Research graph
References from Beyond Accuracy: A Reliability-Oriented Multi-Dimensional Benchmark of Data-Driven Fault Diagnosis for Liquid Rocket Engines. Local targets link to admitted publications; unresolved targets remain external evidence.
Unresolved reference
External reference
Unresolved reference
External reference
Anomaly detection configured as a combination of state observer and Mahalanobis-Taguchi method for a rocket engine
2018 · External reference
Remaining useful life prediction with uncertainty quantification of liquid propulsion rocket engine combustion chamber
10.1016/j.ifacol.2022.07.112 · 2022 · External reference
Fault detection and diagnosis algorithms for an open-cycle liquid propellant rocket engine using the Kalman filter and fault factor methods
10.1016/j.actaastro.2018.03.001 · 2018 · External reference
10.23919/ccc52363.2021.9550493
10.23919/ccc52363.2021.9550493 · External reference
Data-driven fault detection in a reusable rocket engine using bivariate time-series analysis
10.1016/j.actaastro.2020.11.035 · 2021 · External reference
Parity space method for fault diagnosis of liquid rocket engine
1999 · External reference
Independent component analysis for fault diagnosis of the liquid rocket engine
2013 · External reference
10.3390/aerospace9080399
10.3390/aerospace9080399 · External reference
Artificial intelligence in prognostics and health management of engineering systems
10.1016/j.engappai.2021.104552 · 2022 · External reference
A sequential approach to feature selection in high-dimensional additive models
10.1016/j.jspi.2021.04.004 · 2021 · External reference
Steady-state process fault detection for liquid rocket engines based on convolutional auto-encoder and one-class support vector machine
10.1109/access.2019.2961742 · 2019 · External reference
Fault Detection in Liquid-Propellant Rocket Engines Based on Improved PSO-BP Neural Network
10.17706/jsw.14.8.380-387 · 2019 · External reference
Application of QGA-BP for fault detection of liquid rocket engines
2019 · External reference
Deep neural network approach for fault detection and diagnosis during startup transient of liquid-propellant rocket engine
10.1016/j.actaastro.2020.08.019 · 2020 · External reference
Online visual monitoring method for liquid rocket engine nozzle welding based on a multi-task deep learning model
10.1016/j.jmsy.2023.02.016 · 2023 · External reference
A soft-target difference scaling network via relational knowledge distillation for fault detection of liquid rocket engine under multi-source trouble-free samples
10.1016/j.ress.2022.108759 · 2022 · External reference
A supervised framework for recognition of liquid rocket engine health state under steady-state process without fault samples
2021 · External reference
An efficient approach for the diagnosis of faults in turbo pump of liquid rocket engine by employing FFT and time-domain features
2018 · External reference
Multi-source fault identification based on combined deep learning
10.1051/matecconf/202030903037 · 2020 · External reference
Sensor failure management in liquid rocket engine using artificial neural network
2020 · External reference
Application of Wasserstein distance in fault detection for liquid-propellant rocket engines
2023 · External reference
Interpretation of the XJTU-REF Liquid Rocket Engine Fault Simulation Dataset
2026 · External reference
Fault detection and diagnosis algorithms for an open-cycle liquid propellant rocket engine using the Kalman filter and fault factor methods
10.1016/j.actaastro.2018.03.001 · ExternalCitation · doi-reference
Deep neural network approach for fault detection and diagnosis during startup transient of liquid-propellant rocket engine
10.1016/j.actaastro.2020.08.019 · ExternalCitation · doi-reference
Data-driven fault detection in a reusable rocket engine using bivariate time-series analysis
10.1016/j.actaastro.2020.11.035 · ExternalCitation · doi-reference
Artificial intelligence in prognostics and health management of engineering systems
10.1016/j.engappai.2021.104552 · ExternalCitation · doi-reference
Remaining useful life prediction with uncertainty quantification of liquid propulsion rocket engine combustion chamber
10.1016/j.ifacol.2022.07.112 · ExternalCitation · doi-reference
Online visual monitoring method for liquid rocket engine nozzle welding based on a multi-task deep learning model
10.1016/j.jmsy.2023.02.016 · ExternalCitation · doi-reference
A sequential approach to feature selection in high-dimensional additive models
10.1016/j.jspi.2021.04.004 · ExternalCitation · doi-reference
A soft-target difference scaling network via relational knowledge distillation for fault detection of liquid rocket engine under multi-source trouble-free samples
10.1016/j.ress.2022.108759 · ExternalCitation · doi-reference
Multi-source fault identification based on combined deep learning
10.1051/matecconf/202030903037 · ExternalCitation · doi-reference
Steady-state process fault detection for liquid rocket engines based on convolutional auto-encoder and one-class support vector machine
10.1109/access.2019.2961742 · ExternalCitation · doi-reference
Fault Detection in Liquid-Propellant Rocket Engines Based on Improved PSO-BP Neural Network
10.17706/jsw.14.8.380-387 · ExternalCitation · doi-reference
10.23919/ccc52363.2021.9550493
10.23919/ccc52363.2021.9550493 · ExternalCitation · doi-reference
10.3390/aerospace9080399
10.3390/aerospace9080399 · ExternalCitation · doi-reference
