Rolling bearing fault diagnosis method based on multi-information fusion characteristics under complex working conditions

Rolling Bearing Fault Diagnosis Method Based on Self-Calibrated Coordinate Attention Mechanism and Multi-Scale Convolutional Neural Network Under Small Samples

(2023) Linlin Xue et al.   IEEE SENSORS JOURNAL

Fault diagnosis of rotor based on Semi-supervised Multi-Graph Joint Embedding

(2022) Jianhui Yuan et al.   ISA TRANSACTIONS

A fault mechanism-based model for bearing fault diagnosis under non-stationary conditions without target condition samples

(2022) Hongchun Sun et al.   MEASUREMENT

Rolling bearing fault diagnosis by markov transition field and multi-dimension convolutional neural network

(2022) Chunli Lei et al.   MEASUREMENT SCIENCE and TECHNOLOGY

Bearing fault diagnosis using normalized diagnostic feature-gram and convolutional neural network

(2022) Jaafar K Alsalaet et al.   MEASUREMENT SCIENCE and TECHNOLOGY

An Optimized Adaptive PReLU-DBN for Rolling Element Bearing Fault Diagnosis

(2021) Guangxing Niu et al.   NEUROCOMPUTING

Connected Components-based Colour Image Representations of Vibrations for a Two-stage Fault Diagnosis of Roller Bearings Using Convolutional Neural Networks

(2021) Hosameldin O. A. Ahmed et al.   Chinese Journal of Mechanical Engineering

ANS-net: anti-noise Siamese network for bearing fault diagnosis with a few data

(2021) Qin Fang et al.   NONLINEAR DYNAMICS

Efficient federated convolutional neural network with information fusion for rolling bearing fault diagnosis

(2021) Zehui Zhang et al.   CONTROL ENGINEERING PRACTICE

Modified Stacked Autoencoder Using Adaptive Morlet Wavelet for Intelligent Fault Diagnosis of Rotating Machinery

(2021) Haidong Shao et al.   IEEE-ASME TRANSACTIONS ON MECHATRONICS

An anti-noise one-dimension convolutional neural network learning model applying on bearing fault diagnosis

(2021) Fengqian Zou et al.   MEASUREMENT

Domain adaptive deep belief network for rolling bearing fault diagnosis

(2020) Changchang Che et al.   COMPUTERS & INDUSTRIAL ENGINEERING

A Compact Convolutional Neural Network Augmented with Multiscale Feature Extraction of Acquired Monitoring Data for Mechanical Intelligent Fault Diagnosis

(2020) Kaiyu Zhang et al.   JOURNAL OF MANUFACTURING SYSTEMS

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

Improved deep convolution neural network (CNN) for the identification of defects in the centrifugal pump using acoustic images

(2020) Anil Kumar et al.   APPLIED ACOUSTICS

A study on adaptation lightweight architecture based deep learning models for bearing fault diagnosis under varying working conditions

(2020) Jie Wu et al.   EXPERT SYSTEMS WITH APPLICATIONS

Fault diagnosis of rolling bearings using an Improved Multi-Scale Convolutional Neural Network with Feature Attention mechanism

(2020) Zifei Xu et al.   ISA TRANSACTIONS

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

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

An improved complementary ensemble empirical mode decomposition with adaptive noise and its application to rolling element bearing fault diagnosis

(2019) Yao Cheng et al.   ISA TRANSACTIONS

Deep topology network: A framework based on feedback adjustment learning rate for image classification

(2019) Long Fan et al.   ADVANCED ENGINEERING INFORMATICS

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

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

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

Bearing fault diagnosis using multi-scale entropy and adaptive neuro-fuzzy inference

(2010) Long Zhang et al.   EXPERT SYSTEMS WITH APPLICATIONS