Fault Detection and Isolation in a Nuclear Reactor

1983 ◽  
Vol 7 (1) ◽  
pp. 79-85 ◽  
Author(s):  
Asok Ray ◽  
Mukund Desai ◽  
John Deyst
Keyword(s):  
Fault Detection ◽  
Nuclear Reactor ◽  
Fault Detection And Isolation

Sequential Testing for Fault Detection in Multiply-Redundant Systems

1989 ◽  
Vol 111 (2) ◽  
pp. 329-332 ◽  
Author(s):  
Asok Ray
Keyword(s):  
Fault Detection ◽  
Nuclear Reactor ◽  
Test Procedure ◽  
Fault Detection And Isolation ◽  
Sequential Test ◽  
Ratio Test ◽  
Redundancy Management ◽  
Management Procedure ◽  
Sequential Probability ◽  
Noise Statistics

The paper presents the theory and application of a sequential test procedure for fault detection and isolation (FDI), The test procedure is suited for development of intelligent instrumentation in strategic processes like aircraft and nuclear plants where redundant measurements are usually available for individual critical variables. The algorithm of the test procedure is formulated by use of (1) a generic redundancy management procedure which is essentially independent of the fault detection strategy and measurement noise statistics, and (2) a modified version of sequential probability ratio test (SPRT) algorithm for fault detection and isolation, which functions within the framework of the aforesaid redundancy management procedure. The sequential test procedure is suitable for real-time applications using commercially available microcomputers and its efficacy has been verified by on-line fault detection in an operating nuclear reactor.

Multiple faults detection and isolation approach applied to a kraft recovery boiler

TAPPI Journal ◽  
2014 ◽  
Vol 13 (1) ◽  
pp. 33-41
Author(s):  
YVON THARRAULT ◽  
MOULOUD AMAZOUZ
Keyword(s):  
Fault Detection ◽  
Early Detection ◽  
False Alarm ◽  
False Alarm Rate ◽  
Principal Component ◽  
Fault Isolation ◽  
Fault Detection And Isolation ◽  
Detection Scheme ◽  
Multiple Faults ◽  
Recovery Boiler

Recovery boilers play a key role in chemical pulp mills. Early detection of defects, such as water leaks, in a recovery boiler is critical to the prevention of explosions, which can occur when water reaches the molten smelt bed of the boiler. Early detection is difficult to achieve because of the complexity and the multitude of recovery boiler operating parameters. Multiple faults can occur in multiple components of the boiler simultaneously, and an efficient and robust fault isolation method is needed. In this paper, we present a new fault detection and isolation scheme for multiple faults. The proposed approach is based on principal component analysis (PCA), a popular fault detection technique. For fault detection, the Mahalanobis distance with an exponentially weighted moving average filter to reduce the false alarm rate is used. This filter is used to adapt the sensitivity of the fault detection scheme versus false alarm rate. For fault isolation, the reconstruction-based contribution is used. To avoid a combinatorial excess of faulty scenarios related to multiple faults, an iterative approach is used. This new method was validated using real data from a pulp and paper mill in Canada. The results demonstrate that the proposed method can effectively detect sensor faults and water leakage.

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