Noise subtraction and marginal enhanced square envelope spectrum (MESES) for the identification of bearing defects in centrifugal and axial pump

A Kumar, H Tang, G Vashishtha, J Xiang - Mechanical Systems and Signal …, 2022 - Elsevier
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 …

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 …

Motor current signature analysis using robust modulation spectrum correlation gram for gearbox fault detection

J Guo, Q He, D Zhen, F Gu - IEEE Transactions on Industrial …, 2023 - ieeexplore.ieee.org
Spectrum correlation (SC), as a typical demodulation algorithm, has been investigated for
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

B Chen, Y Cheng, W Zhang, F Gu - Measurement, 2022 - Elsevier
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 …

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++) …

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 …

Optimal noise subtraction-based fault components extraction for machinery fault diagnosis

B Hou, D Wang - IEEE Transactions on Instrumentation and …, 2023 - ieeexplore.ieee.org
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 …

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 …

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 …

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 …