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Homepage>IEEE Standards>27 ENERGY AND HEAT TRANSFER ENGINEERING>27.120 Nuclear energy engineering>27.120.20 Nuclear power plants. Safety>IEEE 500-1984 - IEEE Guide To The Collection And Presentation Of Electrical, Electronic, Sensing Component, And Mechanical Equipment Reliability Data for Nuclear-Power Generating Stations
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Released: 13.12.1983

IEEE 500-1984 - IEEE Guide To The Collection And Presentation Of Electrical, Electronic, Sensing Component, And Mechanical Equipment Reliability Data for Nuclear-Power Generating Stations

IEEE Guide To The Collection And Presentation Of Electrical, Electronic, Sensing Component, And Mechanical Equipment Reliability Data for Nuclear-Power Generating Stations

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238.43 EUR
Withdraw:09.12.1997
Standard number:IEEE 500-1984
Released:13.12.1983
ISBN:978-0-7381-4379-8
Pages:1424
Status:Inactive
Language:English
DESCRIPTION

IEEE 500-1984

This Guide applies to reliability data or electrical, electronic sensing component and mechanical equipment.

This guide is intended to establish one method of collecting and presenting reliability data for use in nuclear-power generating station reliability calculations as outlined in IEEE Std 352-1975, IEEE Guide for General Principles of Reliability analysis of Nuclear Power Generating station Protection Systems. The Data contained in Appendix D are intended for the use of either nuclear systems reliability analysts or design engineers. The data are normally used by design engineers in models developed by the analysts.

New IEEE Standard - Inactive-Withdrawn. A method of collecting and presenting reliability data for use in nuclear power generating station reliability calculations is established. It applies to reliability data for electric, electronic, sensing component, and mechanical equipment. The objectives of the calculations are: (1) to determine system adequacy; (2) to evaluate system design alternatives; (3) to evaluate, or contribute to, the development of system test intervals, maintenance programs, or operating procedures, or all three; and (4) to contribute to probabilistic risk-assessment studies.