@inproceedings{ec00b09fa2d44bbe85c43183085c4c6d,
title = "Bayesian fault identification of multistage processes",
abstract = "Multistage process fault identification have received much attention recently. In this article, we focus on identifying faults in multistage processes that affect the process mean vector. The new method utilizes Bayesian theory and evaluates the posterior probability of each possible fault scenarios. The scenario associated with the largest posterior probability is identified. Numerical analysis proves that the new method has satisfactory diagnosis power and accuracy.",
keywords = "Bayesian theory, Fault diagnosis, Multistage processes, State space model",
author = "Yanting Li and Fugee Tsung and Lifeng Xi",
year = "2009",
doi = "10.1109/IEEM.2009.5373035",
language = "English",
isbn = "9781424448708",
series = "IEEM 2009 - IEEE International Conference on Industrial Engineering and Engineering Management",
pages = "1357--1361",
booktitle = "IEEM 2009 - IEEE International Conference on Industrial Engineering and Engineering Management",
note = "IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2009 ; Conference date: 08-12-2009 Through 11-12-2009",
}