A Rolling Bearing Fault Diagnosis Method Based on EMD and Quantile Permutation Entropy

Data Decomposition Techniques with Multi-Scale Permutation Entropy Calculations for Bearing Fault Diagnosis

(2018) Muhammad Yasir et al.   SENSORS

Naive Bayes Bearing Fault Diagnosis Based on Enhanced Independence of Data

(2018) Nannan Zhang et al.   SENSORS

A Rolling Bearing Fault Diagnosis Method Based on Variational Mode Decomposition and an Improved Kernel Extreme Learning Machine

(2017) Ke Li et al.   Applied Sciences-Basel

Fractional-Order Chaotic Self-Synchronization-Based Tracking Faults Diagnosis of Ball Bearing Systems

(2016) Her-Terng Yau et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Regressing sample quantiles to perform nonparametric capability analysis

(2016) María I. Salazar-Alvarez et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

A Sparsity-Promoted Decomposition for Compressed Fault Diagnosis of Roller Bearings

(2016) Huaqing Wang et al.   SENSORS

Bootstrapping sample quantiles of discrete data

(2015) Carsten Jentsch et al.   ANNALS OF THE INSTITUTE OF STATISTICAL MATHEMATICS

A novel bearing fault diagnosis model integrated permutation entropy, ensemble empirical mode decomposition and optimized SVM

(2015) Xiaoyuan Zhang et al.   MEASUREMENT

Rolling element bearing diagnostics using the Case Western Reserve University data: A benchmark study

(2015) Wade A. Smith et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A Compound Fault Diagnosis for Rolling Bearings Method Based on Blind Source Separation and Ensemble Empirical Mode Decomposition

(2014) Huaqing Wang et al.   PLoS One

Multiscale Permutation Entropy Based Rolling Bearing Fault Diagnosis

(2014) Jinde Zheng et al.   SHOCK AND VIBRATION

An Improved Method Based on CEEMD for Fault Diagnosis of Rolling Bearing

(2014) Meijiao Li et al.   Advances in Mechanical Engineering

Bearing Fault Diagnosis Based on Multiscale Permutation Entropy and Support Vector Machine

(2012) Shuen-De Wu et al.   Entropy

Failure and reliability prediction by support vector machines regression of time series data

(2011) Márcio das Chagas Moura et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Time series prediction using RBF neural networks with a nonlinear time-varying evolution PSO algorithm

(2009) Cheng-Ming Lee et al.   NEUROCOMPUTING