<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>This paper proposes a decision making approach based on the development of a fuzzy prognostic system to ensure the vibrations monitoring of a gas turbine based on real time information obtained from different installed sensors. In this approach the case of incomplete obtained data which may occur frequently is taken into account by using an approach of full data reconstitution form incomplete data. The proposed fuzzy prognostic system approach presented in this paper allows the analysis of the data obtained via the vibration indicators of a gas turbine system for the accurate identification of the faults to avoid the performance degradation of such systems. In order to prove the robustness of the proposed approach presented in this paper, several tested has been performed.</p>
</abstract>

This paper proposes a decision making approach based on the development of a fuzzy prognostic system to ensure the vibrations monitoring of a gas turbine based on real time information obtained from different installed sensors. In this approach the case of incomplete obtained data which may occur frequently is taken into account by using an approach of full data reconstitution form incomplete data. The proposed fuzzy prognostic system approach presented in this paper allows the analysis of the data obtained via the vibration indicators of a gas turbine system for the accurate identification of the faults to avoid the performance degradation of such systems. In order to prove the robustness of the proposed approach presented in this paper, several tested has been performed.

Fuzzy Prognosis System for Decision Making to Vibrations Monitoring in Gas Turbine

Applied Automation and Industrial Diagnostics Laboratory

Faculty of Science and Technology, University of Djelfa

Strojnícky časopis - Journal of Mechanical Engineering

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

This paper proposes a decision making approach based on the development of a fuzzy prognostic system to ensure the vibrations monitoring of a gas turbine based...

Fuzzy Prognosis System for Decision Making to Vibrations Monitoring in Gas Turbine

Online veröffentlicht: 07. Dez. 2021

Seitenbereich: 239 - 256

DOI: https://doi.org/10.2478/scjme-2021-0033

Schlüsselwörter
Prognosis system, fuzzy system, fuzzy modeling, fuzzy decision making, incomplete data, vibration in gas turbine

© 2021 Saadat Boulanouar et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Fuzzy Prognosis System for Decision Making to Vibrations Monitoring in Gas Turbine

Online veröffentlicht: 07. Dez. 2021

Seitenbereich: 239 - 256

DOI: https://doi.org/10.2478/scjme-2021-0033

SchlüsselwörterPrognosis system, fuzzy system, fuzzy modeling, fuzzy decision making, incomplete data, vibration in gas turbine

© 2021 Saadat Boulanouar et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

Schlüsselwörter
Prognosis system, fuzzy system, fuzzy modeling, fuzzy decision making, incomplete data, vibration in gas turbine