Methodologies for system-level remaining useful life prediction
- 1 October 2016
- journal article
- Published by Elsevier BV in Reliability Engineering & System Safety
- Vol. 154, 8-18
- https://doi.org/10.1016/j.ress.2016.05.006
Abstract
No abstract availableThis publication has 25 references indexed in Scilit:
- Particle filter based hybrid prognostics for health monitoring of uncertain systems in bond graph frameworkMechanical Systems and Signal Processing, 2016
- Degradations analysis and aging modeling for health assessment and prognostics of PEMFCReliability Engineering & System Safety, 2016
- A value-based preventive maintenance policy for multi-component system with continuously degrading componentsReliability Engineering & System Safety, 2014
- Distributed Prognostics Based on Structural Model DecompositionIEEE Transactions on Reliability, 2014
- Reliability Analysis for Multi-Component Systems Subject to Multiple Dependent Competing Failure ProcessesIEEE Transactions on Reliability, 2014
- Remaining useful life estimation – A review on the statistical data driven approachesEuropean Journal of Operational Research, 2011
- Prognostic modelling options for remaining useful life estimation by industryMechanical Systems and Signal Processing, 2010
- A review on machinery diagnostics and prognostics implementing condition-based maintenanceMechanical Systems and Signal Processing, 2006
- Gear fatigue crack prognosis using embedded model, gear dynamic model and fracture mechanicsMechanical Systems and Signal Processing, 2005
- Bayesian statistical inference for psychological research.Psychological Review, 1963