Gearbox fault diagnosis based on Multi-Scale deep residual learning and stacked LSTM model

A hybrid information model based on long short-term memory network for tool condition monitoring

(2020) Weili Cai et al.   JOURNAL OF INTELLIGENT MANUFACTURING

A data-driven model for milling tool remaining useful life prediction with convolutional and stacked LSTM network

(2020) Qinglong An et al.   MEASUREMENT

Bearing fault diagnosis base on multi-scale CNN and LSTM model

(2020) Xiaohan Chen et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Deep learning for prognostics and health management: State of the art, challenges, and opportunities

(2020) Behnoush Rezaeianjouybari et al.   MEASUREMENT

Understanding Convolutional Neural Networks With Information Theory: An Initial Exploration

(2020) Shujian Yu et al.   IEEE Transactions on Neural Networks and Learning Systems

A Deep Convolutional Neural Networks Model for Intelligent Fault Diagnosis of a Gearbox under Different Operational Conditions

(2019) Guangqi Qiu et al.   MEASUREMENT

A deep adaptive learning method for rolling bearing fault diagnosis using immunity

(2019) Yuling Tian et al.   TSINGHUA SCIENCE AND TECHNOLOGY

Deep residual learning-based fault diagnosis method for rotating machinery

(2018) Wei Zhang et al.   ISA TRANSACTIONS

Intelligent rotating machinery fault diagnosis based on deep learning using data augmentation

(2018) Xiang Li et al.   JOURNAL OF INTELLIGENT MANUFACTURING

A convolutional neural network based feature learning and fault diagnosis method for the condition monitoring of gearbox

(2017) Luyang Jing et al.   MEASUREMENT

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

(2017) Chen Lu et al.   SIGNAL PROCESSING

Hierarchical adaptive deep convolution neural network and its application to bearing fault diagnosis

(2016) Xiaojie Guo et al.   MEASUREMENT

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

(2016) Wenjun Sun et al.   MEASUREMENT

Bearing fault diagnosis with auto-encoder extreme learning machine: A comparative study

(2016) Wentao Mao et al.   PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE

An optimal fault detection threshold for early detection using Kullback–Leibler Divergence for unknown distribution data

(2016) Abdulrahman Youssef et al.   SIGNAL PROCESSING

Diversified learning for continuous hidden Markov models with application to fault diagnosis

(2015) Zefang Li et al.   EXPERT SYSTEMS WITH APPLICATIONS

A Home Sleep Apnea Screening Device With Time-Domain Signal Processing and Autonomous Scoring Capability

(2015) Jiayi Jin et al.   IEEE Transactions on Biomedical Circuits and Systems

A novel approach to wavelet selection and tree kernel construction for diagnosis of rolling element bearing fault

(2015) Chenxi Wu et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Fault diagnosis of automobile hydraulic brake system using statistical features and support vector machines

(2015) R. Jegadeeshwaran et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Intelligent fault diagnosis of rotating machinery using support vector machine with ant colony algorithm for synchronous feature selection and parameter optimization

(2015) XiaoLi Zhang et al.   NEUROCOMPUTING

Thermal image enhancement using bi-dimensional empirical mode decomposition in combination with relevance vector machine for rotating machinery fault diagnosis

(2013) Van Tung Tran et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Multi-column deep neural network for traffic sign classification

(2012) Dan Cireşan et al.   NEURAL NETWORKS

Application and comparison of an ANN-based feature selection method and the genetic algorithm in gearbox fault diagnosis

(2011) A. Hajnayeb et al.   EXPERT SYSTEMS WITH APPLICATIONS

Early fault diagnosis of rotating machinery based on wavelet packets—Empirical mode decomposition feature extraction and neural network

(2011) G.F. Bin et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Random forests classifier for machine fault diagnosis

(2009) Bo-Suk Yang et al.   Journal of Mechanical Science and Technology

Convolutional Networks Can Learn to Generate Affinity Graphs for Image Segmentation

(2009) Srinivas C. Turaga et al.   NEURAL COMPUTATION

Use of particle swarm optimization for machinery fault detection

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

An expert system for fault diagnosis in internal combustion engines using wavelet packet transform and neural network

(2008) Jian-Da Wu et al.   EXPERT SYSTEMS WITH APPLICATIONS

Self adaptive diagnosis of tool wear with a microcontroller

(2008) Erkki Jantunen et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Application of Wigner–Ville distribution and probability neural network for scooter engine fault diagnosis

(2007) Jian-Da Wu et al.   EXPERT SYSTEMS WITH APPLICATIONS