A novel gas turbine fault diagnosis method based on transfer learning with CNN
A transfer learning method based on CNN and SVM is investigated for gas turbine fault
diagnosis. The excellent classification ability of CNNs is attributed to their ability to learn rich …
diagnosis. The excellent classification ability of CNNs is attributed to their ability to learn rich …
Fault diagnosis of gas turbine based on partly interpretable convolutional neural networks
D Zhou, Q Yao, H Wu, S Ma, H Zhang - Energy, 2020 - Elsevier
The fault diagnosis of gas turbines plays a vital role in engine reliability and availability. The
data-driven diagnostic model has been verified useful for identifying and characterizing …
data-driven diagnostic model has been verified useful for identifying and characterizing …
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 …
Convolutional neural network-based deep transfer learning for fault detection of gas turbine combustion chambers
Gas turbine combustion chambers work in highly adverse environment and thus malfunction
more easily compared to other components. Fault detection of gas turbine combustion …
more easily compared to other components. Fault detection of gas turbine combustion …
Wind turbine fault diagnosis based on transfer learning and convolutional autoencoder with small-scale data
Y Li, W Jiang, G Zhang, L Shu - Renewable Energy, 2021 - Elsevier
Condition monitoring and fault diagnosis for wind turbines can effectively reduce the impact
of failures. However, many wind turbines cannot establish fault diagnosis models due to …
of failures. However, many wind turbines cannot establish fault diagnosis models due to …
Performance-based fault diagnosis of a gas turbine engine using an integrated support vector machine and artificial neural network method
AD Fentaye, SI Ul-Haq Gilani… - Proceedings of the …, 2019 - journals.sagepub.com
An effective and reliable gas path diagnostic method that could be used to detect, isolate,
and identify gas turbine degradations is crucial in a gas turbine condition-based …
and identify gas turbine degradations is crucial in a gas turbine condition-based …
Long short-term memory network-based normal pattern group for fault detection of three-shaft marine gas turbine
M Bai, J Liu, Y Ma, X Zhao, Z Long, D Yu - Energies, 2020 - mdpi.com
Fault detection and diagnosis can improve safety and reliability of gas turbines. Current
studies on gas turbine fault detection and diagnosis mainly focus on the case of abundant …
studies on gas turbine fault detection and diagnosis mainly focus on the case of abundant …
A coupling diagnosis method of sensors faults in gas turbine control system
R Sun, L Shi, X Yang, Y Wang, Q Zhao - Energy, 2020 - Elsevier
Gas turbines usually operate under complex conditions, such as frequent start-stop, complex
environment (dust, salt fog). There are many sensors equipped in a gas turbine for the sake …
environment (dust, salt fog). There are many sensors equipped in a gas turbine for the sake …
Fault diagnosis methods based on machine learning and its applications for wind turbines: A review
With the increase in the installed capacity of wind power systems, the fault diagnosis and
condition monitoring of wind turbines (WT) has attracted increasing attention. In recent …
condition monitoring of wind turbines (WT) has attracted increasing attention. In recent …
Learning transfer feature representations for gas path fault diagnosis across gas turbine fleet
B Li, YP Zhao, YB Chen - Engineering Applications of Artificial Intelligence, 2022 - Elsevier
Intelligent data-driven fault diagnosis based on conventional machine learning techniques
has been extensively studied in recent years. However, these methods often assumed that …
has been extensively studied in recent years. However, these methods often assumed that …