Authors:
Lenka Pavelkova
1
and
Ladislav Jirsa
2
Affiliations:
1
Institute of Information Theory and Automation, Czech Republic
;
2
Institute of Information Theory and Automation and Academy of Sciences of the CZ, Czech Republic
Keyword(s):
Industrial System Health, Sensor Signal Condition, Binomial Opinion, Bayesian Estimation, Uniform Noise, Probabilistic Logic.
Related
Ontology
Subjects/Areas/Topics:
Adaptive Signal Processing and Control
;
Business Analytics
;
Change Detection
;
Data Engineering
;
Informatics in Control, Automation and Robotics
;
Signal Processing, Sensors, Systems Modeling and Control
Abstract:
The paper proposes a method for evaluating a condition of a noisy sensor signal. The presented algorithm provides a binomial opinion on the sensor signal health including uncertainty by considering (i) user given bounds and (ii) measurement uncertainty. The obtained results can be utilised directly for a single sensor or in a hierarchical structure describing an industrial system of interest where sensors comprise one of the basic building block. There, each block provides a binomial opinion about its health including uncertainty. These opinions are combined using the rules of probabilistic logic so that a single opinion on the health of the whole monitored system is obtained.