Attention-based deep meta-transfer learning for few-shot fine-grained fault diagnosis
Deep learning-based fault diagnosis methods have made tremendous progress in recent
years; however, most of these methods are coarse grained and data demanding that cannot …
years; however, most of these methods are coarse grained and data demanding that cannot …
Modified varying index coefficient autoregression model for representation of the nonstationary vibration from a planetary gearbox
Planetary gearbox fault detection is important in terms of life-threatening failure prevention
and maintenance optimization. This article focuses on the representation of the planetary …
and maintenance optimization. This article focuses on the representation of the planetary …
Product envelope spectrum optimization-gram: An enhanced envelope analysis for rolling bearing fault diagnosis
The vibration signal of a faulty rolling bearing exhibits typical non-stationarity–often in the
form of cyclostationarity. The spectrum tools often used to characterize cyclostationarity …
form of cyclostationarity. The spectrum tools often used to characterize cyclostationarity …
Conditional feature disentanglement learning for anomaly detection in machines operating under time-varying conditions
Anomaly detection (AD) is an important task of machines' condition monitoring (CM). Data-
driven policies can be used in a more intelligent way to achieve anomaly detection and …
driven policies can be used in a more intelligent way to achieve anomaly detection and …
Feature-level consistency regularized Semi-supervised scheme with data augmentation for intelligent fault diagnosis under small samples
T Zhang, C Li, J Chen, S He, Z Zhou - Mechanical Systems and Signal …, 2023 - Elsevier
Intelligent fault diagnosis based on machine learning has yielded a wealth of research
results. However, fault diagnosis under small samples is still a challenging problem due to …
results. However, fault diagnosis under small samples is still a challenging problem due to …
A novel spectral coherence-based weighted envelope spectrum analysis method for bearing fault diagnosis
L Cui, X Zhao, D Liu, H Wang - Structural Health Monitoring, 2024 - journals.sagepub.com
Spectral coherence (SCoh) consists of spectral and cyclic frequencies and exhibits unique
merits in simultaneously revealing the resonance frequency band and the fault characteristic …
merits in simultaneously revealing the resonance frequency band and the fault characteristic …
Enhanced bearing fault diagnosis using integral envelope spectrum from spectral coherence normalized with feature energy
Enhanced envelope spectrum (EES) and improved envelope spectrum (IES) generated from
spectral coherence (SCoh) are proven to be more robust fault detection tools than squared …
spectral coherence (SCoh) are proven to be more robust fault detection tools than squared …
Cyclomap: A new phase-cycle analysis to study the kinematics of gears and bearings
The object of this paper is to propose a new phase-cycle analysis for gear and bearing
diagnostics of rotating machinery which synthesises the theory of angle-time cyclostationary …
diagnostics of rotating machinery which synthesises the theory of angle-time cyclostationary …
Normal Sinkhorn Distance: A novel metric for evaluating generated signals and its application in mechanical fault diagnosis
Nowadays, leveraging data augmentation-based methods to address the data-shortage
problem in diagnosis field becomes fairly prevailing, while assessing the quality of the …
problem in diagnosis field becomes fairly prevailing, while assessing the quality of the …
Dynamic modeling, analysis, and experimental study of ball screw pairs with nut spalling faults in electromechanical actuators
Z Yin, Y Yang, G Shen, Y Li, L Huang, N Hu - Mechanical Systems and …, 2023 - Elsevier
Condition monitoring and fault diagnosis on electromechanical actuators (EMAs) have
gradually become a research hotspot in the field of aviation, but few studies have examined …
gradually become a research hotspot in the field of aviation, but few studies have examined …