Pylon: Towards an integrated customizable volume diagnosis infrastructure

Yan Pan, R. Desineni, Kannan Sekar, Atul Chittora, Sherwin Fernandes, Neerja Bawaskar, J. Carulli
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Abstract

This paper describes a volume diagnosis infrastructure built on open-source software, which addresses practical challenges in a foundry environment by integrating various data sources from design, manufacturing process and test to enable rapid root-cause identification.
Pylon:迈向集成的可定制卷诊断基础设施
本文描述了一个基于开源软件的批量诊断基础设施,该基础设施通过集成来自设计、制造过程和测试的各种数据源来解决铸造厂环境中的实际挑战,从而实现快速的根本原因识别。
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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