A wavelet packet transform-based deep feature transfer learning method for bearing fault diagnosis under different working conditions

Deep Transfer Learning Method Based on 1D-CNN for Bearing Fault Diagnosis

(2021) Jun He et al.   SHOCK AND VIBRATION

A hybrid attention improved ResNet based fault diagnosis method of wind turbines gearbox

(2021) Kai Zhang et al.   MEASUREMENT

A fault diagnosis method based on improved convolutional neural network for bearings under variable working conditions

(2021) Ke Zhang et al.   MEASUREMENT

A new deep transfer learning network based on convolutional auto-encoder for mechanical fault diagnosis

(2021) Quan Qian et al.   MEASUREMENT

Time-Frequency Sparse Reconstruction of Non-Uniform Sampling for Non-Stationary Signal

(2021) Jiannan Dong et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

A novel feature adaptive extraction method based on deep learning for bearing fault diagnosis

(2021) Tian Zhang et al.   MEASUREMENT

Performance degradation assessment of wind turbine gearbox based on maximum mean discrepancy and multi-sensor transfer learning

(2020) Yubin Pan et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

A New Penalty Domain Selection Machine Enabled Transfer Learning for Gearbox Fault Recognition

(2020) Fei Shen et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

A Novel Weighted Adversarial Transfer Network for Partial Domain Fault Diagnosis of Machinery

(2020) Weihua Li et al.   IEEE Transactions on Industrial Informatics

A New Multiple Source Domain Adaptation Fault Diagnosis Method Between Different Rotating Machines

(2020) Jun Zhu et al.   IEEE Transactions on Industrial Informatics

Nonparametric Bayesian Prior Inducing Deep Network for Automatic Detection of Cognitive Status

(2020) Edmond Q. Wu et al.   IEEE Transactions on Cybernetics

An intelligent fault diagnosis approach based on transfer learning from laboratory bearings to locomotive bearings

(2019) Bin Yang et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Fault Diagnosis of Induction Motor Using Convolutional Neural Network

(2019) Jong-Hyun Lee et al.   Applied Sciences-Basel

Intelligent Fault Identification Based on Multisource Domain Generalization Towards Actual Diagnosis Scenario

(2019) Huailiang Zheng et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

A Concentrated Time–Frequency Analysis Tool for Bearing Fault Diagnosis

(2019) Gang Yu   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

Deep transfer learning for rolling bearing fault diagnosis under variable operating conditions

(2019) Changchang Che et al.   Advances in Mechanical Engineering

Deep Learning-Based Machinery Fault Diagnostics With Domain Adaptation Across Sensors at Different Places

(2019) Xiang Li et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

A new subset based deep feature learning method for intelligent fault diagnosis of bearing

(2018) Yuyan Zhang et al.   EXPERT SYSTEMS WITH APPLICATIONS

LiftingNet: A Novel Deep Learning Network With Layerwise Feature Learning From Noisy Mechanical Data for Fault Classification

(2018) Jun Pan et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

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

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

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 robust intelligent fault diagnosis method for rolling element bearings based on deep distance metric learning

(2018) Xiang Li et al.   NEUROCOMPUTING

Deep learning and its applications to machine health monitoring

(2018) Rui Zhao et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Deep Convolutional Transfer Learning Network: A New Method for Intelligent Fault Diagnosis of Machines With Unlabeled Data

(2018) Liang Guo et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

A Dynamic-Bayesian-Network-Based Fault Diagnosis Methodology Considering Transient and Intermittent Faults

(2017) Baoping Cai et al.   IEEE Transactions on Automation Science and Engineering

Quantitative and Localization Diagnosis of a Defective Ball Bearing Based on Vertical–Horizontal Synchronization Signal Analysis

(2017) Lingli Cui et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Dislocated Time Series Convolutional Neural Architecture: An Intelligent Fault Diagnosis Approach for Electric Machine

(2017) Ruonan Liu et al.   IEEE Transactions on Industrial Informatics

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

(2017) Luyang Jing et al.   MEASUREMENT

Feature Denoising and Nearest–Farthest Distance Preserving Projection for Machine Fault Diagnosis

(2016) Weihua Li et al.   IEEE Transactions on Industrial Informatics

Time-frequency atoms-driven support vector machine method for bearings incipient fault diagnosis

(2016) Ruonan Liu et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Multiclass fault diagnosis in gears using support vector machine algorithms based on frequency domain data

(2013) S. Bansal et al.   MEASUREMENT