Recursive filters for a partially observable system subject to random failure
By Daming Lin, V. Makis. Advances in Applied Probability, 2003
69 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Control and Systems Engineering, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/d305e89c893c196c650af5e3c7dbfad2ed9a470e
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
In Control and Systems Engineering
- Noureddine Zerhouni
- Kamal Medjaher
- Diego Alejandro Tobon-Mejia
- Donghua Zhou
- Changhua Hu
- Wenbin Wang
- Gerard Tripot
- Xiaosheng Si
In Statistics and Probability
- Donghua Zhou
- Changhua Hu
- Wenbin Wang
- Xiaosheng Si
- Bo Guo
- Xiaolin Wang
- Mohammad Hadigol
- Alireza Doostan
Citations in the corpus
- Remaining useful life estimation - A review on the statistical data driven approaches (2011, background): “However , in the work of Lin and Makis ( 2002 , 2003 ) , the discrete approxima - tions that result from choosing discrete state and observation pro - cesses to represent the continuous CM and state information may result in the loss of information provided in the original data .”
- A Data-Driven Failure Prognostics Method Based on Mixture of Gaussians Hidden Markov Models (2012, background): “This time is called RUL in some works, Estimated Time To Failure (ETTF) in [8], and in a small number of publications [9], [10] it is defined as a probability that a machine operates without a fault up to some future time.”