Adaptive model training system and method

作者: Rahul M. Palnitkar , Randall L. Bickford , Vo Lee

DOI:

关键词:

摘要: An adaptive model training system and method for filtering asset operating data values acquired from a monitored selectively choosing that meet at least one predefined criterion of good quality while rejecting fail to the quality; recalibrating previously trained or calibrated having learned scope normal operation by utilizing adjusting defining recalibrated adjusted asset.

参考文章(64)
K. C. Gross, N. Zavaljevski, Support vector machines for nuclear reactor state estimation 2000 ANS International Topical Meeting on Advances in Reactor Physics and Mathematics and Computation into the Next Millennium, Pittsburgh, PA (US), 05/07/2000--05/11/2000. ,(2000)
R.W. King, J.P. Herzog, S. Wegerich, K.C. Gross, R.M. Singer, Model-based nuclear power plant monitoring and fault detection: Theoretical foundations ,(1997)
F. K. Bockhorst, S. W. Wegerich, J. P. Herzog, K. C. Gross, MSET modeling of Crystal River-3 venturi flow meters. 6th International Conference on Nuclear Engineering, San Diego, CA (US), 05/10/1998--05/15/1998. ,(1998)
Randall L. Bickford, James P. Herzog, Vector-Ordering Filter Procedure for Data Reduction ,(2003)
Randall L. Bickford, James P. Herzog, Automated Monitoring with a BSP Fault-Detection Test ,(2003)
Stephan W. Wegerich, Kenneth C. Gross, Jack E. Mott, Ralph M. Singer, Industrial process surveillance system ,(1997)
Stephan W. Wegerich, Kenneth C. Gross, Yong Yue, Ralph M. Singer, Alstine Rollin G. Van, Neuro-parity pattern recognition system and method ,(1999)