A sensor fusion based approach for bearing fault diagnosis of rotating machine

T Mian, A Choudhary, S Fatima - … Part O: Journal of Risk and …, 2022 - journals.sagepub.com
Fault diagnosis in rotating machines plays a vital role in various industries. Bearing is the
essential element of rotating machines, and early fault detection can reduce the …

Transfer-learning-based state-of-health estimation for lithium-ion battery with cycle synchronization

KQ Zhou, Y Qin, C Yuen - IEEE/ASME Transactions on …, 2022 - ieeexplore.ieee.org
Accurately estimating a battery's state of health (SOH) helps prevent battery-powered
applications from failing unexpectedly. With the superiority of reducing the data requirement …

Health state identification method of nuclear power main circulating pump based on EEMD and OQGA-SVM

Z Liu, M Li, Z Zhu, L Xiao, C Nie, Z Tang - Electronics, 2023 - mdpi.com
Main circulation pump is the only high-speed rotating equipment in primary loop of nuclear
power plant. Its function is to ensure the normal operation of primary loop system by …

Spatiotemporal capsule neural network for vehicle trajectory prediction

Y Qin, YL Guan, C Yuen - IEEE Transactions on Vehicular …, 2023 - ieeexplore.ieee.org
Through advancement of the Vehicle-to-Everything (V2X) network, road safety, energy
consumption, and traffic efficiency can be significantly improved. An accurate vehicle …

Lithium-ion battery state of health estimation by matrix profile empowered online knee onset identification

KQ Zhou, Y Qin, C Yuen - IEEE Transactions on Transportation …, 2023 - ieeexplore.ieee.org
Lithium-ion batteries (LiBs) degrade slightly until the knee onset, after which the
deterioration accelerates to end of life (EOL). The knee onset, which marks the initiation of …

A robust supervised subspace learning approach for output-relevant prediction and detection against outliers

W Li, Y Wang - Journal of Process Control, 2021 - Elsevier
This paper proposes a novel robust supervised subspace learning (RSSL) method for output-
relevant prediction and detection against outliers. RSSL learns the robust subspaces by …

A Subspace Projective Clustering Approach for Backdoor Attack Detection and Mitigation in Deep Neural Networks

Y Wang, W Li, E Sarkar, M Shafique… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Backdoor attacks in Deep Neural Networks (DNNs) involve an attacker inserting a backdoor
into the network by manipulating the training dataset, which causes misclassification of …

Data screening based on correlation energy fluctuation coefficient and deep learning for fault diagnosis of rolling bearings

B Qin, Q Luo, Z Li, C Zhang, H Wang, W Liu - Energies, 2022 - mdpi.com
The accuracy of the intelligent diagnosis of rolling bearings depends on the quality of its
vibration data and the accuracy of the state identification model constructed accordingly …

Graph neural network-based lithium-ion battery state of health estimation using partial discharging curve

KQ Zhou, Y Qin, C Yuen - Journal of Energy Storage, 2024 - Elsevier
Data-driven methods have gained extensive attention in estimating the state of health (SOH)
of lithium-ion batteries. Accurate SOH estimation requires degradation-relevant features and …

A hybrid deep learning model-based remaining useful life estimation for reed relay with degradation pattern clustering

C Gamanayake, Y Qin, C Yuen… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
Reed relay serves as the fundamental component of functional testing, which closely relates
to the successful quality inspection of electronics. To provide accurate remaining useful life …