Feature selection and feature learning in machine learning applications for gas turbines: A review
The progress of machine learning (ML) in the past years has opened up new opportunities
to the field of gas turbine (GT) modelling. However, successful implementation of ML …
to the field of gas turbine (GT) modelling. However, successful implementation of ML …
Remaining useful life prediction based on transfer multi-stage shrinkage attention temporal convolutional network under variable working conditions
W Li, Z Shang, M Gao, S Qian, Z Feng - Reliability Engineering & System …, 2022 - Elsevier
Many data-driven remaining useful life (RUL) prediction methods usually assume that the
training and test data are independent and identically distributed. However, the different …
training and test data are independent and identically distributed. However, the different …
A sequential cross-product knowledge accumulation, extraction and transfer framework for machine learning-based production process modelling
Machine learning is a promising method to model production processes and predict product
quality. It is challenging to accurately model complex systems due to data scarcity, as mass …
quality. It is challenging to accurately model complex systems due to data scarcity, as mass …
Deep transfer learning strategy in intelligent fault diagnosis of rotating machinery
Rotating machinery plays an essential part in many engineering fields. It needs prompt
solutions to the prognosis and health management to ensure the system reliability …
solutions to the prognosis and health management to ensure the system reliability …
Multi-stage distribution correction: A promising data augmentation method for few-shot fault diagnosis
Benefiting from the excellent capability of data processing, deep learning-based methods
have been well applied in fault diagnosis. However, these methods may perform poorly due …
have been well applied in fault diagnosis. However, these methods may perform poorly due …
Few-shot fatigue damage evaluation of aircraft structure using neural augmentation and deep transfer learning
C Che, H Wang, M Xiong, S Luo - Engineering Failure Analysis, 2023 - Elsevier
To solve the problems of few-shot samples, different structural degradation trends and poor
damage evaluation effect in fatigue damage evaluation of aircraft structure, an intelligent …
damage evaluation effect in fatigue damage evaluation of aircraft structure, an intelligent …
The perceptron algorithm with uneven margins based transfer learning for turbofan engine fault detection
YP Zhao, W Cai - Engineering Applications of Artificial Intelligence, 2024 - Elsevier
Aeroengine fault detection is an important means to ensure flight safety. The application
premise of data driven fault detection method is that all data come from the same …
premise of data driven fault detection method is that all data come from the same …
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 …
Meta-fourier neural operators for multi-task modeling of film cooling in gas turbine endwalls
Q Wang, J Lou, Y Li, L Yang - Engineering Applications of Artificial …, 2024 - Elsevier
Film cooling was a key technology to protect gas turbine endwalls from thermal ablation.
Precise local temperature control was important for film cooling design on turbine endwalls …
Precise local temperature control was important for film cooling design on turbine endwalls …