Multi-Scale Permutation Entropy Based on Improved LMD and HMM for Rolling Bearing Diagnosis
Published 2017 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Multi-Scale Permutation Entropy Based on Improved LMD and HMM for Rolling Bearing Diagnosis
Authors
Keywords
-
Journal
Entropy
Volume 19, Issue 4, Pages 176
Publisher
MDPI AG
Online
2017-04-19
DOI
10.3390/e19040176
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- A simple and efficient finite difference method for the phase-field crystal equation on curved surfaces
- (2016) Hyun Geun Lee et al. COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING
- Time-varying oscillation detector based on improved LMD and robust Lempel–Ziv complexity
- (2016) Lei Xie et al. CONTROL ENGINEERING PRACTICE
- Elimination of end effects in local mean decomposition using spectral coherence and applications for rotating machinery
- (2016) Wei Guo et al. DIGITAL SIGNAL PROCESSING
- Automatic bearing fault diagnosis using particle swarm clustering and Hidden Markov Model
- (2016) Mitchell Yuwono et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- A Hybrid EEMD-Based SampEn and SVD for Acoustic Signal Processing and Fault Diagnosis
- (2016) Zhi-Xin Yang et al. Entropy
- Improved LMD, Permutation Entropy and Optimized K-Means to Fault Diagnosis for Roller Bearings
- (2016) Zongli Shi et al. Entropy
- Hybrid Beamforming in mm-Wave MIMO Systems Having a Finite Input Alphabet
- (2016) Rakshith Rajashekar et al. IEEE TRANSACTIONS ON COMMUNICATIONS
- (Continuous) Phase Modulation on the Hypersphere
- (2016) Mohammad Ali Sedaghat et al. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
- A fault diagnosis scheme for rolling bearing based on local mean decomposition and improved multiscale fuzzy entropy
- (2016) Yongbo Li et al. JOURNAL OF SOUND AND VIBRATION
- A new rolling bearing fault diagnosis method based on multiscale permutation entropy and improved support vector machine based binary tree
- (2016) Yongbo Li et al. MEASUREMENT
- Hidden Markov model and nuisance attribute projection based bearing performance degradation assessment
- (2016) Huiming Jiang et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Detection and diagnosis of bearing faults using shift-invariant dictionary learning and hidden Markov model
- (2016) Haitao Zhou et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Detection of vocal disorders based on phase space parameters and Lyapunov spectrum
- (2015) Hamzeh Ghasemzadeh et al. Biomedical Signal Processing and Control
- A new rotating machinery fault diagnosis method based on improved local mean decomposition
- (2015) Yongbo Li et al. DIGITAL SIGNAL PROCESSING
- Rolling Bearing Fault Diagnosis Based on Wavelet Packet Decomposition and Multi-Scale Permutation Entropy
- (2015) Li-Ye Zhao et al. Entropy
- Induction Machine Bearing Fault Detection by Means of Statistical Processing of the Stray Flux Measurement
- (2015) Lucia Frosini et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Online machining chatter forecast based on improved local mean decomposition
- (2015) Huibin Sun et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Streamflow variability and classification using false nearest neighbor method
- (2015) R. Vignesh et al. JOURNAL OF HYDROLOGY
- A novel bearing fault diagnosis model integrated permutation entropy, ensemble empirical mode decomposition and optimized SVM
- (2015) Xiaoyuan Zhang et al. MEASUREMENT
- A novel wind turbine bearing fault diagnosis method based on Integral Extension LMD
- (2015) W.Y. Liu et al. MEASUREMENT
- A novel integral extension LMD method based on integral local waveform matching
- (2015) W. Y. Liu et al. NEURAL COMPUTING & APPLICATIONS
- Trends in Fault Diagnosis for Electrical Machines: A Review of Diagnostic Techniques
- (2014) Humberto Henao et al. IEEE Industrial Electronics Magazine
- Multi-Scale Permutation Entropy: A Complexity Measure for Discriminating Two-Phase Flow Dynamics
- (2013) Chun-Ling Fan et al. CHINESE PHYSICS LETTERS
- Bearing fault diagnosis based on multi-scale permutation entropy and adaptive neuro fuzzy classifier
- (2013) Rohit Tiwari et al. JOURNAL OF VIBRATION AND CONTROL
- Data-driven models for monthly streamflow time series prediction
- (2010) C.L. Wu et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Diagnosis of Bearing Faults in Induction Machines by Vibration or Current Signals: A Critical Comparison
- (2010) Fabio Immovilli et al. IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationPublish scientific posters with Peeref
Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.
Learn More