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

Novel self-adaptive vibration signal analysis: concealed component decomposition and its application in bearing fault diagnosis

(2021) Prashant Tiwari et al.   JOURNAL OF SOUND AND VIBRATION

Optimal frequency band selection using blind and targeted features for spectral coherence-based bearing diagnostics: A comparative study

(2021) Bingyan Chen et al.   ISA TRANSACTIONS

Bearing diagnostics under strong electromagnetic interference based on Integrated Spectral Coherence

(2020) Alexandre Mauricio et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A methodology for identifying information rich frequency bands for diagnostics of mechanical components-of-interest under time-varying operating conditions

(2020) Stephan Schmidt et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Improved Envelope Spectrum via Feature Optimisation-gram (IESFOgram): A novel tool for rolling element bearing diagnostics under non-stationary operating conditions

(2020) Alexandre Mauricio et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Cyclostationary-based Multiband Envelope Spectra Extraction for bearing diagnostics: The Combined Improved Envelope Spectrum

(2020) Alexandre Mauricio et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Particle swarm optimization algorithm to solve the deconvolution problem for rolling element bearing fault diagnosis

(2019) Yao Cheng et al.   ISA TRANSACTIONS

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

(2019) Dong Wang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Condition Monitoring of Wind Turbine Planetary Gearboxes Under Different Operating Conditions

(2019) Alexandre Mauricio et al.   JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER-TRANSACTIONS OF THE ASME

A novel blind deconvolution method and its application to fault identification

(2019) Yao Cheng et al.   JOURNAL OF SOUND AND VIBRATION

Application of an improved minimum entropy deconvolution method for railway rolling element bearing fault diagnosis

(2018) Yao Cheng et al.   JOURNAL OF SOUND AND VIBRATION

Blind deconvolution based on cyclostationarity maximization and its application to fault identification

(2018) Marco Buzzoni et al.   JOURNAL OF SOUND AND VIBRATION

A robust detector for rolling element bearing condition monitoring based on the modulation signal bispectrum and its performance evaluation against the Kurtogram

(2018) Xiange Tian et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

The Autogram: An effective approach for selecting the optimal demodulation band in rolling element bearings diagnosis

(2018) Ali Moshrefzadeh et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Machinery health prognostics: A systematic review from data acquisition to RUL prediction

(2018) Yaguo Lei et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

VIBRATION BASED CONDITION MONITORING OF WIND TURBINE GEARBOXES BASED ON CYCLOSTATIONARY ANALYSIS

(2018) Alexandre Mauricio et al.   JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER-TRANSACTIONS OF THE ASME

A Hybrid Prognostics Approach for Estimating Remaining Useful Life of Rolling Element Bearings

(2018) Biao Wang et al.   IEEE TRANSACTIONS ON RELIABILITY

Minimum entropy deconvolution optimized sinusoidal synthesis and its application to vibration based fault detection

(2017) Gang Li et al.   JOURNAL OF SOUND AND VIBRATION

Multipoint Optimal Minimum Entropy Deconvolution and Convolution Fix: Application to vibration fault detection

(2017) Geoff L. McDonald et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Fast computation of the spectral correlation

(2017) Jérôme Antoni et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Optimised Spectral Kurtosis for bearing diagnostics under electromagnetic interference

(2016) Wade A. Smith et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

An extension of the infograms to novel Bayesian inference for bearing fault feature identification

(2016) Dong Wang   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

The infogram: Entropic evidence of the signature of repetitive transients

(2016) Jerome Antoni   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

The design of a new sparsogram for fast bearing fault diagnosis: Part 1 of the two related manuscripts that have a joint title as “Two automatic vibration-based fault diagnostic methods using the novel sparsity measurement – Parts 1 and 2”

(2013) Peter W. Tse et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Maximum correlated Kurtosis deconvolution and application on gear tooth chip fault detection

(2012) Geoff L. McDonald et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

An enhanced Kurtogram method for fault diagnosis of rolling element bearings

(2012) Dong Wang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Rolling element bearing diagnostics—A tutorial

(2010) Robert B. Randall et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A novel method for the optimal band selection for vibration signal demodulation and comparison with the Kurtogram

(2010) Tomasz Barszcz et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Cyclostationarity by examples

(2008) Jérôme Antoni   MECHANICAL SYSTEMS AND SIGNAL PROCESSING