Research on fault detection of rolling bearings in press line by a new morphological filter based on diagonal slice spectrum lifting
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Title
Research on fault detection of rolling bearings in press line by a new morphological filter based on diagonal slice spectrum lifting
Authors
Keywords
Press line, Enhanced Morphological Filter Operator, Third-order cumulant diagonal slice spectrum, Fault diagnosis
Journal
MEASUREMENT
Volume 188, Issue -, Pages 110385
Publisher
Elsevier BV
Online
2021-10-30
DOI
10.1016/j.measurement.2021.110385
References
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- (2018) Xiaoan Yan et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
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- (2017) Yifan Li et al. MEASUREMENT
- Diagonal slice spectrum assisted optimal scale morphological filter for rolling element bearing fault diagnosis
- (2017) Yifan Li et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Bearing fault diagnosis based on an improved morphological filter
- (2016) Zhiyong Hu et al. MEASUREMENT
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- (2016) Suofeng Zhang et al. MEASUREMENT SCIENCE and TECHNOLOGY
- Generator bearing fault diagnosis for wind turbine via empirical wavelet transform using measured vibration signals
- (2016) Jinglong Chen et al. RENEWABLE ENERGY
- Variational Mode Decomposition
- (2014) Konstantin Dragomiretskiy et al. IEEE TRANSACTIONS ON SIGNAL PROCESSING
- Selection principle of mathematical morphological operators in vibration signal processing
- (2014) Aijun Hu et al. JOURNAL OF VIBRATION AND CONTROL
- Empirical Mode Decomposition-Based Time-Frequency Analysis of Multivariate Signals: The Power of Adaptive Data Analysis
- (2013) Danilo P. Mandic et al. IEEE SIGNAL PROCESSING MAGAZINE
- A new structuring element for multi-scale morphology analysis and its application in rolling element bearing fault diagnosis
- (2013) Qiong Chen et al. JOURNAL OF VIBRATION AND CONTROL
- Rolling bearing fault detection using an adaptive lifting multiwavelet packet with a $\rm 1}\frac{{\rm 1\rm 2$ dimension spectrum
- (2013) Hongkai Jiang et al. MEASUREMENT SCIENCE and TECHNOLOGY
- Application of power spectrum, cepstrum, higher order spectrum and neural network analyses for induction motor fault diagnosis
- (2013) B. Liang et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Theoretical and experimental analysis of bispectrum of vibration signals for fault diagnosis of gears
- (2013) Shen Guoji et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Early Classification of Bearing Faults Using Morphological Operators and Fuzzy Inference
- (2012) A. Santhana Raj et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Application of the horizontal slice of cyclic bispectrum in rolling element bearings diagnosis
- (2011) Y. Zhou et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Faults diagnosis of rolling element bearings based on modified morphological method
- (2010) Yabin Dong et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Multiscale morphology analysis and its application to fault diagnosis
- (2007) Lijun Zhang et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
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