Noise subtraction and marginal enhanced square envelope spectrum (MESES) for the identification of bearing defects in centrifugal and axial pump
The natural intermittent impulses created by impeller in case of centrifugal pump, and
reciprocating motions of piston in case of axial pump exhibit strong cyclo-stationary …
reciprocating motions of piston in case of axial pump exhibit strong cyclo-stationary …
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 …
Motor current signature analysis using robust modulation spectrum correlation gram for gearbox fault detection
Spectrum correlation (SC), as a typical demodulation algorithm, has been investigated for
fault extraction by restraining interference components. However, SC ignores the uneven …
fault extraction by restraining interference components. However, SC ignores the uneven …
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 …
Real-time damage analysis of 2D C/SiC composite based on spectral characters of acoustic emission signals using pattern recognition
X Zeng, H Shao, R Pan, B Wang, Q Deng, C Zhang… - Acta Mechanica …, 2022 - Springer
In this study, unsupervised and supervised pattern recognition were implemented in
combination to achieve real-time health monitoring. Unsupervised recognition (k-means++) …
combination to achieve real-time health monitoring. Unsupervised recognition (k-means++) …
IESMGCFFOgram: A new method for multicomponent vibration signal demodulation and rolling bearing fault diagnosis
T Chen, L Guo, T Feng, H Gao, Y Yu - Mechanical Systems and Signal …, 2023 - Elsevier
Resonance demodulation of vibration signals is an essential strategy for rolling bearing fault
diagnosis. However, most resonance demodulation methods focus on searching for only …
diagnosis. However, most resonance demodulation methods focus on searching for only …
Optimal noise subtraction-based fault components extraction for machinery fault diagnosis
Fault components extraction is crucial to machinery fault diagnosis (MFD). As of today, most
existing fault components extraction methods cannot provide an optimal estimation of fault …
existing fault components extraction methods cannot provide an optimal estimation of fault …
Enhanced spectral coherence and its application to bearing fault diagnosis
Y Cheng, B Chen, W Zhang - Measurement, 2022 - Elsevier
Spectral coherence (SCoh) is one of the most dedicated methods for characterizing the
second-order cyclostationarity of bearing faults. Under the assumption of second-order …
second-order cyclostationarity of bearing faults. Under the assumption of second-order …
Weighted envelope spectrum based on reselection mechanism and its application in bearing fault diagnosis
Y Zhang, B Huang - Measurement Science and Technology, 2023 - iopscience.iop.org
As a powerful algorithm, fast spectral correlation (Fast-SC) is widely used in bearing fault
diagnosis. However, the interference of strong background noise and the existence of …
diagnosis. However, the interference of strong background noise and the existence of …
An adaptive time–frequency demodulation method and its applications in rolling bearing fault diagnosis
H Yang, K Zhang, Z Jiang, X Zhang… - … Science and Technology, 2023 - iopscience.iop.org
Rolling bearings are critical and easily damaged components of mechanical equipment. In
practical engineering applications, the collected signals typically contain a large amount of …
practical engineering applications, the collected signals typically contain a large amount of …