Modelling of surge phenomena in a centrifugal compressor: experimental analysis for control
Actually, gas transportation in hydrocarbon industries in several countries is based mainly
on the use of centrifugal compressors to ensure precise spots under specified conditions …
on the use of centrifugal compressors to ensure precise spots under specified conditions …
Condition monitoring of rotating machines under time-varying conditions based on adaptive canonical variate analysis
Condition monitoring signals obtained from rotating machines often demonstrate a highly
non-stationary and transient nature due to internal natural deterioration characteristics of …
non-stationary and transient nature due to internal natural deterioration characteristics of …
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 …
Periodic analysis on gas path fault diagnosis of gas turbines
D Zhou, D Huang, H Zhang, J Yang - ISA transactions, 2022 - Elsevier
The gas path fault diagnosis is considered widely to ensure the economy, safety and
practicability of gas turbines. Traditional gas path diagnosis methods are vulnerable to …
practicability of gas turbines. Traditional gas path diagnosis methods are vulnerable to …
[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 …
[PDF][PDF] Detection and modeling vibrational behavior of a gas turbine based on dynamic neural networks approach
During the gas turbine exploitation the presence of small defects can cause very high
vibration amplifications, localized on the components of this rotating machine. For this, a …
vibration amplifications, localized on the components of this rotating machine. For this, a …
Exploration of reliability algorithms using modified Weibull distribution: Application on gas turbine
The main purpose of the present paper is the exploration of an algorithm for reliability
assessment and analysis based on the modified Weibull distribution. Indeed, an original …
assessment and analysis based on the modified Weibull distribution. Indeed, an original …
Neural network monitoring system used for the frequency vibration prediction in gas turbine
MB Rahmoune, A Hafaifa… - 2015 3rd International …, 2015 - ieeexplore.ieee.org
Rotating machines are widely used in the industry; all these machines in operation produce
vibrations phenomena caused by dynamic forces generated in moving parts of these …
vibrations phenomena caused by dynamic forces generated in moving parts of these …
Exploitation of multi-models identification with decoupled states in twin shaft gas turbine variables for its diagnosis based on parity space approach
In practice, model-based fault diagnosis methods are essential to improve availability with
reduced operating costs and good operational reliability of industrial systems. This is based …
reduced operating costs and good operational reliability of industrial systems. This is based …
Fault diagnosis in gas turbine based on neural networks: Vibrations speed application
The diagnosis of faults and failures in industrial systems is becoming increasingly essential.
This work proposes the development of a fault diagnostics system based on artificial …
This work proposes the development of a fault diagnostics system based on artificial …