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Prediction of dynamic expected time to system failure

Abstract

The mean time to failure (MTTF) expressing the mean value of the system life is a measure of system effectiveness. To estimate the remaining life of component and/or system, the dynamic mean time to failure concept is suggested. It is the time-dependent property depending on the status of components. The Kalman filter is used to estimate the reliability of components using the on-line information (directly measured sensor output or device-specific diagnostics in the intelligent sensor) in form of the numerical value (state factor). This factor considers the persistency of the fault condition and confidence level in measurement. If there is a complex system with many components, each calculated reliability`s of components are combined, which results in the dynamic MTTF of system. The illustrative examples are discussed. The results show that the dynamic MTTF can well express the component and system failure behaviour whether any kinds of failure are occurred or not. 9 refs., 6 figs. (Author)
Authors:
Oh, Deog Yeon; Lee, Chong Chul [1] 
  1. Korea Nuclear Fuel Co., Ltd., Taejon (Korea, Republic of)
Publication Date:
Dec 31, 1997
Product Type:
Conference
Report Number:
ETDE/KR-99732628; CONF-9710296-
Reference Number:
SCA: 420200; 426000; PA: KR-99:000292; EDB-99:037372; SN: 99002059919
Resource Relation:
Conference: Korean Nuclear Society autumn meeting, Taegu (Korea, Republic of), 24-25 Oct 1997; Other Information: PBD: 1997; Related Information: Is Part Of Proceedings of the korean nuclear society autumn meeting vol I, October 24-25, 1997 Taegu, Korea; PB: 797 p.
Subject:
42 ENGINEERING NOT INCLUDED IN OTHER CATEGORIES; SYSTEM FAILURE ANALYSIS; LIFETIME; RELIABILITY; FAILURES; SYSTEMS ANALYSIS; FORECASTING
OSTI ID:
324106
Research Organizations:
Korean Nuclear Society, Taejon (Korea, Republic of)
Country of Origin:
Korea, Republic of
Language:
English
Other Identifying Numbers:
Other: ON: DE99732628; TRN: KR9900292
Availability:
OSTI as DE99732628
Submitting Site:
KR
Size:
pp. 244-250
Announcement Date:
Apr 01, 1999

Citation Formats

Oh, Deog Yeon, and Lee, Chong Chul. Prediction of dynamic expected time to system failure. Korea, Republic of: N. p., 1997. Web.
Oh, Deog Yeon, & Lee, Chong Chul. Prediction of dynamic expected time to system failure. Korea, Republic of.
Oh, Deog Yeon, and Lee, Chong Chul. 1997. "Prediction of dynamic expected time to system failure." Korea, Republic of.
@misc{etde_324106,
title = {Prediction of dynamic expected time to system failure}
author = {Oh, Deog Yeon, and Lee, Chong Chul}
abstractNote = {The mean time to failure (MTTF) expressing the mean value of the system life is a measure of system effectiveness. To estimate the remaining life of component and/or system, the dynamic mean time to failure concept is suggested. It is the time-dependent property depending on the status of components. The Kalman filter is used to estimate the reliability of components using the on-line information (directly measured sensor output or device-specific diagnostics in the intelligent sensor) in form of the numerical value (state factor). This factor considers the persistency of the fault condition and confidence level in measurement. If there is a complex system with many components, each calculated reliability`s of components are combined, which results in the dynamic MTTF of system. The illustrative examples are discussed. The results show that the dynamic MTTF can well express the component and system failure behaviour whether any kinds of failure are occurred or not. 9 refs., 6 figs. (Author)}
place = {Korea, Republic of}
year = {1997}
month = {Dec}
}