Compound fault prediction of rolling bearing using multimedia data

A data-driven method to enhance vibration signal decomposition for rolling bearing fault analysis

(2016) M. Grasso 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

Rolling element bearing fault detection using support vector machine with improved ant colony optimization

(2013) Xu Li et al.   MEASUREMENT

Wavelets for fault diagnosis of rotary machines: A review with applications

(2013) Ruqiang Yan et al.   SIGNAL PROCESSING

Diagnosis of broken-bars fault in induction machines using higher order spectral analysis

(2012) L. Saidi et al.   ISA TRANSACTIONS

Early fault diagnosis of rotating machinery based on wavelet packets—Empirical mode decomposition feature extraction and neural network

(2011) G.F. Bin et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Deep, Big, Simple Neural Nets for Handwritten Digit Recognition

(2010) Dan Claudiu Cireşan et al.   NEURAL COMPUTATION

A Fuzzy-Based Approach for the Diagnosis of Fault Modes in a Voltage-Fed PWM Inverter Induction Motor Drive

(2008) Fatiha Zidani et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Application of the EEMD method to rotor fault diagnosis of rotating machinery

(2008) Yaguo Lei et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Fault diagnosis of induction motor based on decision trees and adaptive neuro-fuzzy inference

(2007) Van Tung Tran et al.   EXPERT SYSTEMS WITH APPLICATIONS

Rotating machine fault diagnosis using empirical mode decomposition

(2007) Q. Gao et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING