Bearing fault diagnosis method based on adaptive maximum cyclostationarity blind deconvolution
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Title
Bearing fault diagnosis method based on adaptive maximum cyclostationarity blind deconvolution
Authors
Keywords
Cyclic frequency estimation, Feature extraction, Fault diagnosis, Performance-efficiency ratio, Adaptive maximum cyclostationarity blind deconvolution
Journal
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
Volume 162, Issue -, Pages 108018
Publisher
Elsevier BV
Online
2021-05-12
DOI
10.1016/j.ymssp.2021.108018
References
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- (2019) Zhijian Wang et al. MEASUREMENT
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- (2018) Liuyang Song et al. IEEE TRANSACTIONS ON FUZZY SYSTEMS
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- (2018) Yuqing Zhou et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- 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
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- (2018) Marco Buzzoni et al. JOURNAL OF SOUND AND VIBRATION
- A probability distribution model of tooth pits for evaluating time-varying mesh stiffness of pitting gears
- (2018) Yaguo Lei et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- A fault diagnosis scheme for planetary gearboxes using adaptive multi-scale morphology filter and modified hierarchical permutation entropy
- (2018) Yongbo Li et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
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- (2018) Jinde Zheng et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- An automatic and robust features learning method for rotating machinery fault diagnosis based on contractive autoencoder
- (2018) Changqing Shen et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Time-Frequency Squeezing and Generalized Demodulation Combined for Variable Speed Bearing Fault Diagnosis
- (2018) Weiguo Huang et al. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
- 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
- Note: Parallel processing algorithm of temperature and noise error for micro-electro-mechanical system gyroscope based on variational mode decomposition and augmented nonlinear differentiator
- (2018) Chong Shen et al. REVIEW OF SCIENTIFIC INSTRUMENTS
- Identification of mechanical compound-fault based on the improved parameter-adaptive variational mode decomposition
- (2018) Yonghao Miao et al. ISA TRANSACTIONS
- Application of dispersion entropy to status characterization of rotary machines
- (2018) Mostafa Rostaghi et al. JOURNAL OF SOUND AND VIBRATION
- A statistical feature investigation of the spalling propagation assessment for a ball bearing
- (2018) Jing Liu et al. MECHANISM AND MACHINE THEORY
- A coarse-to-fine decomposing strategy of VMD for extraction of weak repetitive transients in fault diagnosis of rotating machines
- (2018) Xingxing Jiang et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- A three-dimensional geometric features-based SCA algorithm for compound faults diagnosis
- (2018) Yansong Hao et al. MEASUREMENT
- A novel convolutional neural network based fault recognition method via image fusion of multi-vibration-signals
- (2018) Huaqing Wang et al. COMPUTERS IN INDUSTRY
- 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
- A new method to enhance of fault detection and diagnosis in gearbox systems
- (2017) Azeddine Ratni et al. Journal of Vibroengineering
- Self adaptive multi-scale morphology AVG-Hat filter and its application to fault feature extraction for wheel bearing
- (2017) Feiyue Deng et al. MEASUREMENT SCIENCE and TECHNOLOGY
- 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
- An underdamped stochastic resonance method with stable-state matching for incipient fault diagnosis of rolling element bearings
- (2017) Yaguo Lei et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Rolling bearing fault detection and diagnosis based on composite multiscale fuzzy entropy and ensemble support vector machines
- (2017) Jinde Zheng et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Dispersion Entropy: A Measure for Time-Series Analysis
- (2016) Mostafa Rostaghi et al. IEEE SIGNAL PROCESSING LETTERS
- Diagnosis of compound faults of rolling bearings through adaptive maximum correlated kurtosis deconvolution
- (2016) Guiji Tang et al. Journal of Mechanical Science and Technology
- Envelope harmonic-to-noise ratio for periodic impulses detection and its application to bearing diagnosis
- (2016) Xiaoqiang Xu et al. MEASUREMENT
- 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
- A Novel Fault Diagnosis Method for Rotating Machinery Based on EEMD and MCKD
- (2015) Z.-L. Lv et al. International Journal of Simulation Modelling
- Selection principle of mathematical morphological operators in vibration signal processing
- (2014) Aijun Hu et al. JOURNAL OF VIBRATION AND CONTROL
- Maximum correlated Kurtosis deconvolution and application on gear tooth chip fault detection
- (2012) Geoff L. McDonald et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Compound faults detection of rotating machinery using improved adaptive redundant lifting multiwavelet
- (2012) Jinglong Chen et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
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