Parametric early warning diagnostic method for rotating machinery diagnostics
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Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie
Submission date: 2016-08-27
Final revision date: 2016-10-28
Acceptance date: 2016-10-28
Publication date: 2016-11-21
Corresponding author
Wojciech Staszewski   

Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie, Al. Mickiewicza 30, 30-059 Kraków, Polska
Diagnostyka 2016;17(4):49-58
The aim of the paper is to detect and identify diagnostic symptoms based on parametric modeling with the use of system identification methods in the scope of monitoring techniques intended for rotating machinery under transient operational conditions. The development effort should focus on early warning methods in order to increase detectability and performance of machines operation. The diagnostic symptoms may prove to be a powerful tool for the decision support systems based on easier interpretable parameters of a parametric model. The paper discusses the experimental results obtained with the use of a laboratory test rig as well as data from conducted numerical simulations.
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