scholarly journals Investigation of component failure rates for pulsed versus steady state tokamak operation

1992 ◽  
Author(s):  
L.C. Cadwallader
Keyword(s):  
Steady State ◽  
Failure Rates ◽  
Component Failure ◽  
Component Failure Rates

Statistical Forecasting of Trends in Tubular Pressure Part Forced Outage Rates for Fossil Boilers

1988 ◽  
Vol 110 (1) ◽  
pp. 91-96
Author(s):  
R. H. V. Gallucci ◽  
D. S. Moelling ◽  
K. P. Talbot
Keyword(s):  
Statistical Models ◽  
Failure Rates ◽  
Component Failure ◽  
Statistical Forecasting ◽  
Analytic Procedure ◽  
Dependent Component ◽  
Age Dependent ◽  
Component Failure Rates ◽  
Pressure Part

Statistical models for calculating age-dependent component failure rates and system unavailabilities have been combined into a flexible procedure to forecast trends in tubular pressure part forced outage rates for fossil boilers as a function of their ages. These models have been computerized, and the forecasting procedure has been applied to predicting trends at six fossil units of a specific utility. The analytic procedure is described, and its application to the example study is discussed.

Analysis of Feeder Service Reliability Using Component Failure Rates

1987 ◽  
Vol PER-7 (10) ◽  
pp. 69-69
Author(s):  
Saul Goldberg ◽  
William F. Horton ◽  
Virgil G. Rose
Keyword(s):  
Service Reliability ◽  
Failure Rates ◽  
Component Failure ◽  
Component Failure Rates

scholarly journals Maximization of availability of 1-out-of-2:G repairable dependent system

1989 ◽  
Vol 21 (03) ◽  
pp. 717-720
Author(s):  
B. H. Joshi ◽  
A. D. Dharmadhikari
Keyword(s):  
Stochastic Process ◽  
Steady State ◽  
Lower Bound ◽  
Upper Bounds ◽  
The Other ◽  
Expected Number ◽  
Component Failure ◽  
Component System ◽  
Component Failure Rates ◽  
Repair Facility

The IFR property of the stochastic process governing a one-component system supported by an inactive standby and a repair facility when the lifetime of one component and the repair time of the other component are dependent, is established. We solve the problem of selecting repair rates to maximize the steady-state availability for given component failure rates when a lower bound for the MTBF and upper bounds for the steady-state expected number of repairs of the components per unit time and expected number of failures of the system per unit time are given.

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