Review on recent advances in structural health monitoring paradigm for looseness detection in bolted assemblies

N Chelimilla, V Chinthapenta… - Structural Health …, 2023 - journals.sagepub.com
The integrity of bolted joints is still a challenging problem owing to the gross or localized slip
at the interfacial surfaces of the joints when subjected to external disturbances such as …

Fault diagnosis of planetary gears based on intrinsic feature extraction and deep transfer learning

H Li, Y Lv, R Yuan, Z Dang, Z Cai… - … Science and Technology, 2022 - iopscience.iop.org
The planetary gearbox is a key transmission apparatus used to change speed and torque.
The planetary gear is one of the most failure-prone components in a planetary gearbox. Due …

An intelligent fault diagnosis method of rolling bearings via variational mode decomposition and common spatial pattern-based feature extraction

Z Li, Y Lv, R Yuan, Q Zhang - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
Monitoring and identifying the health condition of rolling bearings can reduce the risk of
mechanical equipment failure. This paper proposes a novel intelligent diagnosis method of …

ResNet-integrated very early bolt looseness monitoring based on intrinsic feature extraction of percussion sounds

R Yuan, Y Lv, S Xu, L Li, Q Kong… - Smart Materials and …, 2023 - iopscience.iop.org
Very early bolt looseness monitoring has been a challenge in the field of structural health
monitoring. The authors have conducted a further study of the previous researches, with the …

A novel damage index integrating piezoelectric impedance and ultrasonic guided wave for damage monitoring of bolted joints

W Liao, H Sun, Y Wang, X Qing - Structural Health …, 2023 - journals.sagepub.com
The structural safety of bolted joints, one of the typical connection techniques utilized in
engineering applications, is threatened by the harsh service environment. Herein, a novel …

A novel multivariate cutting force-based tool wear monitoring method using one-dimensional convolutional neural network

X Yang, R Yuan, Y Lv, L Li, H Song - Sensors, 2022 - mdpi.com
Tool wear condition monitoring during the machining process is one of the most important
considerations in precision manufacturing. Cutting force is one of the signals that has been …

Tool wear condition monitoring method based on deep learning with force signals

Y Zhang, X Qi, T Wang, Y He - Sensors, 2023 - mdpi.com
Tool wear condition monitoring is an important component of mechanical processing
automation, and accurately identifying the wear status of tools can improve processing …

A unified nonlinear dynamic model for bolted flange joint disk-drum structures under different interface states: theory and experiment

WC Xing, YQ Wang - Applied Mathematical Modelling, 2025 - Elsevier
Bolted flange joint disk-drum structures (BFJDDSs) are key components in aero-engines,
however, bolt looseness inevitably occurs due to extreme service conditions. This can cause …

An efficient robotic-assisted bolt-ball joint looseness monitoring approach using CBAM-enhanced lightweight ResNet

L Li, R Yuan, Y Lv, S Xu, H Hu… - Smart Materials and …, 2023 - iopscience.iop.org
Bolt-ball joints are widely used in space structures, and their looseness may lead to major
safety accidents. The current bolt monitoring methods based on deep learning usually have …

Vibration acoustic modulation for bolt looseness monitoring based on frequency-swept excitation and bispectrum

N Zhao, H Linsheng, G Song - Smart Materials and Structures, 2023 - iopscience.iop.org
The monitoring of bolt looseness is crucial to ensure the safety and reliability of structures.
Prior studies have demonstrated that the vibro-acoustic modulation (VAM) method based on …