Rotor imbalance detection in gas turbines using fuzzy sets

Ilaria Bertini, Alessandro Pannicelli, Stefano Pizzuti, Paolo Levorato, Riccardo Garbin

Research output: Contribution to conferencePaper

2 Citations (Scopus)

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.
Original languageEnglish
DOIs
Publication statusPublished - 2009
Externally publishedYes
Event10th International Work-Conference on Artificial Neural Networks, IWANN 2009 - , Spain
Duration: 1 Jan 2009 → …

Conference

Conference10th International Work-Conference on Artificial Neural Networks, IWANN 2009
CountrySpain
Period1/1/09 → …

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All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Bertini, I., Pannicelli, A., Pizzuti, S., Levorato, P., & Garbin, R. (2009). Rotor imbalance detection in gas turbines using fuzzy sets. Paper presented at 10th International Work-Conference on Artificial Neural Networks, IWANN 2009, Spain. https://doi.org/10.1007/978-3-642-02481-8_180