JOURNAL ARTICLE

Active Fault Diagnosis Based on Stochastic Tests

Niels Kjølstad PoulsenHenrik Niemann

Year: 2008 Journal:   International Journal of Applied Mathematics and Computer Science Vol: 18 (4)Pages: 487-496   Publisher: De Gruyter Open

Abstract

Active Fault Diagnosis Based on Stochastic Tests The focus of this paper is on stochastic change detection applied in connection with active fault diagnosis (AFD). An auxiliary input signal is applied in AFD. This signal injection in the system will in general allow us to obtain a fast change detection/isolation by considering the output or an error output from the system. The classical cumulative sum (CUSUM) test will be modified with respect to the AFD approach applied. The CUSUM method will be altered such that it will be able to detect a change in the signature from the auxiliary input signal in an (error) output signal. It will be shown how it is possible to apply both the gain and the phase change of the output signal in CUSUM tests. The method is demonstrated using an example.

Keywords:
CUSUM SIGNAL (programming language) Change detection Computer science Fault detection and isolation Control theory (sociology) Fault (geology) Focus (optics) Algorithm Mathematics Artificial intelligence Statistics

Metrics

58
Cited By
8.68
FWCI (Field Weighted Citation Impact)
25
Refs
0.97
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Fault Detection and Control Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
Advanced Statistical Process Monitoring
Social Sciences →  Decision Sciences →  Statistics, Probability and Uncertainty
Machine Fault Diagnosis Techniques
Physical Sciences →  Engineering →  Control and Systems Engineering
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