A weighting function for improvement of spectral coherence based envelope spectrum

JH Lee - Mechanical systems and signal processing, 2021 - Elsevier
Envelope analysis plays an essential role in fault diagnostics of rotating machinery. One
popular method to attain the envelope spectrum is to integrate the spectral coherence over a …

A simple and fast guideline for generating enhanced/squared envelope spectra from spectral coherence for bearing fault diagnosis

D Wang, X Zhao, LL Kou, Y Qin, Y Zhao… - Mechanical Systems and …, 2019 - Elsevier
Rolling element bearings are widely used in machines to support rotating shafts and their
health conditions degrade over time due to harsh working conditions. Once a fault occurs on …

The anomalous and smoothed anomalous envelope spectra for rotating machine fault diagnosis

S Schmidt, KC Gryllias - Mechanical systems and signal processing, 2021 - Elsevier
The order-frequency spectral coherence and its integrated spectra (eg improved envelope
spectrum, squared envelope spectrum) are some of the most powerful methods for …

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 …

A methodology using the spectral coherence and healthy historical data to perform gearbox fault diagnosis under varying operating conditions

S Schmidt, PS Heyns, KC Gryllias - Applied Acoustics, 2020 - Elsevier
Condition monitoring is usually performed over long periods of time when critical rotating
machines such as wind turbine gearboxes are monitored. There are many potential signal …

Product envelope spectrum optimization-gram: An enhanced envelope analysis for rolling bearing fault diagnosis

B Chen, W Zhang, JX Gu, D Song, Y Cheng… - … Systems and Signal …, 2023 - Elsevier
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 …

Spectrum auto-correlation analysis and its application to fault diagnosis of rolling element bearings

AB Ming, ZY Qin, W Zhang, FL Chu - Mechanical Systems and Signal …, 2013 - Elsevier
Bearing failure is one of the most common reasons of machine breakdowns and accidents.
Therefore, the fault diagnosis of rolling element bearings is of great significance to the safe …

An improved envelope spectrum via candidate fault frequency optimization-gram for bearing fault diagnosis

Y Cheng, S Wang, B Chen, G Mei, W Zhang… - Journal of Sound and …, 2022 - Elsevier
Early fault identification of the rolling element bearings remains difficult because the
repetitive transient signature generated via localized incipient damage is easily submerged …

Vibration-based condition monitoring of wind turbine gearboxes based on cyclostationary analysis

A Mauricio, J Qi, K Gryllias - … of Engineering for …, 2019 - asmedigitalcollection.asme.org
Wind industry experiences a tremendous growth during the last few decades. As of the end
of 2016, the worldwide total installed electricity generation capacity from wind power …

Improved local cepstrum and its applications for gearbox and rolling bearing fault detection

X Zhang, R Zhou, W Zhang - Measurement Science and …, 2019 - iopscience.iop.org
Cepstrum is a kind of powerful and widely used method in the fields of speech signal
processing, echo signal detection, building acoustics, seismic analysis, condition monitoring …