A Critical Overview of the “Filterbank-Feature-Decision” Methodology in Machine Condition Monitoring
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
A Critical Overview of the “Filterbank-Feature-Decision” Methodology in Machine Condition Monitoring
Authors
Keywords
-
Journal
Acoustics Australia
Volume -, Issue -, Pages -
Publisher
Springer Science and Business Media LLC
Online
2021-04-29
DOI
10.1007/s40857-021-00232-7
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- New fault diagnosis approaches for detecting the bearing slight degradation
- (2020) Saeed Nezamivand Chegini et al. MECCANICA
- Blind filters based on envelope spectrum sparsity indicators for bearing and gear vibration-based condition monitoring
- (2020) Cédric Peeters et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- A Koopman operator approach for machinery health monitoring and prediction with noisy and low-dimensional industrial time series
- (2020) Cheng Cheng et al. NEUROCOMPUTING
- The sum of weighted normalized square envelope: A unified framework for kurtosis, negative entropy, Gini index and smoothness index for machine health monitoring
- (2020) Dong Wang et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- A comprehensive review on convolutional neural network in machine fault diagnosis
- (2020) Jinyang Jiao et al. NEUROCOMPUTING
- A Review of Early Fault Diagnosis Approaches and Their Applications in Rotating Machinery
- (2019) Wei et al. Entropy
- Physics-Based Convolutional Neural Network for Fault Diagnosis of Rolling Element Bearings
- (2019) Mohammadkazem Sadoughi et al. IEEE SENSORS JOURNAL
- A Step Toward Fault Type and Severity Characterization in Spur Gears
- (2019) I. Dadon et al. JOURNAL OF MECHANICAL DESIGN
- Self-running bearing diagnosis based on scalar indicator using fast order frequency spectral coherence
- (2019) Souhayb Kass et al. MEASUREMENT
- The spectral amplitude modulation: A nonlinear filtering process for diagnosis of rolling element bearings
- (2019) Ali Moshrefzadeh et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Optimal demodulation-band selection for envelope-based diagnostics: A comparative study of traditional and novel tools
- (2019) Wade A. Smith et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Blind deconvolution based on cyclostationarity maximization and its application to fault identification
- (2018) Marco Buzzoni et al. JOURNAL OF SOUND AND VIBRATION
- Spectral L2 / L1 norm: A new perspective for spectral kurtosis for characterizing non-stationary signals
- (2018) Dong Wang MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Artificial intelligence for fault diagnosis of rotating machinery: A review
- (2018) Ruonan Liu et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Dynamic modeling of gearbox faults: A review
- (2018) Xihui Liang et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Sparsity guided empirical wavelet transform for fault diagnosis of rolling element bearings
- (2018) Dong Wang et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Improved Dynamic Mode Decomposition and Its Application to Fault Diagnosis of Rolling Bearing
- (2018) Zhang Dang et al. SENSORS
- Adaptive online dictionary learning for bearing fault diagnosis
- (2018) Yanfei Lu et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- A statistical methodology for the design of condition indicators
- (2018) Jérôme Antoni et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Fault Diagnosis for a Wind Turbine Generator Bearing via Sparse Representation and Shift-Invariant K-SVD
- (2017) Boyuan Yang et al. IEEE Transactions on Industrial Informatics
- CS2 analysis in presence of non-Gaussian background noise – Effect on traditional estimators and resilience of log-envelope indicators
- (2017) P. Borghesani et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Fast computation of the spectral correlation
- (2017) Jérôme Antoni et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Adaptive Mode Decomposition Methods and Their Applications in Signal Analysis for Machinery Fault Diagnosis: A Review With Examples
- (2017) Zhipeng Feng et al. IEEE Access
- The spectral analysis of cyclo-non-stationary signals
- (2016) D. Abboud et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Deep neural networks: A promising tool for fault characteristic mining and intelligent diagnosis of rotating machinery with massive data
- (2016) Feng Jia et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Spectral kurtosis for fault detection, diagnosis and prognostics of rotating machines: A review with applications
- (2016) Yanxue Wang et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Understanding deep convolutional networks
- (2016) Stéphane Mallat PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES
- Weak Fault Feature Extraction of Rolling Bearings Based on an Improved Kurtogram
- (2016) Xianglong Chen et al. SENSORS
- On the use of cyclostationary indicators in IC engine quality control by cold tests
- (2015) S. Delvecchio et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Rolling element bearing diagnostics using the Case Western Reserve University data: A benchmark study
- (2015) Wade A. Smith et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- A Review of Planetary and Epicyclic Gear Dynamics and Vibrations Research
- (2014) Christopher G. Cooley et al. Applied Mechanics Reviews
- Variational Mode Decomposition
- (2014) Konstantin Dragomiretskiy et al. IEEE TRANSACTIONS ON SIGNAL PROCESSING
- Early damage detection of roller bearings using wavelet packet decomposition, ensemble empirical mode decomposition and support vector machine
- (2014) A. Tabrizi et al. MECCANICA
- Selection of informative frequency band in local damage detection in rotating machinery
- (2014) Jakub Obuchowski et al. 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
- The relationship between kurtosis- and envelope-based indexes for the diagnostic of rolling element bearings
- (2013) P. Borghesani et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Wavelets for fault diagnosis of rotary machines: A review with applications
- (2013) Ruqiang Yan et al. SIGNAL PROCESSING
- Modeling of probability distribution functions for automatic threshold calculation in condition monitoring systems
- (2012) A. Jablonski et al. MEASUREMENT
- Detection of signal component modulations using modulation intensity distribution
- (2012) Jacek Urbanek 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
- A review on empirical mode decomposition in fault diagnosis of rotating machinery
- (2012) Yaguo Lei et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Hilbert transform in vibration analysis
- (2011) Michael Feldman MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- The synchronous (time domain) average revisited
- (2011) S. Braun MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Application of an improved kurtogram method for fault diagnosis of rolling element bearings
- (2011) Yaguo Lei et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Natural computing for mechanical systems research: A tutorial overview
- (2010) Keith Worden 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
- Indicators of cyclostationarity: Theory and application to gear fault monitoring
- (2007) Amani Raad et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search