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。Data Decomposition Techniques with Multi-Scale Permutation Entropy Calculations for Bearing Fault Diagnosis
Muhammad Naveed Yasir et al.
SENSORS (2018)
Naive Bayes Bearing Fault Diagnosis Based on Enhanced Independence of Data
Nannan Zhang et al.
SENSORS (2018)
A Rolling Bearing Fault Diagnosis Method Based on Variational Mode Decomposition and an Improved Kernel Extreme Learning Machine
Ke Li et al.
APPLIED SCIENCES-BASEL (2017)
Bootstrapping sample quantiles of discrete data
Carsten Jentsch et al.
ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS (2016)
Fractional-Order Chaotic Self-Synchronization-Based Tracking Faults Diagnosis of Ball Bearing Systems
Her-Terng Yau et al.
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS (2016)
Regressing sample quantiles to perform nonparametric capability analysis
Maria I. Salazar-Alvarez et al.
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY (2016)
A Sparsity-Promoted Decomposition for Compressed Fault Diagnosis of Roller Bearings
Huaqing Wang et al.
SENSORS (2016)
A novel bearing fault diagnosis model integrated permutation entropy, ensemble empirical mode decomposition and optimized SVM
Xiaoyuan Zhang et al.
MEASUREMENT (2015)
Rolling element bearing diagnostics using the Case Western Reserve University data: A benchmark study
Wade A. Smith et al.
MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2015)
A Compound Fault Diagnosis for Rolling Bearings Method Based on Blind Source Separation and Ensemble Empirical Mode Decomposition
Huaqing Wang et al.
PLOS ONE (2014)
Multiscale Permutation Entropy Based Rolling Bearing Fault Diagnosis
Jinde Zheng et al.
SHOCK AND VIBRATION (2014)
An Improved Method Based on CEEMD for Fault Diagnosis of Rolling Bearing
Meijiao Li et al.
ADVANCES IN MECHANICAL ENGINEERING (2014)
Bearing Fault Diagnosis Based on Multiscale Permutation Entropy and Support Vector Machine
Shuen-De Wu et al.
ENTROPY (2012)
Failure and reliability prediction by support vector machines regression of time series data
Marcio das Chagas Moura et al.
RELIABILITY ENGINEERING & SYSTEM SAFETY (2011)
Time series prediction using RBF neural networks with a nonlinear time-varying evolution PSO algorithm
Cheng-Ming Lee et al.
NEUROCOMPUTING (2009)
Permutation entropy: A natural complexity measure for time series
C Bandt et al.
PHYSICAL REVIEW LETTERS (2002)