The stacked sparse autoencoder is used to automatically extract performance degradation features from multiple sensors on the aircraft engine and to fuse multiple features through multilayer self-learning. Logistic regression is used to predict the remaining useful life.
Feb 27, 2020 · model. The BP residual neural network is used to classify the remaining life of the engine as a result of engine residual life prediction.
Based on Stacked Sparse Automatic Encoder ... remaining life of the aeroengine based on the stacked ... In this paper, a stacked sparse automatic encoder method to.
To solve the problem that the activation energy is assumed to be independent of temperature in the Arrhenius equation, which introduces error to the shelf-life ...
A deep learning approach to predict the RUL of an aircraft engine based on a stacked sparse autoencoder and logistic regression and the grid search method ...
Missing: Automatic | Show results with:Automatic
Jul 30, 2018 · This paper presents a deep learning approach to predict the RUL of an aircraft engine based on a stacked sparse autoencoder and logistic ...
Predicting the remaining useful life (RUL) is the most important information for making decisions about aircraft engine operation and maintenance, and it relies ...
This paper presents a deep learning approach to predict the RUL of an aircraft engine based on a stacked sparse autoencoder and logistic regression. The stacked ...
Missing: Aeroengine | Show results with:Aeroengine
This paper presents a deep learning approach to predict the RUL of an aircraft engine based on a stacked sparse autoencoder and logistic regression. The stacked ...
This paper proposes a residual life prediction model based on Autoencoder and a Temporal Convolutional Network (TCN). ... The stacked sparse autoencoder has more ...