Reliability Analysis of Total Systems Using Component Failure Data

1983 ◽  
Vol 105 (2) ◽  
pp. 217-221 ◽  
Author(s):  
P. J. Hartman ◽  
P. Luetjen ◽  
D. Mandel
Keyword(s):  
Erlang Distribution ◽  
Electronic Systems ◽  
Total System ◽  
Short Term ◽  
Critical System ◽  
Component Failure ◽  
Failure Data ◽  
Operating Rules ◽  
Super Computer ◽  
Reliability Block Diagrams

Assessment of total system reliability has been accomplished using component failure data in conjunction with system operating rules and sparing policies. This paper describes the computer simulation used by the Naval Sea Systems Command (NAVSEA) to predict the reliability and availability of each new Naval ship design. The computer program utilizes stochastic simulation to predict reliability, availability, and ordered lists of critical system components. This simulation is unique in that reliability block diagrams for the total system of 500 equipment can be readily translated into compact input coding. Assessment of total ship performance presently takes less than one minute using a vector super computer. This paper describes the methods used to predict long and short-term failures in such equipment as hydrofoil struts and highly complex electronic systems. Long and short-term failure data have been modeled using a Restricted Erlang Distribution for use in the simulation.

Total System Intervention for System Failure

2013 ◽  
pp. 193-213
Author(s):  
Takafumi Nakamura ◽  
Kyoich Kijima
Keyword(s):  
Information And Communication Technologies ◽  
Total System ◽  
System Failure ◽  
Critical System ◽  
System Failures ◽  
System Intervention ◽  
Actual Application ◽  
Preventative Measures ◽  
Subsequent Discussion ◽  
Total System Intervention

In this paper, total system intervention for system failure (TSI for SF) is proposed for preventing further occurrences of system failures. TSI is a critical system practice for managing complex and differing viewpoints. First, the authors introduce meta-methodology called “system of system failures” (SOSF) as a common language among various stakeholders to improve their understanding of system failures. The actual application scenario is proposed: “TSI for SF.” The SOSF and related methodologies are used in the course of the subsequent discussion and debate to agree on who is responsible for the failure and identify the preventative measures to be applied. An application example in information and communication technologies engineering demonstrates that using the proposed “TSI for SF” helps prevent future system failures by learning from previous system failures. Three actions are identified for preventing further system failures: closing the gap between the stakeholders, introducing absolute goals, and enlarging system boundary.

Optimized operating rules for short-term hydropower planning in a stochastic environment

2019 ◽  
Vol 16 (3) ◽  
pp. 501-519
Author(s):  
Alexia Marchand ◽  
Michel Gendreau ◽  
Marko Blais ◽  
Jonathan Guidi
Keyword(s):  
Stochastic Environment ◽  
Short Term ◽  
Operating Rules ◽  
Hydropower Planning

SYSTEM RELIABILITY GROWTH ANALYSIS USING COMPONENT FAILURE DATA

1994 ◽  
Vol 01 (01) ◽  
pp. 71-83 ◽  
Author(s):  
M. XIE ◽  
T.N. GOH
Keyword(s):  
System Reliability ◽  
Growth Analysis ◽  
Simple Approach ◽  
System Level ◽  
Reliability Growth ◽  
System Failure ◽  
Component Level ◽  
Component Failure ◽  
Failure Data ◽  
Growth Estimation

In this paper the problem of system-level reliability growth estimation using component-level failure data is studied. It is suggested that system failure data should be broken down into component, or subsystem, failure data when the above problems have occurred during the system testing phase. The proposed approach is especially useful when the system is not unchanged over the time, when some subsystems are improved more than others, or when the testing has been concentrated on different components at different time. These situations usually happen in practice and it may also be the case even if the system failure data is provided. Two sets of data are used to illustrate the simple approach; one is a set of component failure data for which all subsystems are available for testing at the same time and for the other set of data, the starting times are different for different subsystems.

A multiobjective approach to design for reliability

2001 ◽  
Vol 215 (3) ◽  
pp. 197-205 ◽  
Author(s):  
G Thompson ◽  
C Nilsson
Keyword(s):  
Multiobjective Optimization ◽  
Continuous Steel Casting ◽  
Product Performance ◽  
Total System ◽  
Component Failure ◽  
Design For Reliability ◽  
System Product ◽  
Multiobjective Approach ◽  
Reliable Solution

The objective of this paper is to present a multiobjective approach to design for reliability. A method is presented that integrates performance in all salient respects, from component failure to system/product performance, that have a direct bearing on whether or not the system/product will perform its required functions. The method can be used to improve the reliability of existing systems/products, to compare different systems/products or to perform a multiobjective optimization to yield the most reliable solution. This paper presents the principles of the method and a case study to illustrate how the method is applied. The case study concerns the analysis of a continuous steel casting mould and surrounding equipment and illustrates how process and equipment parameters can be integrated to investigate the reliability of the total system.

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