Minimum entropy morphological deconvolution and its application in bearing fault diagnosis
出版年份 2021 全文链接
标题
Minimum entropy morphological deconvolution and its application in bearing fault diagnosis
作者
关键词
Morphological filtering, Diagonal slice spectrum, Minimum entropy deconvolution, Fault feature extraction
出版物
MEASUREMENT
Volume 182, Issue -, Pages 109649
出版商
Elsevier BV
发表日期
2021-06-12
DOI
10.1016/j.measurement.2021.109649
参考文献
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。- Fault detection for planetary gearbox based on an enhanced average filter and modulation signal bispectrum analysis
- (2020) Junchao Guo et al. ISA TRANSACTIONS
- Periodical sparse low-rank matrix estimation algorithm for fault detection of rolling bearings
- (2020) Baoxiang Wang et al. ISA TRANSACTIONS
- A fault information-oriented weighted nuclear norm minimization and its application for fault feature extraction of rolling bearing
- (2020) Baoxiang Wang et al. MEASUREMENT SCIENCE and TECHNOLOGY
- A Novel Indicator to Improve Fast Kurtogram for the Health Monitoring of Rolling Bearing
- (2020) Kaixuan Liang et al. IEEE SENSORS JOURNAL
- Hierarchical Frequency-Domain Sparsity-Based Algorithm for Fault Feature Extraction of Rolling Bearings
- (2020) Baoxiang Wang et al. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
- Sparse feature extraction based on periodical convolutional sparse representation for fault detection of rotating machinery
- (2020) Chuancang Ding et al. MEASUREMENT SCIENCE and TECHNOLOGY
- Research and Application of Improved Adaptive MOMEDA Fault Diagnosis Method
- (2019) Zhijian Wang et al. MEASUREMENT
- Early fault detection method for rolling bearing based on multiscale morphological filtering of information-entropy threshold
- (2019) Lingli Cui et al. Journal of Mechanical Science and Technology
- Application of improved MCKD method based on QGA in planetary gear compound fault diagnosis
- (2019) Xuan Lyu et al. MEASUREMENT
- Fault diagnosis of sun gear based on continuous vibration separation and minimum entropy deconvolution
- (2019) Lun Zhang et al. MEASUREMENT
- Periodic impulses extraction based on improved adaptive VMD and sparse code shrinkage denoising and its application in rotating machinery fault diagnosis
- (2019) Jimeng Li et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Iterative K-Singular Value Decomposition for Quantitative Fault Diagnosis of Bearings
- (2019) Ming Zeng et al. IEEE SENSORS JOURNAL
- Adaptive Multipoint Optimal Minimum Entropy Deconvolution Adjusted and Application to Fault Diagnosis of Rolling Element Bearings
- (2019) Yao Cheng et al. IEEE SENSORS JOURNAL
- Periodicity-impulsiveness spectrum based on singular value negentropy and its application for identification of optimal frequency band
- (2018) Yonghao Miao et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Fault diagnosis of rolling element bearing using a new optimal scale morphology analysis method
- (2018) Xiaoan Yan et al. ISA TRANSACTIONS
- Blind deconvolution based on cyclostationarity maximization and its application to fault identification
- (2018) Marco Buzzoni et al. JOURNAL OF SOUND AND VIBRATION
- Extraction of repetitive transients with frequency domain multipoint kurtosis for bearing fault diagnosis
- (2018) Yuhe Liao et al. MEASUREMENT SCIENCE and TECHNOLOGY
- An enhanced morphology gradient product filter for bearing fault detection
- (2018) Yifan Li et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Train axle bearing fault detection using a feature selection scheme based multi-scale morphological filter
- (2018) Yifan Li et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Average combination difference morphological filters for fault feature extraction of bearing
- (2018) Jingxiang Lv et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- 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
- 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
- A new strategy of using a time-varying structure element for mathematical morphological filtering
- (2017) Yifan Li et al. MEASUREMENT
- Application of optimized multiscale mathematical morphology for bearing fault diagnosis
- (2017) Tingkai Gong et al. MEASUREMENT SCIENCE and TECHNOLOGY
- 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
- Diagonal slice spectrum assisted optimal scale morphological filter for rolling element bearing fault diagnosis
- (2017) Yifan Li 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
- 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
- The weak fault diagnosis and condition monitoring of rolling element bearing using minimum entropy deconvolution and envelop spectrum
- (2012) Ruilong Jiang et al. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE
- Gear fault detection using multi-scale morphological filters
- (2011) Bing Li et al. MEASUREMENT
- Simulating gear and bearing interactions in the presence of faults
- (2007) N. Sawalhi et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now