Title :
System performance, degradation, and reliability assessment
Author :
Ke, W. ; Ren, C. ; Jin, K. ; Lu, H.
Author_Institution :
South Dakota State Univ., Brookings
Abstract :
Degradation test and analysis provide the information to assess the reliability of a system. On-line degradation monitoring can be adopted for real-time system performance reliability or survival prediction. This paper discusses the concepts of system performance, degradation, and system performance reliability assessment. The off-line degradation data analysis for estimating time-to-failure distributions with asymptotic variances, and the on-line performance degradation for reliability assessment and prediction with time series are reviewed and discussed. The off-line method is useful to the estimation of time-to-failure distributions for those components with extremely high reliability, whereas the on-line method can be applied to those systems in which degradation may result in a sudden catastrophic system failure. The statistical methods in the two situations are discussed.
Keywords :
software performance evaluation; software reliability; statistical analysis; system monitoring; system recovery; systems analysis; catastrophic system failure; offline degradation data analysis; online degradation monitoring; real-time system performance reliability; statistical methods; survival prediction; system degradation assessment; system reliability assessment; time-to-failure distributions; Data analysis; Degradation; Industrial engineering; Life testing; Manufacturing; Mathematics; Reliability engineering; Statistical analysis; System performance; System testing; Degradation; asymptotic variances; reliability assessment; reliability modeling;
Conference_Titel :
Industrial Engineering and Engineering Management, 2007 IEEE International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-1529-8
Electronic_ISBN :
978-1-4244-1529-8
DOI :
10.1109/IEEM.2007.4419385