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
… Therefore, the OSELM is used in this research to build a gas path fault diagnostic system
that can incrementally adapt with new training sets which is received during its life cycle. As …
that can incrementally adapt with new training sets which is received during its life cycle. As …
Extreme learning machine based transfer learning for aero engine fault diagnosis
YP Zhao, YB Chen - Aerospace science and technology, 2022 - Elsevier
… extreme learning machine (ELM), which has fast training speed and good real-time diagnosis.
… In conclusion, TSTL-ELM shows good real-time performance and high diagnosis accuracy …
… In conclusion, TSTL-ELM shows good real-time performance and high diagnosis accuracy …
An improved hybrid modeling method based on extreme learning machine for gas turbine engine
M Xu, J Wang, J Liu, M Li, J Geng, Y Wu… - Aerospace Science and …, 2020 - Elsevier
… [2], and has been a good choice in terms of real-time and on-board application scenarios. …
vector machine have been also employed to the fault detection and isolation problem of GTEs […
vector machine have been also employed to the fault detection and isolation problem of GTEs […
Group reduced kernel extreme learning machine for fault diagnosis of aircraft engine
B Li, YP Zhao - Engineering Applications of Artificial Intelligence, 2020 - Elsevier
… in systems with high real-time … gas turbines, which supply the main power source of flight
and electricity for aircraft, have always been operated under the harsh condition of extreme …
and electricity for aircraft, have always been operated under the harsh condition of extreme …
Extreme learning machine–radial basis function (ELM-RBF) networks for diagnosing faults in a steam turbine
… [Citation16], compared ELM and SVM for gas turbine fault diagnosis system using simulated
data. … Application of these data-driven approaches for real-time fault diagnosis system …
data. … Application of these data-driven approaches for real-time fault diagnosis system …
Ensemble extreme learning machines for compound-fault diagnosis of rotating machinery
… , automobile transmission systems, wind turbine generator systems, gas turbine engine,
and … -based fault diagnosis technologies usually have difficulty in performing the real-time …
and … -based fault diagnosis technologies usually have difficulty in performing the real-time …
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
… [29] proposed a new learning machine method and results showed that the proposed Q-ELM …
The novelty of the proposed method is that the multiple monitoring parameters in real-time …
The novelty of the proposed method is that the multiple monitoring parameters in real-time …
Intelligent fault diagnosis of multichannel motor–rotor system based on multimanifold deep extreme learning machine
… diagnosis, a new fault diagnosis method for multichannel motor–rotor system via multimanifold
deep extreme learning machine (… new real-time fault diagnostic method of the gas turbine …
deep extreme learning machine (… new real-time fault diagnostic method of the gas turbine …
Anomaly detection of gas turbines based on normal pattern extraction
M Bai, J Liu, J Chai, X Zhao, D Yu - Applied Thermal Engineering, 2020 - Elsevier
… , Elman network and extreme learning machine verifies its … detection of gas turbines aims
at monitoring the real-time … realized the accuracy fault detection of gas turbine combustion …
at monitoring the real-time … realized the accuracy fault detection of gas turbine combustion …
Convolutional neural network-based deep transfer learning for fault detection of gas turbine combustion chambers
… Fault detection aims at monitoring the real-time healthy state of … Yan and Yu [42] used
stacked denoising autoencoder and extreme learning machine for fault detection of gas turbine …
stacked denoising autoencoder and extreme learning machine for fault detection of gas turbine …