A review of stochastic resonance in rotating machine fault detection

S Lu, Q He, J Wang - Mechanical Systems and Signal Processing, 2019 - Elsevier
Condition-based monitoring and machine fault detection play important roles in industry as
they can ensure safety and reduce breakdown loss. Weak signal detection is an essential …

Basic research on machinery fault diagnostics: Past, present, and future trends

X Chen, S Wang, B Qiao, Q Chen - Frontiers of Mechanical Engineering, 2018 - Springer
Machinery fault diagnosis has progressed over the past decades with the evolution of
machineries in terms of complexity and scale. High-value machineries require condition …

Bearing fault diagnosis via generalized logarithm sparse regularization

Z Zhang, W Huang, Y Liao, Z Song, J Shi… - … Systems and Signal …, 2022 - Elsevier
Bearing fault is the most common causes of rotating machinery failure. Therefore, accurate
bearing fault identification technique is of tremendous significance. Vibration monitoring has …

A coarse-to-fine decomposing strategy of VMD for extraction of weak repetitive transients in fault diagnosis of rotating machines

X Jiang, J Wang, J Shi, C Shen, W Huang… - Mechanical Systems and …, 2019 - Elsevier
Abstract Variational Mode Decomposition (VMD) has attracted much attention and been
used to analyze different kinds of signals, such as mechanical signals, medical data, and …

Initial center frequency-guided VMD for fault diagnosis of rotating machines

X Jiang, C Shen, J Shi, Z Zhu - Journal of Sound and Vibration, 2018 - Elsevier
Variational mode decomposition (VMD), an effective signal decomposing technique, has
attracted considerable attention in recent years. The successful applicability of the VMD …

Time-reassigned multisynchrosqueezing transform for bearing fault diagnosis of rotating machinery

G Yu, T Lin, Z Wang, Y Li - IEEE Transactions on Industrial …, 2020 - ieeexplore.ieee.org
The impulse features in a condition monitoring (CM) signal usually imply the occurrence of a
defect in a rotating machine. To accurately capture the impulse components in a CM signal …

Variable-scale evolutionary adaptive mode denoising in the application of gearbox early fault diagnosis

R Liu, X Ding, Y Zhang, M Zhang, Y Shao - Mechanical Systems and Signal …, 2023 - Elsevier
Due to the influence of gearbox structure complexity, vibration signals are always corrupted
by heavy multiscale noise interference distributed in modulation frequency bands, which …

[HTML][HTML] Intelligent condition monitoring method for bearing faults from highly compressed measurements using sparse over-complete features

HOA Ahmed, MLD Wong, AK Nandi - Mechanical Systems and Signal …, 2018 - Elsevier
Condition classification of rolling element bearings in rotating machines is important to
prevent the breakdown of industrial machinery. A considerable amount of literature has …

Multi-source fidelity sparse representation via convex optimization for gearbox compound fault diagnosis

W Huang, Z Song, C Zhang, J Wang, J Shi… - Journal of Sound and …, 2021 - Elsevier
Industrial automatic control systems have high requirements for manufacturing accuracy,
which are often adversely affected by the compound fault of rotating machinery such as …

Improved shift-invariant sparse parsing of mechanical fault based on feature atom

C Han, W Lu, L Cui, L Song… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In complex operating conditions, the monitoring signals of mechanical equipment are
susceptible to interference from multiple vibration sources and environmental noise …