Bidirectional Current WP and CBAR Neural Network Model Based Bearing Fault Diagnosis

J Zhu, T Liu - IEEE Access, 2023 - ieeexplore.ieee.org
In the era of artificial intelligence, the development of an efficient bearing, fault diagnosis
method is of vital importance to ensure smooth production operations and avoid major …

A method for remaining useful life prediction of milling cutter using multi-scale spatial data feature visualization and domain separation prediction network

Q Liu, J Liu, X Liu, C Yue, J Ma, B Zhang… - … Systems and Signal …, 2025 - Elsevier
At present, the tool remaining useful life prediction technology is important to the
effectiveness of machining, because tool life prediction plays the role of safety maintenance …

Time-shift denoising Combined with DWT-Enhanced Condition Domain Adaptation for Motor Bearing Fault Diagnosis via Current Signals

X Wang, Z Liu, M Dai, W Li, J Tang - IEEE Sensors Journal, 2024 - ieeexplore.ieee.org
Traditional fault diagnosis often relies on vibration signals for experimentation. However,
vibration diagnostic techniques demand high precision from sensors and stringent …

Intelligent fault diagnosis of ultrasonic motors based on graph-regularized CNN-BiLSTM

P Li, T Qin, A Zhang, X Li - Measurement Science and …, 2024 - iopscience.iop.org
The ultrasonic motor (USM) is peculiarly prone to failure due to continuous high-frequency
friction-related power transfer, whose failure mechanisms are remarkably different from …

Fault detection of inter-turn short circuit in induction motors under non-stationary conditions and unbalanced supply voltage

X Dong, J Yuan, L Xiong, G Niu - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Stator winding inter-turn short circuit (ITSC) is a typical fault in induction motors, which may
lead to severe winding damage or even burn the motor. However, ITSC detection faces …