- Tytuł:
- ARMAX-based identification and diagnosis of vibration behavior of gas turbine bearings
- Autorzy:
-
Mahroug, Youcef
Khaldi, Belgacem Said
Guemana, Mouloud
Hafaifa, Ahmed
Iratni, Abdelhamid
Colak, Ilhami - Powiązania:
- https://bibliotekanauki.pl/articles/11025752.pdf
- Data publikacji:
- 2023
- Wydawca:
- Polska Akademia Nauk. Polskie Towarzystwo Diagnostyki Technicznej PAN
- Tematy:
-
system identification
ARMAX
parametric estimation
gas turbine
vibration modelling
turbina gazowa
modelowanie drgań
estymacja parametryczna
identyfikacja systemu - Opis:
- Parametric identification approaches play a crucial role in the control and monitoring of industrial systems. They facilitate the identification of system variables and enable the prediction of their evolution based on the input-output relationship. In this study, we employ the ARMAX approach to accurately predict the dynamic vibratory behavior of MS5002B gas turbine bearings. By utilizing real input-output data obtained from their operation, this approach effectively captures the vibration characteristics of the bearings. Additionally, the ARMAX technique serves as a valuable diagnostic tool for the bearings, enhancing the quality of identification of turbine variables. This enables continuous monitoring of the bearings and real-time prediction of their behavior. Furthermore, the ARMAX approach facilitates the detection of all potential vibration patterns that may occur in the bearings, with monitoring thresholds established by the methodology. Consequently, this enhances the availability of the bearings and reduces turbine downtime. The efficacy of the proposed ARMAX approach is demonstrated through comprehensive results obtained in this study. Robustness tests are conducted, comparing the real behavior observed through various probes with the reference model, thereby validating the approach.
- Źródło:
-
Diagnostyka; 2023, 24, 3; art. no. 2023310
1641-6414
2449-5220 - Pojawia się w:
- Diagnostyka
- Dostawca treści:
- Biblioteka Nauki
Artykuł