Abstract
The paper focuses on the application of fuzzy sets in fault detection. The objective is to detect faults to an industrial gas turbine, with emphasis on the imbalance occurred in the rotor of the gas turbine. Such a fault has a certain degree of uncertainty and an index based on fuzzy sets has been developed in order to provide a fault confidence degree (0 meaning no fault, 1 the fault has been detected by all the sensors). Experimentation has been carried out on three real industrial turbines and it has shown the reliability and effectiveness of the methodology. © 2009 Springer Berlin Heidelberg.
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CITATION STYLE
Bertini, I., Pannicelli, A., Pizzuti, S., Levorato, P., & Garbin, R. (2009). Rotor imbalance detection in gas turbines using fuzzy sets. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5518 LNCS, pp. 1195–1204). https://doi.org/10.1007/978-3-642-02481-8_180
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