Residual-life distributions from component degradation signals: A Bayesian approach
Purdue University West Lafayette
Abstract
Real-time condition monitoring is becoming an important tool in maintenance decision-making. Condition monitoring is the process of collecting real-time sensor information from a functioning device in order to reason about the health of the device. To make effective use of condition information, it is useful to characterize a device degradation signal, a quantity computed from condition information that captures the current state of the device and provides information on how that condition is likely to evolve in the future. If properly modeled, the degradation signal can be used to compute a residual-life distribution for the device being monitored, which can then be used in decision models. In this work, we…
Citation impact
- FWCI
- 24.45
- Percentile
- 100%
- References
- 29
Authors
4Topics & keywords
- Residual
- Degradation (telecommunications)
- Condition-based maintenance
- Condition monitoring
- Computer science
- SIGNAL (programming language)
- Bayesian probability
- Process (computing)