相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。A weighting function for improvement of spectral coherence based envelope spectrum
Jeung-Hoon Lee
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2021)
Cyclostationary-based Multiband Envelope Spectra Extraction for bearing diagnostics: The Combined Improved Envelope Spectrum
Alexandre Mauricio et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2021)
Condition Monitoring of Wind Turbine Planetary Gearboxes Under Different Operating Conditions
Alexandre Mauricio et al.
JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER-TRANSACTIONS OF THE ASME (2020)
A Hybrid Prognostics Approach for Estimating Remaining Useful Life of Rolling Element Bearings
Biao Wang et al.
IEEE TRANSACTIONS ON RELIABILITY (2020)
Blind filters based on envelope spectrum sparsity indicators for bearing and gear vibration-based condition monitoring
Cedric Peeters et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2020)
Bearing diagnostics under strong electromagnetic interference based on Integrated Spectral Coherence
Alexandre Mauricio et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2020)
A methodology for identifying information rich frequency bands for diagnostics of mechanical components-of-interest under time-varying operating conditions
Stephan Schmidt et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2020)
Improved Envelope Spectrum via Feature Optimisation-gram (IESFOgram): A novel tool for rolling element bearing diagnostics under non-stationary operating conditions
Alexandre Mauricio et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2020)
A simple and fast guideline for generating enhanced/squared envelope spectra from spectral coherence for bearing fault diagnosis
Dong Wang et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2019)
A novel blind deconvolution method and its application to fault identification
Yao Cheng et al.
JOURNAL OF SOUND AND VIBRATION (2019)
Identification of mechanical compound-fault based on the improved parameter-adaptive variational mode decomposition
Yonghao Miao et al.
ISA TRANSACTIONS (2019)
Blind deconvolution based on cyclostationarity maximization and its application to fault identification
Marco Buzzoni et al.
JOURNAL OF SOUND AND VIBRATION (2018)
An enhanced morphology gradient product filter for bearing fault detection
Yifan Li et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2018)
The Autogram: An effective approach for selecting the optimal demodulation band in rolling element bearings diagnosis
Ali Moshrefzadeh et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2018)
Time-frequency analysis based on ensemble local mean decomposition and fast kurtogram for rotating machinery fault diagnosis
Lei Wang et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2018)
Fast computation of the spectral correlation
Jerome Antoni et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2017)
Bearing damage assessment using Jensen-Renyi Divergence based on EEMD
Jaskaran Singh et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2017)
Order-frequency analysis of machine signals
D. Abboud et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2017)
Wheel-bearing fault diagnosis of trains using empirical wavelet transform
Hongrui Cao et al.
MEASUREMENT (2016)
The infogram: Entropic evidence of the signature of repetitive transients
Jerome Antoni
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2016)
A review on empirical mode decomposition in fault diagnosis of rotating machinery
Yaguo Lei et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2013)
Rolling element bearing diagnostics-A tutorial
Robert B. Randall et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2011)
Cyclic spectral analysis of rolling-element bearing signals: Facts and fictions
J. Antoni
JOURNAL OF SOUND AND VIBRATION (2007)
Cyclic spectral analysis in practice
Jerome Antoni
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2007)
Fast computation of the kurtogram for the detection of transient faults
Jerome Antoni
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2007)
The relationship between spectral correlation and envelope analysis in the diagnostics of bearing faults and other cyclostationary machine signals
RB Randall et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2001)