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 …
Gas turbine availability improvement based on long short-term memory networks using deep learning of their failures data analysis
Practically, a maintenance operation is performed on industrial equipment after scheduled
planning that depends on the average useful life of this equipment (Mean Time Between …
planning that depends on the average useful life of this equipment (Mean Time Between …
Gas path fault diagnosis for gas turbine group based on deep transfer learning
Gas turbines are widely used in power generation. To ensure reliability, data-driven
diagnosis has become increasingly popular. However, sufficient historical data are …
diagnosis has become increasingly popular. However, sufficient historical data are …
Fuzzy diagnostic strategy implementation for gas turbine vibrations faults detection: Towards a characterization of symptom–fault correlations
Background Currently, the challenges of sustainable development in the operational safety
of industrial systems continue to grow and increase, given the increasing complexity of these …
of industrial systems continue to grow and increase, given the increasing complexity of these …
Intelligent control for rapidity and security of all-electric ships gas turbine under complex mutation load using optimized neural network
J Wen, J Lu, S Zhang, R Liu, C Spataru, Y Weng… - Applied Thermal …, 2024 - Elsevier
Due to the small grid capacity of the all-electric ship, the excessive rotor speed overshoot,
slow response, and potential faults in ship gas turbines operated under high mutation loads …
slow response, and potential faults in ship gas turbines operated under high mutation loads …
[HTML][HTML] Development of big data lean optimisation using different control mode for Gas Turbine engine health monitoring
G Musa, M Alrashed, NM Muhammad - Energy Reports, 2021 - Elsevier
In the era of big data lean optimisation, a technologically advanced tool for Gas Turbine (GT)
performance analysis is necessary. This need is due to big data taken every 5 min of about 4 …
performance analysis is necessary. This need is due to big data taken every 5 min of about 4 …
Physics informed neural networks for fault severity identification of axial piston pumps
Z Wang, Z Zhou, W Xu, C Sun, R Yan - Journal of Manufacturing Systems, 2023 - Elsevier
Artificial intelligence (AI) has shown great potential in the maintenance stage of industrial
manufacturing. However, the existing data-driven methods often lack integration with …
manufacturing. However, the existing data-driven methods often lack integration with …
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 …
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 …
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 …