A review on vibration-based condition monitoring of rotating machinery
Monitoring vibrations in rotating machinery allows effective diagnostics, as abnormal
functioning states are related to specific patterns that can be extracted from vibration signals …
functioning states are related to specific patterns that can be extracted from vibration signals …
Robust intelligent fault diagnosis strategy using Kalman observers and neuro-fuzzy systems for a wind turbine benchmark
A wind turbine (WT) is an electromechanical system that often operates under a wide range
of production conditions. These electrical systems are nowadays expanding rapidly, and …
of production conditions. These electrical systems are nowadays expanding rapidly, and …
Non-invasive acoustic monitoring of gas turbine units by fiber optic sensors
In this article, we study the possibility of gas turbine unit (GTU) monitoring using
interferometric fiber optic sensors. We used the Mach–Zehnder interferometer (MZI) scheme …
interferometric fiber optic sensors. We used the Mach–Zehnder interferometer (MZI) scheme …
Implementation of vibrations faults monitoring and detection on gas turbine system based on the support vector machine approach
Purpose Gas turbines play a critical role in the gas and hydrocarbon industry, but they are
prone to failures and malfunctions that can impact their performance and safety. Therefore, it …
prone to failures and malfunctions that can impact their performance and safety. Therefore, it …
[PDF][PDF] Gas turbine vibration detection and identification based on dynamic artificial neural networks
Vibration control in rotating machinery is a major challenge in oil and gas facilities that use
these machines. In gas turbines, the instability phenomenon is generated by the rotor, and …
these machines. In gas turbines, the instability phenomenon is generated by the rotor, and …
Advancing predictive maintenance for gas turbines: An intelligent monitoring approach with ANFIS, LSTM, and reliability analysis
Gas turbine malfunctions can significantly impact production and safety. This study proposes
an intelligent monitoring system for MS5002C gas turbines using Adaptive Neuro-Fuzzy …
an intelligent monitoring system for MS5002C gas turbines using Adaptive Neuro-Fuzzy …
Performance and Optimization of a Dual-Stage Vibration Isolation System Using Bio-Inspired Vibration Isolators
Z Huang, X Shi, D Mu, X Huang, W Tong - Applied Sciences, 2022 - mdpi.com
This paper thoroughly investigates the performance and multi-parameter optimization of a
dual-stage vibration isolation system with bio-inspired isolators (BI-DSVI) under different …
dual-stage vibration isolation system with bio-inspired isolators (BI-DSVI) under different …
[PDF][PDF] ARMAX-based identification and diagnosis of vibration behavior of gas turbine bearings
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 …
industrial systems. They facilitate the identification of system variables and enable the …
[PDF][PDF] Stability and analysis of vibrations bifurcation based on dynamic modeling of a Solar Titan 130 gas turbine
This work is interested in studying the vibrations' stability in gas turbines, compared to a
dynamic model of the Jeffcott rotor, the parameters of the gas turbine will be estimated for …
dynamic model of the Jeffcott rotor, the parameters of the gas turbine will be estimated for …
Rotor dynamics and stability of the centrifugal pump CPN 600-35 for nuclear power plants
I Pavlenko, V Simonovskiy, A Verbovyi… - Design, Simulation …, 2022 - Springer
The paper ensures the vibration reliability of the centrifugal pump CPN 600-35 for the water
supply of an industrial circuit at nuclear power plants by improving its technical designs. The …
supply of an industrial circuit at nuclear power plants by improving its technical designs. The …