ensuring quality and cost. For support, test is about insight with simplicity of operation. All of these play an integral part of the success of a business, but to make this all happen, there is a fundamental assumption that the test and measurement strategy is implemented and operated as it was designed. The fact is, not all tests are created equal when looking across an enterprise and/or workflow. Not everyone develops a test strategy and simulates its effectiveness and efficiency on the product the same way. The idea of a digital twin strategy has been around for years in the mechanical world and is starting to gain traction in the electrical world to minimize the gap between theory and reality. These same principals now can be applied to the test and measurement world. Such a strategy can lead to greater accuracy, repeatability, and utilization of test strategy. It will also allow test or design changes to be made before designs are frozen for technical and/or performance reasons. This Design and Test (DaT) process would not only change the way design and test flows work, but how overall programs change the way they do business from concept through support. This paper will explore the history of digital twins and show how digital twins can and will change the way we develop and implement test strategies in the future. It will detail how the workflow throughout a product/program's life cycle will change to reduce time, resources, and cost while dramatically increasing predictability and repeatability, and ensuring consistency of test strategies. This paper ultimately will give a foundation for a blueprint to develop a test and measurement DaT/digital twin strategy, share examples of use cases today, and outline the business and technical benefits for implementing such a strategy.
实现数字孪生,设计与测试,测试与测量策略
当我们谈论测试和测量策略时,准确性、可重复性和利用率是经常被用到的。这些基础允许在技术和业务需求之间取得平衡,测试有助于产品或程序的生命周期。从设计的角度来看,测试是确保设计理论符合产品或生产规格的实际的工具。在制造业中,测试是确保质量和成本之间的平衡。对于支持,测试是关于操作简单的洞察力。所有这些都是业务成功的组成部分,但是要使这一切发生,有一个基本的假设,即测试和度量策略是按照设计的方式实现和操作的。事实是,在整个企业和/或工作流中,并不是所有的测试都是相同的。并不是每个人都以相同的方式开发测试策略并模拟其在产品上的有效性和效率。数字孪生策略的想法在机械领域已经存在多年,并开始在电气领域获得牵引力,以尽量减少理论与现实之间的差距。这些相同的原则现在可以应用到测试和测量领域。这样的策略可以提高测试策略的准确性、可重复性和利用率。它还允许在设计因技术和/或性能原因冻结之前进行测试或设计更改。这个设计和测试(DaT)过程不仅会改变设计和测试流程的工作方式,还会改变整个程序从概念到支持进行业务的方式。本文将探讨数字双胞胎的历史,并展示数字双胞胎如何能够并将改变我们未来开发和实施测试策略的方式。它将详细说明整个产品/程序生命周期中的工作流将如何改变,以减少时间、资源和成本,同时显著增加可预测性和可重复性,并确保测试策略的一致性。本文最终将为开发测试和测量数据/数字孪生策略的蓝图提供一个基础,分享今天的用例示例,并概述实现这种策略的业务和技术好处。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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