A novel robust dual unscented particle filter method for remaining useful life prediction of rolling bearings
L Cui, W Li, D Liu, H Wang - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
It is still challenging to accurately predict the remaining useful life (RUL) of bearings with
fluctuating degradation processes. To address this issue, this article proposes a novel robust …
fluctuating degradation processes. To address this issue, this article proposes a novel robust …
Synchronous odd symmetric transform for rolling bearing fault diagnosis
L Cui, H Wang, D Zhao, H Xu - Measurement, 2024 - Elsevier
Time-frequency analysis (TFA) is an important tool to process non-stationary signals and
detect bearing faults. For considering energy concentration, computational efficiency, and …
detect bearing faults. For considering energy concentration, computational efficiency, and …
[HTML][HTML] A Comparative Study of Deep-Learning Autoencoders (DLAEs) for Vibration Anomaly Detection in Manufacturing Equipment
S Lee, AB Kareem, JW Hur - Electronics, 2024 - mdpi.com
Speed reducers (SR) and electric motors are crucial in modern manufacturing, especially
within adhesive coating equipment. The electric motor mainly transforms electrical power …
within adhesive coating equipment. The electric motor mainly transforms electrical power …
[HTML][HTML] Influence of α-Stable Noise on the Effectiveness of Non-Negative Matrix Factorization—Simulations and Real Data Analysis
Non-negative matrix factorization (NMF) has been used in various applications, including
local damage detection in rotating machines. Recent studies highlight the limitations of …
local damage detection in rotating machines. Recent studies highlight the limitations of …