Hierarchical diagnosis of bearing faults using branch convolutional neural network considering noise interference and variable working conditions

Ensemble deep contractive auto-encoders for intelligent fault diagnosis of machines under noisy environment

(2020) Yuyan Zhang et al.   KNOWLEDGE-BASED SYSTEMS

A deep transfer maximum classifier discrepancy method for rolling bearing fault diagnosis under few labeled data

(2020) Zhenghong Wu et al.   KNOWLEDGE-BASED SYSTEMS

Multiscale cascading deep belief network for fault identification of rotating machinery under various working conditions

(2020) Xiaoan Yan et al.   KNOWLEDGE-BASED SYSTEMS

Wasserstein Distance based Deep Adversarial Transfer Learning for Intelligent Fault Diagnosis with Unlabeled or Insufficient Labeled Data

(2020) Cheng Cheng et al.   NEUROCOMPUTING

Intelligent fault diagnosis of rolling bearings based on normalized CNN considering data imbalance and variable working conditions

(2020) Bo Zhao et al.   KNOWLEDGE-BASED SYSTEMS

Cross-domain intelligent fault classification of bearings based on tensor-aligned invariant subspace learning and two-dimensional convolutional neural networks

(2020) Chaofan Hu et al.   KNOWLEDGE-BASED SYSTEMS

A lightweight neural network with strong robustness for bearing fault diagnosis

(2020) Dechen Yao et al.   MEASUREMENT

An adversarial denoising convolutional neural network for fault diagnosis of rotating machinery under noisy environment and limited sample size case

(2020) Lei Zou et al.   NEUROCOMPUTING

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

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

An improved deep convolutional neural network with multi-scale information for bearing fault diagnosis

(2019) Wenyi Huang et al.   NEUROCOMPUTING

Application of Multiscale Learning Neural Network Based on CNN in Bearing Fault Diagnosis

(2019) Daichao Wang et al.   Journal of Signal Processing Systems for Signal Image and Video Technology

Deep learning fault diagnosis method based on global optimization GAN for unbalanced data

(2019) Funa Zhou et al.   KNOWLEDGE-BASED SYSTEMS

A novel fault diagnosis algorithm for rotating machinery based on a sparsity and neighborhood preserving deep extreme learning machine

(2019) Ke Li et al.   NEUROCOMPUTING

ASM1D-GAN: An Intelligent Fault Diagnosis Method Based on Assembled 1D Convolutional Neural Network and Generative Adversarial Networks

(2019) Shengyao Gao et al.   Journal of Signal Processing Systems for Signal Image and Video Technology

Statistical Spectral Analysis for Fault Diagnosis of Rotating Machines

(2018) Lucio Ciabattoni et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Convolutional neural network-based hidden Markov models for rolling element bearing fault identification

(2018) Shuhui Wang et al.   KNOWLEDGE-BASED SYSTEMS

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

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

(2018) Zhiyu Zhu et al.   NEUROCOMPUTING

Hierarchical convolutional neural networks for fashion image classification

(2018) Yian Seo et al.   EXPERT SYSTEMS WITH APPLICATIONS

Application of Bandwidth EMD and Adaptive Multiscale Morphology Analysis for Incipient Fault Diagnosis of Rolling Bearings

(2017) Yongbo Li et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

An enhancement deep feature fusion method for rotating machinery fault diagnosis

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

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

Convolutional Neural Network Based Fault Detection for Rotating Machinery

(2016) Olivier Janssens et al.   JOURNAL OF SOUND AND VIBRATION

Construction of hierarchical diagnosis network based on deep learning and its application in the fault pattern recognition of rolling element bearings

(2016) Meng Gan et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Vibration Spectrum Imaging: A Novel Bearing Fault Classification Approach

(2015) Muhammad Amar et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

A Survey of Fault Diagnosis and Fault-Tolerant Techniques—Part I: Fault Diagnosis With Model-Based and Signal-Based Approaches

(2015) Zhiwei Gao et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

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

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

A time domain approach to diagnose gearbox fault based on measured vibration signals

(2014) Liu Hong et al.   JOURNAL OF SOUND AND VIBRATION

Bearing Fault Diagnosis for Direct-Drive Wind Turbines via Current-Demodulated Signals

(2013) Xiang Gong et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

New Expressions of Symmetrical Components of the Induction Motor Under Stator Faults

(2012) Monia Ben Khader Bouzid et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Fault diagnosis of planetary gearboxes via torsional vibration signal analysis

(2012) Zhipeng Feng et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Detection of Motor Bearing Outer Raceway Defect by Wavelet Packet Transformed Motor Current Signature Analysis

(2010) Enzo C. C. Lau et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT