A Novel Hierarchical Algorithm for Bearing Fault Diagnosis Based on Stacked LSTM

Rolling bearing fault feature learning using improved convolutional deep belief network with compressed sensing

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

Diagonal slice spectrum assisted optimal scale morphological filter for rolling element bearing fault diagnosis

(2017) Yifan Li et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Independence-oriented VMD to identify fault feature for wheel set bearing fault diagnosis of high speed locomotive

(2017) Zipeng Li et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Rolling bearing fault detection and diagnosis based on composite multiscale fuzzy entropy and ensemble support vector machines

(2017) Jinde Zheng et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

LSTM: A Search Space Odyssey

(2017) Klaus Greff et al.   IEEE Transactions on Neural Networks and Learning Systems

Randomized algorithms for nonlinear system identification with deep learning modification

(2016) Erick de la Rosa et al.   INFORMATION SCIENCES

Convolutional Neural Network Based Fault Detection for Rotating Machinery

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

A novel approach integrating dimensional analysis and neural networks for the detection of localized faults in roller bearings

(2016) I.M. Jamadar et al.   MEASUREMENT

A novel identification method of Volterra series in rotor-bearing system for fault diagnosis

(2016) Xin Xia 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

A novel fault diagnosis technique for photovoltaic systems based on artificial neural networks

(2016) W. Chine et al.   RENEWABLE ENERGY

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

(2015) Xiaoyuan Zhang et al.   MEASUREMENT

Health condition identification of multi-stage planetary gearboxes using a mRVM-based method

(2015) Yaguo Lei et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Gearbox Fault Identification and Classification with Convolutional Neural Networks

(2015) ZhiQiang Chen et al.   SHOCK AND VIBRATION

A classifier fusion system for bearing fault diagnosis

(2013) Luana Batista et al.   EXPERT SYSTEMS WITH APPLICATIONS

Motor Bearing Fault Diagnosis Using Trace Ratio Linear Discriminant Analysis

(2013) Xiaohang Jin et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Representation Learning: A Review and New Perspectives

(2013) Y. Bengio et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

An improved EEMD with multiwavelet packet for rotating machinery multi-fault diagnosis

(2013) Hongkai Jiang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Bearing Fault Detection by a Novel Condition-Monitoring Scheme Based on Statistical-Time Features and Neural Networks

(2012) Miguel Delgado Prieto et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Intelligent diagnosis method for rolling element bearing faults using possibility theory and neural network

(2010) Huaqing Wang et al.   COMPUTERS & INDUSTRIAL ENGINEERING

Application of an intelligent classification method to mechanical fault diagnosis

(2009) Yaguo Lei et al.   EXPERT SYSTEMS WITH APPLICATIONS