ARIES
Published June 18, 2018 | Version v1
Technical note Open

Bibliography and state of the art of reliability information systems

Creators

  • 1. AIT, Austrian Institute of Technology
  • 2. CERN / Tampere University of Technology
  • 3. CERN

Description

Reliability and availability have been identified as a key topic for cost and energy efficient
operations in research of industrially used particle accelerators and medical particle facilities.
The scope of this document is to reference documents of existing reliability information
systems in industries, lists of relevant standards and best-practices and a summary with an
assessment of those documents, which can be considered suitable for a reliability and
availability information system in a multi-national, collaborative technical research
infrastructure environment.

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Additional details

Funding

ARIES – Accelerator Research and Innovation for European Science and Society 730871
European Commission

References

  • International Organization for Standardization, Nuclear power plants - Reliability data exchange - General guidelines, International standard ISO 6527, 1982.
  • IEEE standards association, IEEE Guide To The Collection and Presentation of Electrical, Electronic, Sensing Component and Mechanical Equipment Reliability Data For Nuclear-Power Generating Stations, IEEE standard ANSI/IEEE 500-1984, 1992.
  • International Organization for Standardization, Petroleum, petrochemical and natural gas industries - Collection and exchange of reliability and maintenance data for equipment, International standard ISO 14224:2016, 2016.
  • Department of Defence, Reliability prediction of electronic equipment, Notice 2, Military handbook MIL-HDBK-217F, 1995.
  • M. Held and K. Fritz. Comparison and evaluation of newest failure rate prediction models: FIDES and RIAC 217Plus. Microelectron. Reliab, 49:967 – 971, 2009. https://doi.org/10.1016/j.microrel.2009.07.031.
  • OREDA participants, OREDA Offshore and onshore reliability data handbook, Volume 1, 6th edition, 2015.
  • Fraunhofer IWES, WInD-Pool Windenergie-Informations-Daten-Pool, 2016
  • T. Pinna et al, Fusion component failure rate database (FCFR-DB), Fusion Eng. Des, 81(8):1391 – 1395, 2006. https://doi.org/10.1016/j.fusengdes.2005.05.011.
  • T. Pinna & L.C. Cadwallader, Component failure rate data base for fusion applications, Fusion Eng. Des, 51-52:579 – 585, 2000. https://doi.org/10.1016/j.fusengdes.2005.05.011.