A feature fusion deep belief network method for intelligent fault diagnosis of rotating machinery

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

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

Rolling bearing fault diagnosis using adaptive deep belief network with dual-tree complex wavelet packet

(2017) Haidong Shao et al.   ISA TRANSACTIONS

An enhancement deep feature fusion method for rotating machinery fault diagnosis

(2017) Haidong Shao et al.   KNOWLEDGE-BASED SYSTEMS

A novel deep autoencoder feature learning method for rotating machinery fault diagnosis

(2017) Haidong Shao 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

Deep neural networks: A promising tool for fault characteristic mining and intelligent diagnosis of rotating machinery with massive data

(2016) Feng Jia et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Novel segmented stacked autoencoder for effective dimensionality reduction and feature extraction in hyperspectral imaging

(2016) Jaime Zabalza et al.   NEUROCOMPUTING

A fusion feature and its improvement based on locality preserving projections for rolling element bearing fault classification

(2015) Xiaoxi Ding et al.   JOURNAL OF SOUND AND VIBRATION

Rolling bearing fault diagnosis using an optimization deep belief network

(2015) Haidong Shao et al.   MEASUREMENT SCIENCE and TECHNOLOGY

Deep learning in neural networks: An overview

(2015) Jürgen Schmidhuber   NEURAL NETWORKS

Deep learning with support vector data description

(2015) Sangwook Kim et al.   NEUROCOMPUTING

An approach to fault diagnosis of reciprocating compressor valves using Teager–Kaiser energy operator and deep belief networks

(2014) Van Tung Tran 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

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

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

Failure diagnosis using deep belief learning based health state classification

(2013) Prasanna Tamilselvan et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

EEMD method and WNN for fault diagnosis of locomotive roller bearings

(2010) Yaguo Lei et al.   EXPERT SYSTEMS WITH APPLICATIONS

A multidimensional hybrid intelligent method for gear fault diagnosis

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