Abstract
This paper proposes an approach for estimation of
Remaining Useful Life (RUL), in which data from earlier
lifetimes is utilized in the identification of the
functional shape of degradation. A set of candidate shape
functions are identified, and one of them is selected for
RUL estimation, and consequently for inference, based on
information theory. The feasibility of the approach is
studied using functional forms of degradation acquired
through air filter loading experiments and air quality
measurements representing degrading factors. The study
indicates the usefulness of utilizing data from previous
lifetimes when reliable enough a priori information of
the degradation phenomena is not available. The observed
improvement in accuracy was considerable at long
prediction horizons, which is beneficial especially in
Condition-Based Maintenance applications (not limited to
air filters) with infrequent maintenance shutdowns.
Original language | English |
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Title of host publication | Structural Health Monitoring 2013 |
Subtitle of host publication | a roadmap to intelligent structures |
Editors | Fu-Kuo Chang |
Place of Publication | Lancaster |
Publisher | DEStech Publications Inc. |
Pages | 791-798 |
Volume | 1 |
ISBN (Electronic) | 978-1-5231-0105-4 |
ISBN (Print) | 978-1-60595-115-7 |
Publication status | Published - 2013 |
MoE publication type | A4 Article in a conference publication |
Event | 9th International Workshop on Structural Health Monitoring, IWSHM 2013 - Stanford, CA, United States Duration: 10 Sept 2013 → 12 Sept 2013 |
Conference
Conference | 9th International Workshop on Structural Health Monitoring, IWSHM 2013 |
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Abbreviated title | IWSHM 2013 |
Country/Territory | United States |
City | Stanford, CA |
Period | 10/09/13 → 12/09/13 |
Keywords
- remaining useful life
- maintenance
- ari filters