A Production-Rule Analysis System for Nuclear Plant Monitoring and Emergency Response Applications

1988 ◽  
pp. 231-238
Author(s):  
Magdi Ragheb ◽  
Lefteri Tsoukalas ◽  
Timothy McDonough ◽  
Michael Parker
Keyword(s):  
Emergency Response ◽  
Nuclear Plant ◽  
Production Rule ◽  
Plant Monitoring ◽  
Rule Analysis ◽  
Analysis System

Data Filtration and Distributed Computer Architecture for Expert Systems

1991 ◽  
Author(s):  
Stephen A. Trovato ◽  
Robert A. Touchton
Keyword(s):  
Expert System ◽  
Power Plant ◽  
Computer Architecture ◽  
Nuclear Plant ◽  
Verification And Validation ◽  
Sensor Data ◽  
Emergency Situations ◽  
Plant Monitoring ◽  
Indian Point

Abstract The timely recognition and accurate classification of emergency situations is an important task for nuclear plant operators. The Reactor Emergency Action Level Monitor (REALM) expert system was developed to provide advice to operators during emergency situations. A technique for filtering plant sensor data was developed for REALM and is broadly applicable to power plant monitoring tasks. Innovative computer architecture and verification and validation methods were developed during a research program to implement REALM at Con Edison’s Indian Point 2 nuclear plant.

scholarly journals A Radar Wind Analysis System for Nowcast Applications

2015 ◽  
Vol 2015 ◽  
pp. 1-13 ◽  
Author(s):  
Qin Xu ◽  
Li Wei ◽  
Kang Nai ◽  
Shun Liu ◽  
Robert M. Rabin ◽  
...  
Keyword(s):  
Real Time ◽  
Emergency Response ◽  
Dispersion Models ◽  
Background Error ◽  
Wind Analysis ◽  
Method Of Solution ◽  
Velocity Images ◽  
Analysis System ◽  
Vector Wind ◽  
Vertical Level

A radar wind analysis system (RWAS) has been developed for nowcast applications. By ingesting real-time wind observations from operational WSR-88D radars and surface mesonet, this system can produce and display real-time vector winds at each selected vertical level or on each conical surface of radar scans superimposed on radar reflectivity or radial-velocity images. An early version of the system has been evaluated and used to provide real-time winds to drive high-resolution emergency response dispersion models. This paper presents the detailed formulations of background error correlation functions used in each of the three steps of vector wind analysis performed in the RWAS and the method of solution used in each step of vector wind analysis. The performances of the RWAS are demonstrated by illustrative examples.

Advanced Nuclear Plant Monitoring Systems

1980 ◽  
Vol 27 (1) ◽  
pp. 871-877
Author(s):  
J. W. Hallam ◽  
O. A. Thompson
Keyword(s):  
Nuclear Plant ◽  
Monitoring Systems ◽  
Plant Monitoring

scholarly journals POS Data Analysis System based on Association Rule Analysis

2012 ◽  
Vol 17 (5) ◽  
pp. 9-17
Author(s):  
Kyung-Chan Ahn ◽  
Chang Bae Moon ◽  
Byeong Man Kim ◽  
Yoon Sik Shin ◽  
HyunSoo Kim
Keyword(s):  
Data Analysis ◽  
Association Rule ◽  
Pos Data ◽  
Rule Analysis ◽  
Analysis System ◽  
Data Analysis System

On-Line Model-Based System For Nuclear Plant Monitoring

1989 ◽  
Author(s):  
L. Tsoukalas ◽  
G. W. Lee ◽  
M. Ragheb ◽  
T. McDonough ◽  
F. Nizioleki ◽  
...  
Keyword(s):  
Nuclear Plant ◽  
Line Model ◽  
Model Based ◽  
On Line ◽  
Plant Monitoring
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