Failure Rate Data Analysis for High Technology Components

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Description

Understanding component reliability helps designers create more robust future designs and supports efficient and cost-effective operations of existing machines. The accelerator community can leverage the commonality of its high-vacuum and high-power systems with those of the magnetic fusion community to gain access to a larger database of reliability data. Reliability studies performed under the auspices of the International Energy Agency are the result of an international working group, which has generated a component failure rate database for fusion experiment components. The initial database work harvested published data and now analyzes operating experience data. This paper discusses the usefulness of reliability ... continued below

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Cadwallader, L. C. July 1, 2007.

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Description

Understanding component reliability helps designers create more robust future designs and supports efficient and cost-effective operations of existing machines. The accelerator community can leverage the commonality of its high-vacuum and high-power systems with those of the magnetic fusion community to gain access to a larger database of reliability data. Reliability studies performed under the auspices of the International Energy Agency are the result of an international working group, which has generated a component failure rate database for fusion experiment components. The initial database work harvested published data and now analyzes operating experience data. This paper discusses the usefulness of reliability data, describes the failure rate data collection and analysis effort, discusses reliability for components with scarce data, and points out some of the intersections between magnetic fusion experiments and accelerators.

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  • Eighth International Topical Meeting on Nuclear Applications and Utilization of Accelerators,Pocatello, Idaho,07/29/2007,08/02/2007

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  • Report No.: INL/CON-07-12265
  • Grant Number: DE-AC07-99ID-13727
  • Office of Scientific & Technical Information Report Number: 923504
  • Archival Resource Key: ark:/67531/metadc895818

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  • July 1, 2007

Added to The UNT Digital Library

  • Sept. 27, 2016, 1:39 a.m.

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  • Dec. 12, 2016, 7:53 p.m.

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Cadwallader, L. C. Failure Rate Data Analysis for High Technology Components, article, July 1, 2007; [Idaho Falls, Idaho]. (digital.library.unt.edu/ark:/67531/metadc895818/: accessed September 20, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.