An application on Alarm Root Cause Tracking system(ACTs)
In this paper, an operator-aid system is proposed for tracking the logics of alarm, finding out the causes of alarm, displaying the highlighted alarm procedure related to the causes, and suppressing and filtering nuisance alarms due to the physical or logical connections between components or systems in abnormal state. The system can be used for operator to identify the detail causes of an alarm without checking all of causes of candidates by alarms. The proposed system will apply to nuclear power plant on CANDU type, Wolsong 3&4 Nuclear Power Plant.
Computerized systems for on-line management of failures: a state-of-the-art discussion of alarm systems and diagnostic systems applied in the nuclear industry
Abstract It is now well perceived in the nuclear industry that improving plant information systems is vital for enhancing the operational safety of nuclear power plants. Considerable work is underway worldwide to support operators' decision-making, particularly in their difficult tasks of managing process anomalies on-line. The work includes development of (1) advanced alarm systems, such as various kinds of computer-based alarm processing systems, Critical Function Monitoring System, Success Path Monitoring System and Safety Assessment System II, and (2) real-timer diagnostic systems, such as Disturbance Analysis System, Maryland Operator Advisory System II, Model-Integrated Diagnostic Analysis System, Diagnosis System using Knowledge Engineering Technique, Detailed Diagnosis, and Operator Advisor System. This paper presents a state-of-the-art review of plant information systems for on-line management of failures in nuclear power plants, focusing on the methodological features of computerized alarm systems and diagnostic systems.
Monte Carlo properties of spatial dependence LM tests
This paper compares the power and size of both spatial one-directional and robust to local misspecification LM test using Monte Carlo techniques under different set ups. Confirming the results found in Anselin et al . (1996), under local misspecification the robust LM test improves its size and power of tests. However, under no misspecification, the robust LM test is severely penalized and the usual one-directional LM test has a much better performance.