Global and initiative safety mechanism in industrial control system Online publication date: Sat, 24-May-2014
by Xinguo Xu; Wei Kang; Zhiqi Fang; Baohui Sun; Yan Wang; Tingshao Zhu
International Journal of Computational Science and Engineering (IJCSE), Vol. 9, No. 1/2, 2014
Abstract: With the development of information technology and industrial automation, industrial control systems have become increasingly complicated which increases the difficulty to detect running errors. Errors usually lead to industry incidences, which in turn threaten civil property and even national economy. In this paper, we propose a novel safety mechanism based on data mining. Complex network analysis, data prediction, expert analysis and self-adaptive downgrade and upgrade techniques are also applied to solve safety problems in industrial control systems. To protect industrial control system, we define a safety protection status. The system can be switched into protection status by specific operations, which finally transfer the system back to safe status. Using data mining techniques, we propose a general safety mechanism which has four operations, including global safety, initiative safety, real-time safety, and self safety.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Computational Science and Engineering (IJCSE):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook