A review on the application of blind deconvolution in machinery fault diagnosis
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Title
A review on the application of blind deconvolution in machinery fault diagnosis
Authors
Keywords
Blind deconvolution, Machinery fault diagnosis, Signal processing, Feature extraction
Journal
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
Volume 163, Issue -, Pages 108202
Publisher
Elsevier BV
Online
2021-07-13
DOI
10.1016/j.ymssp.2021.108202
References
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Note: Only part of the references are listed.- Period-oriented multi-hierarchy deconvolution and its application for bearing fault diagnosis
- (2021) Yonghao Miao et al. ISA TRANSACTIONS
- Extracting cyclo-stationarity of repetitive transients from envelope spectrum based on prior-unknown blind deconvolution technique
- (2021) Liu He et al. SIGNAL PROCESSING
- Adaptive maximum second-order cyclostationarity blind deconvolution and its application for locomotive bearing fault diagnosis
- (2021) Boyao Zhang et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Rolling element bearing fault identification using a novel three-step adaptive and automated filtration scheme based on Gini index
- (2020) Muhammad N. Albezzawy et al. ISA TRANSACTIONS
- Weak fault detection method of rolling bearing based on testing signal far away from fault source
- (2020) Zhiyuan He et al. Journal of Mechanical Science and Technology
- Weak fault detection for wind turbine bearing based on ACYCBD and IESB
- (2020) Xiaolong Wang et al. Journal of Mechanical Science and Technology
- Enhanced Characteristic Vibration Signal Detection of Generator Based on Time-Wavelet Energy Spectrum and Multipoint Optimal Minimum Entropy Deconvolution Adjusted Method
- (2020) Yu-Ling He et al. MATHEMATICAL PROBLEMS IN ENGINEERING
- 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
- Compound fault diagnosis of rolling element bearings using multipoint sparsity–multipoint optimal minimum entropy deconvolution adjustment and adaptive resonance-based signal sparse decomposition
- (2020) Ji Fan et al. JOURNAL OF VIBRATION AND CONTROL
- Research on sparsity indexes for fault diagnosis of rotating machinery
- (2020) Yonghao Miao et al. MEASUREMENT
- Blind deconvolution assisted with periodicity detection techniques and its application to bearing fault feature enhancement
- (2020) Bingyan Chen et al. MEASUREMENT
- Minimum Correlated Generalized Lp/Lq Deconvolution for Recovering Repetitive Impacts From a Vibration Mixture
- (2020) Liu He et al. IEEE SENSORS JOURNAL
- Optimized minimum generalized Lp/Lq deconvolution for recovering repetitive impacts from a vibration mixture
- (2020) Liu He et al. MEASUREMENT
- Maximum average kurtosis deconvolution and its application for the impulsive fault feature enhancement of rotating machinery
- (2020) Kaixuan Liang 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
- Fault feature extraction of planet gear tooth crack based on impulsive feature enhancement by MOMEDA
- (2019) Chao Li et al. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS
- Acoustic microscopy signal processing method for detecting near-surface defects in metal materials
- (2019) Min Li et al. NDT & E INTERNATIONAL
- A minimum entropy deconvolution-enhanced convolutional neural networks for fault diagnosis of axial piston pumps
- (2019) Shuhui Wang et al. SOFT COMPUTING
- Fault Feature Extraction and Enhancement of Rolling Element Bearings Based on Maximum Correlated Kurtosis Deconvolution and Improved Empirical Wavelet Transform
- (2019) Zheng Li et al. Applied Sciences-Basel
- Planet bearing fault diagnosis using multipoint Optimal Minimum Entropy Deconvolution Adjusted
- (2019) Haoqun Ma et al. JOURNAL OF SOUND AND VIBRATION
- Application of improved MCKD method based on QGA in planetary gear compound fault diagnosis
- (2019) Xuan Lyu et al. MEASUREMENT
- Vibration based condition monitoring and fault diagnosis of wind turbine planetary gearbox: A review
- (2019) Tianyang Wang et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Adaptive Kurtogram and its applications in rolling bearing fault diagnosis
- (2019) Yonggang Xu et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Application of a Novel Adaptive Med Fault Diagnosis Method in Gearboxes
- (2019) Wenhua Du et al. Entropy
- A novel blind deconvolution method and its application to fault identification
- (2019) Yao Cheng et al. JOURNAL OF SOUND AND VIBRATION
- Detection for weak fault in planetary gear trains based on an improved maximum correlation kurtosis deconvolution
- (2019) Jianqun Zhang et al. MEASUREMENT SCIENCE and TECHNOLOGY
- Application of an improved MCKDA for fault detection of wind turbine gear based on encoder signal
- (2019) Yonghao Miao et al. RENEWABLE ENERGY
- Adaptive Multipoint Optimal Minimum Entropy Deconvolution Adjusted and Application to Fault Diagnosis of Rolling Element Bearings
- (2019) Yao Cheng et al. IEEE SENSORS JOURNAL
- A modified variational mode decomposition method based on envelope nesting and multi-criteria evaluation
- (2019) Yujie Zhao et al. JOURNAL OF SOUND AND VIBRATION
- Transient extraction based on minimax concave regularized sparse representation for gear fault diagnosis
- (2019) Weiguo Huang et al. MEASUREMENT
- A novel compound fault diagnosis method using intrinsic component filtering
- (2019) Zongzhen Zhang et al. MEASUREMENT SCIENCE and TECHNOLOGY
- Aero-engine bearing fault detection: A clustering low-rank approach
- (2019) Han Zhang et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- A New Compound Fault Feature Extraction Method Based on Multipoint Kurtosis and Variational Mode Decomposition
- (2018) Wenan Cai et al. Entropy
- Health Assessment of Rotating Machinery Using a Rotary Encoder
- (2018) Ming Zhao et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Convolutional Sparse Learning for Blind Deconvolution and Application on Impulsive Feature Detection
- (2018) Zhaohui Du et al. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
- 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
- Rolling bearing fault diagnosis based on improved complete ensemble empirical mode of decomposition with adaptive noise combined with minimum entropy deconvolution
- (2018) Abdelkader Rabah et al. Journal of Vibroengineering
- Investigation assembly state of spindle bearing based on improved maximum correlated kurtosis deconvolution and support vector machine
- (2018) Xiaohu Li et al. Journal of Vibroengineering
- A new l 0 -norm embedded MED method for roller element bearing fault diagnosis at early stage of damage
- (2018) Xingxing Jiang et al. MEASUREMENT
- Some further thoughts about spectral kurtosis, spectral L2 / L1 norm, spectral smoothness index and spectral Gini index for characterizing repetitive transients
- (2018) Dong Wang MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Sparse filtering with the generalized lp / lq norm and its applications to the condition monitoring of rotating machinery
- (2018) Xiaodong Jia et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- A parameter-adaptive VMD method based on grasshopper optimization algorithm to analyze vibration signals from rotating machinery
- (2018) Xin Zhang et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Multi-Fault Diagnosis of Gearbox Based on Improved Multipoint Optimal Minimum Entropy Deconvolution
- (2018) Fuhe Yang et al. Entropy
- Initial center frequency-guided VMD for fault diagnosis of rotating machines
- (2018) Xingxing Jiang et al. JOURNAL OF SOUND AND VIBRATION
- Compound faults diagnosis of rotating machinery based on adaptive maximum correlated kurtosis deconvolution and customized multiwavelets transform
- (2018) Lianhuan Hong et al. MEASUREMENT SCIENCE and TECHNOLOGY
- Application of an Improved Multipoint Optimal Minimum Entropy Deconvolution Adjusted for Gearbox Composite Fault Diagnosis
- (2018) Wenan Cai et al. SENSORS
- Multi-objective iterative optimization algorithm based optimal wavelet filter selection for multi-fault diagnosis of rolling element bearings
- (2018) Chuancang Ding et al. ISA TRANSACTIONS
- Identification of mechanical compound-fault based on the improved parameter-adaptive variational mode decomposition
- (2018) Yonghao Miao et al. ISA TRANSACTIONS
- Minimum entropy deconvolution based on simulation-determined band pass filter to detect faults in axial piston pump bearings
- (2018) Shuhui Wang et al. ISA TRANSACTIONS
- Incipient fault detection of rolling bearing using maximum autocorrelation impulse harmonic to noise deconvolution and parameter optimized fast EEMD
- (2018) Kai Zheng et al. ISA TRANSACTIONS
- Weak Fault Diagnosis of Wind Turbine Gearboxes Based on MED-LMD
- (2017) et al. Entropy
- Application of Bandwidth EMD and Adaptive Multiscale Morphology Analysis for Incipient Fault Diagnosis of Rolling Bearings
- (2017) Yongbo Li et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Fault diagnosis for wind turbine planetary ring gear via a meshing resonance based filtering algorithm
- (2017) Tianyang Wang et al. ISA TRANSACTIONS
- Incipient Bearing Fault Feature Extraction Based on Minimum Entropy Deconvolution and K-Singular Value Decomposition
- (2017) Guangming Dong et al. JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME
- Investigation on the kurtosis filter and the derivation of convolutional sparse filter for impulsive signature enhancement
- (2017) Xiaodong Jia et al. JOURNAL OF SOUND AND VIBRATION
- Minimum entropy deconvolution optimized sinusoidal synthesis and its application to vibration based fault detection
- (2017) Gang Li et al. JOURNAL OF SOUND AND VIBRATION
- Rolling bearing fault diagnosis based on time-delayed feedback monostable stochastic resonance and adaptive minimum entropy deconvolution
- (2017) Jimeng Li et al. JOURNAL OF SOUND AND VIBRATION
- Mine gearbox fault diagnosis based on multiwavelets and maximum correlated kurtosis deconvolution
- (2017) Chenxu Luo et al. Journal of Vibroengineering
- Improvement of kurtosis-guided-grams via Gini index for bearing fault feature identification
- (2017) Yonghao Miao et al. MEASUREMENT SCIENCE and TECHNOLOGY
- A novel strategy for signal denoising using reweighted SVD and its applications to weak fault feature enhancement of rotating machinery
- (2017) Ming Zhao et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Application of an improved maximum correlated kurtosis deconvolution method for fault diagnosis of rolling element bearings
- (2017) Yonghao Miao et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Multipoint Optimal Minimum Entropy Deconvolution and Convolution Fix: Application to vibration fault detection
- (2017) Geoff L. McDonald et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- A geometrical investigation on the generalized l p /l q norm for blind deconvolution
- (2017) Xiaodong Jia et al. SIGNAL PROCESSING
- Current-Aided Order Tracking of Vibration Signals for Bearing Fault Diagnosis of Direct-Drive Wind Turbines
- (2016) Jun Wang et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- A Novel Bearing Condition Monitoring Method in Induction Motors Based on Instantaneous Frequency of Motor Voltage
- (2016) Fardin Dalvand et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- A hybrid fault diagnosis method based on second generation wavelet de-noising and local mean decomposition for rotating machinery
- (2016) Zhiwen Liu et al. ISA TRANSACTIONS
- Diagnosis of compound faults of rolling bearings through adaptive maximum correlated kurtosis deconvolution
- (2016) Guiji Tang et al. Journal of Mechanical Science and Technology
- EEMD-based multiscale ICA method for slewing bearing fault detection and diagnosis
- (2016) Matej Žvokelj et al. JOURNAL OF SOUND AND VIBRATION
- A new SKRgram based demodulation technique for planet bearing fault detection
- (2016) Tianyang Wang et al. JOURNAL OF SOUND AND VIBRATION
- Fault feature extraction of rolling element bearings using sparse representation
- (2016) Guolin He et al. JOURNAL OF SOUND AND VIBRATION
- A new fault diagnosis algorithm for helical gears rotating at low speed using an optical encoder
- (2016) Yimin Shao et al. MEASUREMENT
- Sparse maximum harmonics-to-noise-ratio deconvolution for weak fault signature detection in bearings
- (2016) Yonghao Miao et al. MEASUREMENT SCIENCE and TECHNOLOGY
- A new rolling bearing fault diagnosis method based on GFT impulse component extraction
- (2016) Lu Ou 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
- Identification of multiple faults in rotating machinery based on minimum entropy deconvolution combined with spectral kurtosis
- (2016) Dan He et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Wavelet transform based on inner product in fault diagnosis of rotating machinery: A review
- (2016) Jinglong Chen et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Kurtosis based weighted sparse model with convex optimization technique for bearing fault diagnosis
- (2016) Han Zhang 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
- The infogram: Entropic evidence of the signature of repetitive transients
- (2016) Jerome Antoni MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Generator bearing fault diagnosis for wind turbine via empirical wavelet transform using measured vibration signals
- (2016) Jinglong Chen et al. RENEWABLE ENERGY
- Current-Based Detection of Mechanical Unbalance in an Induction Machine Using Spectral Kurtosis With Reference
- (2015) Etienne Fournier et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Dual-Impulse Response Model for the Acoustic Emission Produced by a Spall and the Size Evaluation in Rolling Element Bearings
- (2015) An-bo Ming et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- An extensive review of vibration modelling of rolling element bearings with localised and extended defects
- (2015) Sarabjeet Singh et al. JOURNAL OF SOUND AND VIBRATION
- SVD principle analysis and fault diagnosis for bearings based on the correlation coefficient
- (2015) Zijian Qiao et al. MEASUREMENT SCIENCE and TECHNOLOGY
- Research on variational mode decomposition and its application in detecting rub-impact fault of the rotor system
- (2015) Yanxue Wang et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- A Novel Fault Diagnosis Method for Rotating Machinery Based on EEMD and MCKD
- (2015) Z.-L. Lv et al. International Journal of Simulation Modelling
- A hybrid method combining Teager Kaiser energy operator, empirical mode decomposition and minimum entropy deconvolution for monitoring gears damages
- (2015) Mourad Kedadouche et al. Mechanics & Industry
- Fault identification of rotor-bearing system based on ensemble empirical mode decomposition and self-zero space projection analysis
- (2014) Fan Jiang et al. JOURNAL OF SOUND AND VIBRATION
- Sparse representation based latent components analysis for machinery weak fault detection
- (2014) Haifeng Tang et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- A fault diagnosis method based on local mean decomposition and multi-scale entropy for roller bearings
- (2014) Huanhuan Liu et al. MECHANISM AND MACHINE THEORY
- 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
- Fault Detection Enhancement in Rolling Element Bearings Using the Minimum Entropy Deconvolution
- (2012) Tomasz Barszcz et al. Archives of Acoustics
- Continuous-scale mathematical morphology-based optimal scale band demodulation of impulsive feature for bearing defect diagnosis
- (2012) Chuan Li et al. JOURNAL OF SOUND AND VIBRATION
- Vibration signal models for fault diagnosis of planetary gearboxes
- (2012) Zhipeng Feng et al. JOURNAL OF SOUND AND VIBRATION
- Maximum correlated Kurtosis deconvolution and application on gear tooth chip fault detection
- (2012) Geoff L. McDonald 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
- Cyclostationarity of Acoustic Emissions (AE) for monitoring bearing defects
- (2011) B. Kilundu et al. 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
- regularized minimum entropy deconvolution for ultrasonic NDT & E
- (2011) Xiang Li et al. NDT & E INTERNATIONAL
- An adaptive SK technique and its application for fault detection of rolling element bearings
- (2010) Yanxue 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
- Comparing Measures of Sparsity
- (2009) Niall Hurley et al. IEEE TRANSACTIONS ON INFORMATION THEORY
- Enhancement of signal denoising and multiple fault signatures detecting in rotating machinery using dual-tree complex wavelet transform
- (2009) Yanxue Wang et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Bearing condition diagnosis and prognosis using applied nonlinear dynamical analysis of machine vibration signal
- (2008) S. Janjarasjitt et al. JOURNAL OF SOUND AND VIBRATION
- Similarity of signal processing effect between Hankel matrix-based SVD and wavelet transform and its mechanism analysis
- (2008) Xuezhi Zhao et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Application of spectral kurtosis for detection of a tooth crack in the planetary gear of a wind turbine
- (2008) Tomasz Barszcz et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Differential diagnosis of spall vs. cracks in the gear tooth fillet region: Experimental validation
- (2008) H. Endo 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
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