Journal of Engineering and Applied Sciences

Year: 2019
Volume: 14
Issue: 11
Page No. 3506 - 3513

Advisory System for Operators of Complex Industrial Processes Extended by Diagnostic Functions

Authors : Ivan Puchr and Pavel Herout

References

Ettler, P., I. Puchr and K. Dedecius, 2013. Bayesian model mixing for cold rolling mills: Test results. Proceedings of the 2013 International Conference on Process Control (PC), June 18-21 2013, IEEE, Strbske Pleso, Slovakia, ISBN:978-1-4799-0926-1, pp: 359-364.

Ettler, P., K. Dedecius, L. Pavelkova, D. Juricic and P. Boskoski et al., 2015. From building blocks to the embedded condition monitoring system. IFAC. PapersOnLine, 48: 135-140.
Direct Link  |  

Gut, A., 2009. An Intermediate Course in Probability. 2nd Edn., Springer, Berlin, Germany, ISBN:978-1-4419-0161-3, Pages: 302.

Karny, M., 2006. Optimized Bayesian Dynamic Advising: Theory and Algorithms. Springer, Berlin, Germany, Pages: 523.

Kullback, S. and R.A. Leibler, 1951. On information and sufficiency. Ann. Math. Stat., 22: 79-86.
Direct Link  |  

Puchr, I. and P. Herout, 2011. Signal Pre-processing subsystem for the purpose of industrial control. Proceedings of the 8th International Conference on Informatics in Control, Automation and Robotics ICINCO, July 22, 2011, ICINCO, Noordwijkerhout, Netherlands, pp: 415-418.

Puchr, I. and P. Herout, 2017. Probabilistic advisory system for operators can help with diagnostics of rolling mills. Proceedings of the 2017 21st International Conference on Process Control (PC), June 6-9, 2017, IEEE, Strbske Pleso, Slovakia, ISBN:978-1-5386-4011-1, pp: 132-136.

Design and power by Medwell Web Development Team. © Medwell Publishing 2024 All Rights Reserved