Model Adaptation for Prognostics in a Particle Filtering Framework
One of the key motivating factors for using particle filters for prognostics is the ability to include model parameters as part of the state vector to be estimated. This performs model adaptation in conjunction with state tracking, and thus, produces a tuned model that can used for long term predict...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
The Prognostics and Health Management Society
2011-01-01
|
| Series: | International Journal of Prognostics and Health Management |
| Subjects: | |
| Online Access: | http://www.phmsociety.org/sites/phmsociety.org/files/phm_submission/2010/ijPHM_11_006.pdf |