Multireceptive Field Denoising Residual Convolutional Networks for Fault Diagnosis

Multichannel fault diagnosis of wind turbine driving system using multivariate singular spectrum decomposition and improved Kolmogorov complexity

(2021) Xiaoan Yan et al.   RENEWABLE ENERGY

Stack Autoencoder Transfer Learning Algorithm for Bearing Fault Diagnosis Based on Class Separation and Domain Fusion

(2021) Meidi Sun et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Multibranch and Multiscale CNN for Fault Diagnosis of Wheelset Bearings Under Strong Noise and Variable Load Condition

(2020) Dandan Peng et al.   IEEE Transactions on Industrial Informatics

Deep learning algorithms for rotating machinery intelligent diagnosis: An open source benchmark study

(2020) Zhibin Zhao et al.   ISA TRANSACTIONS

A Novel Deep Learning Model for the Detection and Identification of Rolling Element-Bearing Faults

(2020) Alex Shenfield et al.   SENSORS

Weak fault detection of rolling bearing using a DS-based adaptive spectrum reconstruction method

(2019) Y. Xu et al.   Journal of Instrumentation

Deep Residual Shrinkage Networks for Fault Diagnosis

(2019) Minghang Zhao et al.   IEEE Transactions on Industrial Informatics

Multiscale Kernel Based Residual Convolutional Neural Network for Motor Fault Diagnosis Under Nonstationary Conditions

(2019) Ruonan Liu et al.   IEEE Transactions on Industrial Informatics

Squeeze-and-Excitation Networks

(2019) Jie Hu et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

A New Convolutional Neural Network-Based Data-Driven Fault Diagnosis Method

(2018) Long Wen et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Multi-wavelet Coefficients Fusion in Deep Residual Networks for Fault Diagnosis

(2018) Minghang Zhao et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Deep residual learning-based fault diagnosis method for rotating machinery

(2018) Wei Zhang et al.   ISA TRANSACTIONS

An Intelligent Time-Adaptive Data-Driven Method for Sensor Fault Diagnosis in Induction Motor Drive System

(2018) Bin Gou et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Virtualization and deep recognition for system fault classification

(2017) Peng Wang et al.   JOURNAL OF MANUFACTURING 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

Real-Time Motor Fault Detection by 1-D Convolutional Neural Networks

(2016) Turker Ince et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Deep learning

(2015) Yann LeCun et al.   NATURE