[HTML][HTML] Multi-mode diagnosis of a gas turbine engine using an adaptive neuro-fuzzy system
Abstract Gas Turbine Engines (GTEs) are vastly used for generation of mechanical power in
a wide range of applications from airplane propulsion systems to stationary power plants …
a wide range of applications from airplane propulsion systems to stationary power plants …
Gas path component fault diagnosis of an industrial gas turbine under different load condition using online sequential extreme learning machine
M Montazeri-Gh, A Nekoonam - Engineering Failure Analysis, 2022 - Elsevier
One of the challenges that data-based gas path component monitoring systems are facing,
is the poor performance in those operational conditions that are not considered in the …
is the poor performance in those operational conditions that are not considered in the …
A multi-nets ANN model for real-time performance-based automatic fault diagnosis of industrial gas turbine engines
When a robust mathematical model of a process equipment is available, model-based
diagnostic methods can be used to identify the occurrence of faults in a system. However …
diagnostic methods can be used to identify the occurrence of faults in a system. However …
Novel gas turbine fault diagnosis method based on performance deviation model
Z Li, SS Zhong, L Lin - Journal of Propulsion and Power, 2017 - arc.aiaa.org
Effective fault detection and identification methods are crucial in gas turbine maintenance.
To express the gas turbine performance of the fault symptom state precisely and to reduce …
To express the gas turbine performance of the fault symptom state precisely and to reduce …
[HTML][HTML] Representational learning for fault diagnosis of wind turbine equipment: A multi-layered extreme learning machines approach
Reliable and quick response fault diagnosis is crucial for the wind turbine generator system
(WTGS) to avoid unplanned interruption and to reduce the maintenance cost. However, the …
(WTGS) to avoid unplanned interruption and to reduce the maintenance cost. However, the …
A data-driven design for fault detection of wind turbines using random forests and XGboost
Wind energy has seen great development during the past decade. However, wind turbine
availability and reliability, especially for offshore sites, still need to be improved, which …
availability and reliability, especially for offshore sites, still need to be improved, which …
[HTML][HTML] Feature selection algorithms for wind turbine failure prediction
It is well known that each year the wind sector has profit losses due to wind turbine failures
and operation and maintenance costs. Therefore, operations related to these actions are …
and operation and maintenance costs. Therefore, operations related to these actions are …
Real-time fault diagnosis for gas turbine generator systems using extreme learning machine
Real-time fault diagnostic system is very important to maintain the operation of the gas
turbine generator system (GTGS) in power plants, where any abnormal situation will …
turbine generator system (GTGS) in power plants, where any abnormal situation will …
Gas turbine diagnostics using a soft computing approach
A fuzzy system is developed using a linearized performance model of the gas turbine engine
for performing gas turbine fault isolation from noisy measurements. By using a priori …
for performing gas turbine fault isolation from noisy measurements. By using a priori …
[HTML][HTML] Fault diagnosis for rotating machinery using vibration measurement deep statistical feature learning
Fault diagnosis is important for the maintenance of rotating machinery. The detection of
faults and fault patterns is a challenging part of machinery fault diagnosis. To tackle this …
faults and fault patterns is a challenging part of machinery fault diagnosis. To tackle this …