Paper Info
Title
A data-driven fuzzy approach for predicting the remaining useful life in dynamic failure scenarios of a nuclear system
Abstract
This paper presents a similarity-based approach for prognostics of the Remaining Useful Life (RUL) of a system, i.e. the lifetime remaining between the present and the instance when the system can no longer perform its function. Data from failure dynamic scenarios of the system are used to create a library of reference trajectory patterns to failure. Given a failure scenario developing in the system, the remaining time before failure is predicted by comparing by fuzzy similarity analysis its evolution data to the reference trajectory patterns and aggregating their times to failure in a weighted sum which accounts for their similarity to the developing pattern. The prediction on the failure time is dynamically updated as time goes by and measurements of signals representative of the system state are collected. The approach allows for the on-line estimation of the RUL. For illustration, a case study is considered regarding the estimation of RUL in failure scenarios of the Lead Bismuth Eutectic eXperimental Accelerator Driven System (LBE-XADS).
Year
DOI
Venue
2010
10.1016/j.ress.2009.08.001
Reliability Engineering & System Safety
Keywords
DocType
Volume
Prognostics,Residual useful life,Recovery time,Emergency accident management,Operator support system,Nuclear power plant,Lead Bismuth Eutectic eXperimental Accelerator Driven System (LBE-XADS),Pointwise fuzzy similarity analysis
Journal
95
Issue
ISSN
Citations 
1
0951-8320
19
PageRank 
References 
Authors
1.01
0
2
Name
Order
Citations
PageRank
Enrico Zio174257.86
Francesco Di Maio212414.20