Gas turbine reliability model based on tangent hyperbolic reliability function
The present work deals with the exploration of a new model proposed for the reliability
analysis of industrial production systems. This proposed model is mainly based on the …
analysis of industrial production systems. This proposed model is mainly based on 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 …
Active fault tolerant control based on a neuro fuzzy inference system applied to a two shafts gas turbine
The main aim of the present work is development of an active fault tolerant control for two
shafts gas turbine fault detection and isolation based on a neuro fuzzy inference system …
shafts gas turbine fault detection and isolation based on a neuro fuzzy inference system …
Gas turbine modeling using adaptive fuzzy neural network approach based on measured data classification
The use of gas turbines is widespread in several industries such as; hydrocarbons,
aerospace, power generation. However, despite to their many advantages, they are subject …
aerospace, power generation. However, despite to their many advantages, they are subject …
[PDF][PDF] Fuzzy prognosis system for decision making to vibrations monitoring in gas turbine
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 …
prognostic system to ensure the vibrations monitoring of a gas turbine based on real time …
Intelligent faults diagnostics of turbine vibration's via Fourier transform and neuro-fuzzy systems with wavelets exploitation
Gas turbines play a vital role in gas transportation and power generation, but they are prone
to instability phenomena that can lead to vibrations, shorten equipment lifespan, and result …
to instability phenomena that can lead to vibrations, shorten equipment lifespan, and result …
Heavy duty gas turbine monitoring based on adaptive neuro-fuzzy inference system: speed and exhaust temperature control
Gas turbines are currently a popular power generation technology in countries with access
to natural gas resources. However they are very complex systems the operation of which at …
to natural gas resources. However they are very complex systems the operation of which at …
Detection of an imbalance fault by vibration monitoring: case of a screw compressor
W Meslameni, T Kamoun - Journal of applied research on …, 2021 - journal-aprie.com
The evolution of the means aimed at improving the availability of strategic equipment
requires a credible level of maintenance with the development of original monitoring …
requires a credible level of maintenance with the development of original monitoring …
[PDF][PDF] Monitoring of high-speed shaft of gas turbine using artificial neural networks: Predictive model application
The automatic engineering known a very rapid progress with the consequent development
of numerical methods and computer systems, by the growth of computational capacity. In this …
of numerical methods and computer systems, by the growth of computational capacity. In this …
Dynamic simulation of the oscillation characteristics of supercritical carbon dioxide impacting jets
X Zhang, Y Lu, J Tang, Z Zhou… - Journal of Vibration and …, 2019 - journals.sagepub.com
A numerical model was established to investigate the dynamic oscillation characteristics of
supercritical carbon dioxide (sc-CO2) impacting jets. The jet hydrodynamics, heat transfer …
supercritical carbon dioxide (sc-CO2) impacting jets. The jet hydrodynamics, heat transfer …