Deep transfer learning for bearing fault diagnosis: A systematic review since 2016
The traditional deep learning-based bearing fault diagnosis approaches assume that the
training and test data follow the same distribution. This assumption, however, is not always …
training and test data follow the same distribution. This assumption, however, is not always …
Multi-sensor filtering fusion meets censored measurements under a constrained network environment: Advances, challenges and prospects
Multi-sensor filtering fusion (MSFF) is a fascinating subject in the realm of networked filtering
due to its advantage of effectively integrating sensor outputs from multiple sources. Owing to …
due to its advantage of effectively integrating sensor outputs from multiple sources. Owing to …
[HTML][HTML] Cross-subject EEG channel selection method for lower limb brain-computer interface
Lower limb motor imagery (MI) classification is a challenging research topic in the area of
brain-computer interfaces (BCIs), and entails numerous signal channels to provide sufficient …
brain-computer interfaces (BCIs), and entails numerous signal channels to provide sufficient …
Protocol-based variance-constrained distributed secure filtering with measurement censoring
In this article, the variance-constrained distributed secure filtering issue based on
communication protocol is investigated for time-varying stochastic systems with …
communication protocol is investigated for time-varying stochastic systems with …
Distributed fusion filtering for uncertain systems with coupled noises, random delays and packet loss prediction compensation
The design of recursive estimation algorithms in networked systems is an important research
challenge from both theoretical and practical perspectives. The growing number of …
challenge from both theoretical and practical perspectives. The growing number of …
Outlier-resistant sequential filtering fusion for cyber-physical systems with quantized measurements under denial-of-service attacks
In this paper, an outlier-resistant sequential fusion problem is concerned for cyber-physical
systems with quantized measurements under denial-of-service attacks. The multi-sensor …
systems with quantized measurements under denial-of-service attacks. The multi-sensor …
Distributed fusion filtering for cyber-physical systems under Round-Robin protocol: a mixed H2/H∞ framework
Y **, X Ma, X Meng, Y Chen - International Journal of Systems …, 2023 - Taylor & Francis
In this paper, the distributed mixed H 2/H∞ fusion filter design problem is investigated for a
class of cyber-physical systems subject to non-ideal measurements under Round-Robin …
class of cyber-physical systems subject to non-ideal measurements under Round-Robin …
Investigating the progression of insulation degradation in power cable based on partial discharge measurements
Assessments of aging and insulation degradation in power components are important to
observe and track their condition during operation. Partial discharge (PD) diagnostics is an …
observe and track their condition during operation. Partial discharge (PD) diagnostics is an …
Protocol-based distributed security fusion estimation for time-varying uncertain systems over sensor networks: Tackling DoS attacks
L Zha, Y Guo, J Liu, X **e, E Tian - IEEE Transactions on Signal …, 2024 - ieeexplore.ieee.org
This article studies the distributed fusion estimation (DFE) issue for networked multi-sensor
systems (NMSSs) with stochastic uncertainties, bandwidth-constrained network and energy …
systems (NMSSs) with stochastic uncertainties, bandwidth-constrained network and energy …
Distributed recursive filtering over sensor networks under random access protocol: When state saturation meets censored measurement
In this article, a new distributed filtering problem is studied for a class of state-saturated time-
varying systems over sensor networks under measurement censoring, where the censored …
varying systems over sensor networks under measurement censoring, where the censored …