Pylon: Towards an integrated customizable volume diagnosis infrastructure
| Autor: | Atul Chittora, John Carulli, Yan Pan, Sherwin Fernandes, Rao Desineni, Neerja Bawaskar, Kannan Sekar |
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| Rok vydání: | 2016 |
| Předmět: |
Engineering
Engineering drawing business.industry Manufacturing process Volume (computing) 02 engineering and technology 01 natural sciences 020202 computer hardware & architecture 010309 optics Identification (information) Software 0103 physical sciences 0202 electrical engineering electronic engineering information engineering Systems engineering Pylon business |
| Zdroj: | ITC |
| DOI: | 10.1109/test.2016.7805872 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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