Online Prognosis of Stochastic Discrete Event Systems
- Feng-Jiao Lian, Shao-Long Shu
- Corresponding Author
- Feng-Jiao Lian
Available Online November 2016.
- https://doi.org/10.2991/ceis-16.2016.88How to use a DOI?
- stochastic automaton; online prognosis; prognostic probability; state estimation; Markov chain
- In this paper, we investigate how to calculate the probability of fault occurrence in the future based on the observations online. In a stochastic discrete event system framework, we first calculate the probability of fault occurrence for pre-fault event sequences which do not include fault events. Our idea is to attach label to each state in the stochastic automaton and convert it into a Markov chain. Based on the Markov chain, we determine the probability of fault occurrence by calculating the sum of probabilities of some states in the Morkov Chain. Second, for every pre-fault observable event sequence, we find all the possible pre-fault event sequences and the probability of their occurrences. Our idea is to update the current state estimate for the observable event sequence and then calculate the probability of every state based on the current state estimate which can be done with polynomial complexity. Combining these two results, the online prognosis problem is successfully solved.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Feng-Jiao Lian AU - Shao-Long Shu PY - 2016/11 DA - 2016/11 TI - Online Prognosis of Stochastic Discrete Event Systems BT - 2016 International Conference on Computer Engineering and Information Systems PB - Atlantis Press UR - https://doi.org/10.2991/ceis-16.2016.88 DO - https://doi.org/10.2991/ceis-16.2016.88 ID - Lian2016/11 ER -