A Denoising Autoencoder-Based Bearing Fault Diagnosis System for Time-Domain Vibration Signals

Intelligent Bearing Fault Diagnosis Method Combining Compressed Data Acquisition and Deep Learning

(2018) Jiedi Sun et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

Fault diagnosis of rolling bearings with recurrent neural network-based autoencoders

(2018) Han Liu et al.   ISA TRANSACTIONS

Reliable Fault Diagnosis of Rotary Machine Bearings Using a Stacked Sparse Autoencoder-Based Deep Neural Network

(2018) Muhammad Sohaib et al.   SHOCK AND VIBRATION

Attribute clustering using rough set theory for feature selection in fault severity classification of rotating machinery

(2017) Fannia Pacheco et al.   EXPERT SYSTEMS WITH APPLICATIONS

Deep Learning Based Approach for Bearing Fault Diagnosis

(2017) Miao He et al.   IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS

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

(2017) Haidong Shao et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Fault diagnosis of rotary machinery components using a stacked denoising autoencoder-based health state identification

(2017) Chen Lu et al.   SIGNAL PROCESSING

Compound feature selection and parameter optimization of ELM for fault diagnosis of rolling element bearings

(2016) Meng Luo et al.   ISA TRANSACTIONS

Detection of broken rotor bar faults in induction motor at low load using neural network

(2016) B. Bessam et al.   ISA TRANSACTIONS

A sparse auto-encoder-based deep neural network approach for induction motor faults classification

(2016) Wenjun Sun et al.   MEASUREMENT

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

An improved SVM classifier based on double chains quantum genetic algorithm and its application in analogue circuit diagnosis

(2016) Peng Chen et al.   NEUROCOMPUTING

Fault detection with Conditional Gaussian Network

(2015) Mohamed Amine Atoui et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Prognostics and health management design for rotary machinery systems—Reviews, methodology and applications

(2013) Jay Lee et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Natural computing for mechanical systems research: A tutorial overview

(2010) Keith Worden et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Use of particle swarm optimization for machinery fault detection

(2008) B. Samanta et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

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

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