Construction of health indicators for condition monitoring of rotating machinery: A review of the research
The condition monitoring (CM) of rotating machinery (RM) is an essential operation for
improving the reliability of mechanical systems. For this purpose, an efficient CM method that …
improving the reliability of mechanical systems. For this purpose, an efficient CM method that …
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 …
[HTML][HTML] A review on wind turbines gearbox fault diagnosis methods
H Gu, WY Liu, QW Gao, Y Zhang - Journal of Vibroengineering, 2021 - extrica.com
As an renewable and clean energy of the world, wind energy has gained more and more
attention and its fault diagnosis becomes more and more important. The gearbox, as the …
attention and its fault diagnosis becomes more and more important. The gearbox, as the …
An improved envelope spectrum via candidate fault frequency optimization-gram for bearing fault diagnosis
Early fault identification of the rolling element bearings remains difficult because the
repetitive transient signature generated via localized incipient damage is easily submerged …
repetitive transient signature generated via localized incipient damage is easily submerged …
High-order synchroextracting transform for characterizing signals with strong AM-FM features and its application in mechanical fault diagnosis
In this paper, a novel time–frequency analysis (TFA) technique termed High-order
Synchroextracting Transform (HSET), is proposed to better characterize the changing …
Synchroextracting Transform (HSET), is proposed to better characterize the changing …
Weighted envelope spectrum based on the spectral coherence for bearing diagnosis
The key idea behind demodulation analysis for bearing diagnosis is to determine the fault-
induced frequency band and directly detect the potential bearing fault characteristic …
induced frequency band and directly detect the potential bearing fault characteristic …
Optimal frequency band selection using blind and targeted features for spectral coherence-based bearing diagnostics: A comparative study
Identifying a spectral frequency band with abundant fault information from spectral
coherence is essential for improved envelope spectrum-based bearing diagnosis. Both blind …
coherence is essential for improved envelope spectrum-based bearing diagnosis. Both blind …
A performance enhanced time-varying morphological filtering method for bearing fault diagnosis
Fault feature extraction and broadband noise elimination are the keys to weak bearing fault
diagnosis. Morphological filtering is a typical fault feature extraction method. However, the …
diagnosis. Morphological filtering is a typical fault feature extraction method. However, the …
An informative frequency band identification framework for gearbox fault diagnosis under time-varying operating conditions
The application of informative frequency band identification methods makes it possible to
enhance weak damage components in the vibration signals acquired from rotating …
enhance weak damage components in the vibration signals acquired from rotating …
Non-negative tensor factorization for vibration-based local damage detection
In this study, a novel non-negative tensor factorization (NTF)-based method for vibration-
based local damage detection in rolling element bearings is proposed. As the diagnostic …
based local damage detection in rolling element bearings is proposed. As the diagnostic …