A new ensemble convolutional neural network with diversity regularization for fault diagnosis

A new automatic machine learning based hyperparameter optimization for workpiece quality prediction

(2020) Long Wen et al.   MEASUREMENT & CONTROL

Bearing Fault Diagnosis Method Based on Deep Convolutional Neural Network and Random Forest Ensemble Learning

(2019) Gaowei Xu et al.   SENSORS

A transfer convolutional neural network for fault diagnosis based on ResNet-50

(2019) Long Wen et al.   NEURAL COMPUTING & APPLICATIONS

A New Two-Level Hierarchical Diagnosis Network Based on Convolutional Neural Network

(2019) Long Wen et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

Deep learning for smart manufacturing: Methods and applications

(2018) Jinjiang Wang et al.   JOURNAL OF MANUFACTURING SYSTEMS

Bearing remaining useful life prediction based on deep autoencoder and deep neural networks

(2018) Lei Ren et al.   JOURNAL OF MANUFACTURING SYSTEMS

Imbalanced data fault diagnosis of rotating machinery using synthetic oversampling and feature learning

(2018) Yuyan Zhang et al.   JOURNAL OF MANUFACTURING SYSTEMS

Parallel computing and network analytics for fast Industrial Internet-of-Things (IIoT) machine information processing and condition monitoring

(2018) Chen Kan et al.   JOURNAL OF MANUFACTURING SYSTEMS

Artificial intelligence for fault diagnosis of rotating machinery: A review

(2018) Ruonan Liu et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

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 deep convolutional neural network with new training methods for bearing fault diagnosis under noisy environment and different working load

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

Margin & diversity based ordering ensemble pruning

(2018) Huaping Guo et al.   NEUROCOMPUTING

Deep variational auto-encoders: A promising tool for dimensionality reduction and ball bearing elements fault diagnosis

(2018) Gabriel San Martin et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

A Convolutional Neural Network Based on a Capsule Network with Strong Generalization for Bearing Fault Diagnosis

(2018) Zhiyu Zhu et al.   NEUROCOMPUTING

Convolutional Discriminative Feature Learning for Induction Motor Fault Diagnosis

(2017) Wenjun Sun et al.   IEEE Transactions on Industrial Informatics

A Convolutional Neural Network for Fault Classification and Diagnosis in Semiconductor Manufacturing Processes

(2017) Ki Bum Lee et al.   IEEE TRANSACTIONS ON SEMICONDUCTOR MANUFACTURING

Multi-bearing remaining useful life collaborative prediction: A deep learning approach

(2017) Lei Ren et al.   JOURNAL OF MANUFACTURING SYSTEMS

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 for rotary machinery with selective ensemble neural networks

(2017) Zhen-Ya Wang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Deep Learning Enabled Fault Diagnosis Using Time-Frequency Image Analysis of Rolling Element Bearings

(2017) David Verstraete et al.   SHOCK AND VIBRATION

Bearing remaining useful life estimation based on time–frequency representation and supervised dimensionality reduction

(2016) Minghang Zhao et al.   MEASUREMENT

Maximizing the Diversity of Ensemble Random Forests for Tree Genera Classification Using High Density LiDAR Data

(2016) Connie Ko et al.   Remote Sensing

Application of empirical mode decomposition and artificial neural network for automatic bearing fault diagnosis based on vibration signals

(2015) Jaouher Ben Ali et al.   APPLIED ACOUSTICS

Intelligent fault diagnosis of roller bearings with multivariable ensemble-based incremental support vector machine

(2015) XiaoLi Zhang et al.   KNOWLEDGE-BASED SYSTEMS

Rolling element bearing diagnostics using the Case Western Reserve University data: A benchmark study

(2015) Wade A. Smith et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Gearbox Fault Identification and Classification with Convolutional Neural Networks

(2015) ZhiQiang Chen et al.   SHOCK AND VIBRATION

Review of Automatic Fault Diagnosis Systems Using Audio and Vibration Signals

(2013) Patricia Henriquez et al.   IEEE Transactions on Systems Man Cybernetics-Systems

Feature extraction for rolling element bearing fault diagnosis utilizing generalized S transform and two-dimensional non-negative matrix factorization

(2010) Bing Li et al.   JOURNAL OF SOUND AND VIBRATION