A novel IoT network intrusion detection approach based on adaptive particle swarm optimization convolutional neural network
X Kan, Y Fan, Z Fang, L Cao, NN Xiong, D Yang… - Information Sciences, 2021 - Elsevier
In the field of network security, it is of great significance to accurately detect various types of
Internet of Things (IoT) network intrusion attacks which launched by the attacker-controlled …
Internet of Things (IoT) network intrusion attacks which launched by the attacker-controlled …
Multicellular LSTM-based deep learning model for aero-engine remaining useful life prediction
The prediction of aero-engine remaining useful life (RUL) is helpful for its operation and
maintenance. Aiming at the challenge that most neural networks (NNs), including long short …
maintenance. Aiming at the challenge that most neural networks (NNs), including long short …
[HTML][HTML] A long short-term memory neural network based Wiener process model for remaining useful life prediction
X Chen, Z Liu - Reliability Engineering & System Safety, 2022 - Elsevier
An unsuitable type of degradation trend function in the Wiener process-based degradation
model will negatively influence its performance when calculating remaining useful life (RUL) …
model will negatively influence its performance when calculating remaining useful life (RUL) …
An integrated deep multiscale feature fusion network for aeroengine remaining useful life prediction with multisensor data
Most RUL prediction methods can only extract single-scale features, ignoring significant
details at other scales and layers. These methods are all constructed using one type of …
details at other scales and layers. These methods are all constructed using one type of …
An online dual filters RUL prediction method of lithium-ion battery based on unscented particle filter and least squares support vector machine
X Li, Y Ma, J Zhu - Measurement, 2021 - Elsevier
The lithium-ion battery degradation in electric vehicles is inevitable among its lifetime.
Therefore, it is important to predict the remaining useful life (RUL) for battery management …
Therefore, it is important to predict the remaining useful life (RUL) for battery management …
Unsupervised health indicator construction by a novel degradation-trend-constrained variational autoencoder and its applications
Health indicator (HI) affects the accuracy and reliability of the remaining useful life (RUL)
prediction model. The hidden variables of variational autoencoder (VAE) can represent the …
prediction model. The hidden variables of variational autoencoder (VAE) can represent the …
Wind power forecasting system with data enhancement and algorithm improvement
Y Zhang, X Kong, J Wang, H Wang, X Cheng - Renewable and Sustainable …, 2024 - Elsevier
Wind power generation has strong volatility. Accurate wind speed forecasting can not only
avoid the waste of power resources, but also facilitate the development of clean energy and …
avoid the waste of power resources, but also facilitate the development of clean energy and …
An adaptive and generalized Wiener process model with a recursive filtering algorithm for remaining useful life estimation
W Yu, Y Shao, J Xu, C Mechefske - Reliability Engineering & System Safety, 2022 - Elsevier
In this paper, we propose a generalized Wiener process-based degradation model with an
adaptive drift to characterize the degradation behavior exhibiting nonlinearity, temporal …
adaptive drift to characterize the degradation behavior exhibiting nonlinearity, temporal …
Long-range dependence and heavy tail characteristics for remaining useful life prediction in rolling bearing degradation
W Song, H Liu, E Zio - Applied Mathematical Modelling, 2022 - Elsevier
In practice, the processes of degradation of inductive components and produced have long-
range dependence characteristic, whereby the future degradation evolution is related to …
range dependence characteristic, whereby the future degradation evolution is related to …
A hybrid method for cutting tool RUL prediction based on CNN and multistage Wiener process using small sample data
X Zhang, B Shi, B Feng, L Liu, Z Gao - Measurement, 2023 - Elsevier
Based on the multistage and nonlinear characteristics of cutting tool wear, a hybrid method
for cutting tool remaining useful life (RUL) prediction based on convolutional neural network …
for cutting tool remaining useful life (RUL) prediction based on convolutional neural network …