A new automatic convolutional neural network based on deep reinforcement learning for fault diagnosis

Multi-model ensemble deep learning method for intelligent fault diagnosis with high-dimensional samples

(2021) Xin Zhang et al.   Frontiers of Mechanical Engineering

Differentiable neural architecture search augmented with pruning and multi-objective optimization for time-efficient intelligent fault diagnosis of machinery

(2021) Kaiyu Zhang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Hyperparameter Optimization Using a Genetic Algorithm Considering Verification Time in a Convolutional Neural Network

(2020) Ji-Hoon Han et al.   Journal of Electrical Engineering & Technology

Learning Attention Representation with a Multi-Scale CNN for Gear Fault Diagnosis under Different Working Conditions

(2020) Yong Yao et al.   SENSORS

Applications of machine learning to machine fault diagnosis: A review and roadmap

(2020) Yaguo Lei et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

A Novel Capsule Network Based on Wide Convolution and Multi-Scale Convolution for Fault Diagnosis

(2020) Yu Wang et al.   Applied Sciences-Basel

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

(2020) Long Wen et al.   MEASUREMENT & CONTROL

A deep learning method for bearing fault diagnosis based on Cyclic Spectral Coherence and Convolutional Neural Networks

(2020) Zhuyun Chen et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Fault Diagnosis of Rotary Machines Using Deep Convolutional Neural Network with Wide Three Axis Vibration Signal Input

(2020) Davor Kolar et al.   SENSORS

Role of artificial intelligence in rotor fault diagnosis: a comprehensive review

(2020) Aneesh G. Nath et al.   ARTIFICIAL INTELLIGENCE REVIEW

An adaptive data fusion strategy for fault diagnosis based on the convolutional neural network

(2020) Shi Li et al.   MEASUREMENT

A comprehensive review on convolutional neural network in machine fault diagnosis

(2020) Jinyang Jiao et al.   NEUROCOMPUTING

Asynchronous Episodic Deep Deterministic Policy Gradient: Toward Continuous Control in Computationally Complex Environments

(2020) Zhizheng Zhang et al.   IEEE Transactions on Cybernetics

A New Reinforcement Learning Based Learning Rate Scheduler for Convolutional Neural Network in Fault Classification

(2020) Long Wen et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

An Unequal Deep Learning Approach for 3-D Point Cloud Segmentation

(2020) Junliang Wang et al.   IEEE Transactions on Industrial Informatics

Bayesian approach and time series dimensionality reduction to LSTM-based model-building for fault diagnosis of a reciprocating compressor

(2019) Diego Cabrera et al.   NEUROCOMPUTING

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

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

Online Fault Diagnosis Method Based on Transfer Convolutional Neural Networks

(2019) Gaowei Xu et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

A reinforcement neural architecture search method for rolling bearing fault diagnosis

(2019) Ruixin Wang et al.   MEASUREMENT

Evolving Deep Echo State Networks for Intelligent Fault Diagnosis

(2019) Jianyu Long et al.   IEEE Transactions on Industrial Informatics

Retraining Strategy-Based Domain Adaption Network for Intelligent Fault Diagnosis

(2019) Yan Song et al.   IEEE Transactions on Industrial Informatics

Rolling element bearing fault diagnosis using convolutional neural network and vibration image

(2018) Duy-Tang Hoang et al.   Cognitive Systems Research

Multiscale Convolutional Neural Networks for Fault Diagnosis of Wind Turbine Gearbox

(2018) Guoqian Jiang et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

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

(2018) Zhiyu Zhu et al.   NEUROCOMPUTING

A New Deep Learning Model for Fault Diagnosis with Good Anti-Noise and Domain Adaptation Ability on Raw Vibration Signals

(2017) Wei Zhang et al.   SENSORS