Rolling bearing fault diagnosis using variational autoencoding generative adversarial networks with deep regret analysis

GMPSO-VMD Algorithm and Its Application to Rolling Bearing Fault Feature Extraction

(2020) Jiakai Ding et al.   SENSORS

An enhanced selective ensemble deep learning method for rolling bearing fault diagnosis with beetle antennae search algorithm

(2020) Xingqiu Li et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A fault diagnosis scheme for rotating machinery using hierarchical symbolic analysis and convolutional neural network

(2019) Yuantao Yang et al.   ISA TRANSACTIONS

An adaptive deep transfer learning method for bearing fault diagnosis

(2019) Zhenghong Wu et al.   MEASUREMENT

Transfer fault diagnosis of bearing installed in different machines using enhanced deep auto-encoder

(2019) He Zhiyi et al.   MEASUREMENT

A novel method for intelligent fault diagnosis of rolling bearings using ensemble deep auto-encoders

(2018) Haidong Shao et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A parameter-adaptive VMD method based on grasshopper optimization algorithm to analyze vibration signals from rotating machinery

(2018) Xin Zhang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

An intelligent diagnosis scheme based on generative adversarial learning deep neural networks and its application to planetary gearbox fault pattern recognition

(2018) Zirui Wang et al.   NEUROCOMPUTING

An enhancement denoising autoencoder for rolling bearing fault diagnosis

(2018) Zong Meng et al.   MEASUREMENT

Unsupervised fault diagnosis of rolling bearings using a deep neural network based on generative adversarial networks

(2018) Han Liu et al.   NEUROCOMPUTING

A novel adversarial learning framework in deep convolutional neural network for intelligent diagnosis of mechanical faults

(2018) Te Han et al.   KNOWLEDGE-BASED SYSTEMS

Application of CSA-VMD and optimal scale morphological slice bispectrum in enhancing outer race fault detection of rolling element bearings

(2018) Xiaoan Yan et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Intelligent fault diagnosis approach with unsupervised feature learning by stacked denoising autoencoder

(2017) Min Xia et al.   IET Science Measurement & Technology

Online sequential prediction of bearings imbalanced fault diagnosis by extreme learning machine

(2017) Wentao Mao et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Time–frequency manifold sparse reconstruction: A novel method for bearing fault feature extraction

(2016) Xiaoxi Ding et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Wavelet transform based on inner product in fault diagnosis of rotating machinery: A review

(2016) Jinglong Chen et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Construction of hierarchical diagnosis network based on deep learning and its application in the fault pattern recognition of rolling element bearings

(2016) Meng Gan et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING