Sequential Testing for Fault Detection in Multiply-Redundant Systems

Author:

Ray Asok1

Affiliation:

1. Mechanical Engineering Department, The Pennsylvania State University, University Park, PA 16802

Abstract

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.

Publisher

ASME International

Subject

Computer Science Applications,Mechanical Engineering,Instrumentation,Information Systems,Control and Systems Engineering

Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Sensor fault detection for urban drainage systems using redundant measurements;Urban Water Journal;2022-09-01

2. Multi-fault Condition Monitoring of Slurry Pump with Principle Component Analysis and Sequential Hypothesis Test;International Journal of Pattern Recognition and Artificial Intelligence;2019-10-11

3. Fault Diagnosis of Gearbox Based on Principal Component Analysis and Sequential Probability Ratio Test;Proceedings of the 2nd International Conference on Computer Science and Application Engineering - CSAE '18;2018

4. Multiple fault condition recognition of gearbox with sequential hypothesis test;Mechanical Systems and Signal Processing;2013-11

5. An optimal sensor fusion method for skew-redundant inertial measurement units;Journal of Applied Geodesy;2011-01

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