Single and Multi-label Fault Classification in rotors from unprocessed multi-sensor data through deep and parallel CNN architectures

Intelligent fault diagnosis of rolling bearings based on normalized CNN considering data imbalance and variable working conditions

(2020) Bo Zhao et al.   KNOWLEDGE-BASED SYSTEMS

Bearing Fault Diagnosis with a Feature Fusion Method Based on an Ensemble Convolutional Neural Network and Deep Neural Network

(2019) Li et al.   SENSORS

A Multi-Dimension End-to-End CNN Model for Rotating Devices Fault Diagnosis on High-Speed Train Bogie

(2019) Linlin Kou et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

A Novel Fault Diagnosis Method for Rotating Machinery Based on a Convolutional Neural Network

(2018) Sheng Guo et al.   SENSORS

A novel convolutional neural network based fault recognition method via image fusion of multi-vibration-signals

(2018) Huaqing Wang et al.   COMPUTERS IN INDUSTRY

A New Deep Learning Model for Fault Diagnosis with Good Anti-Noise and Domain Adaptation Ability on Raw Vibration Signals

(2017) Wei Zhang et al.   SENSORS

Fault Diagnosis for Rotating Machinery Based on Convolutional Neural Network and Empirical Mode Decomposition

(2017) Yuan Xie et al.   SHOCK AND VIBRATION

Convolutional Neural Network Based Fault Detection for Rotating Machinery

(2016) Olivier Janssens et al.   JOURNAL OF SOUND AND VIBRATION

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

(2013) Ruqiang Yan et al.   SIGNAL PROCESSING

On the extraction of rules in the identification of bearing defects in rotating machinery using decision tree

(2010) Mouloud Boumahdi et al.   EXPERT SYSTEMS WITH APPLICATIONS

Rolling element bearing fault detection in industrial environments based on a K-means clustering approach

(2010) C.T. Yiakopoulos et al.   EXPERT SYSTEMS WITH APPLICATIONS

New clustering algorithm-based fault diagnosis using compensation distance evaluation technique

(2007) Yaguo Lei et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING