Rolling-Element Bearing Fault Diagnosis Using Improved LeNet-5 Network

Rolling-Element Bearing Fault Diagnosis Using Improved LeNet-5 Network

To address the problems of low recognition accuracy, slow convergence speed and weak generalization ability of traditional LeNet-5 network used in rolling-element bearing fault diagnosis, a rolling-element bearing fault diagnosis method using improved 2D LeNet-5 network is put forward. The following...

Full description

Bibliographic Details
Main Authors:	Lanjun Wan, Yiwei Chen, Hongyang Li, Changyun Li
Format:	Article
Language:	English
Published:	MDPI AG 2020-03-01
Series:	Sensors
Subjects:	convolution neural network lenet-5 network fault diagnosis rolling-element bearing vibration signals
Online Access:	https://www.mdpi.com/1424-8220/20/6/1693

Similar Items

Concatenated Modified LeNet Approach for Classifying Pneumonia Images
by: Dhayanithi Jaganathan, et al.
Published: (2024-03-01)

Advancements in Cataract Detection: The Systematic Development of LeNet-Convolutional Neural Network Models
by: Thittaporn Ganokratanaa, et al.
Published: (2023-09-01)

Rolling Bearing Fault Prediction Method Based on QPSO-BP Neural Network and Dempster–Shafer Evidence Theory
by: Lanjun Wan, et al.
Published: (2020-03-01)

A Modified LeNet CNN for Breast Cancer Diagnosis in Ultrasound Images
by: Sathiyabhama Balasubramaniam, et al.
Published: (2023-08-01)

ROLLING BEARING FAULT DIAGNOSIS BASED ON FUSION CNN AND PSO-SVM
by: WANG YongDing, et al.
Published: (2021-01-01)

Fault diagnosis of rolling bearings based on GAF and DenseNet
by: JIANG Jiaguo1, et al.
Published: (2021-08-01)

A Sound and Vibration Fusion Method for Fault Diagnosis of Rolling Bearings under Speed-Varying Conditions
by: Haibo Wan, et al.
Published: (2023-03-01)

Sleep apnea detection from a single-lead ECG signal with automatic feature-extraction through a modified LeNet-5 convolutional neural network
by: Tao Wang, et al.
Published: (2019-09-01)

Fault diagnosis method of rolling bearing based on MTF and DenseNet
by: JIANG Jiaguo, et al.
Published: (2022-09-01)

Individual Identification of Radar Emitters Based on a One-Dimensional LeNet Neural Network
by: Yue Chen, et al.
Published: (2021-07-01)

Rolling Element Bearing Faults Detection and Classification Technique Using Vibration Signals
by: Mohammad Mohiuddin, et al.
Published: (2022-11-01)

Research on an ID-PCA Early Fault Detection Method for Rolling Bearings
by: Jin Guo, et al.
Published: (2022-04-01)

Perbandingan Arsitektur LeNet dan AlexNet Pada Metode Convolutional Neural Network Untuk Pengenalan American Sign Language
by: Muhammad Ezar Al Rivan, et al.
Published: (2021-06-01)

An Improved PixelHop Framework and its Application in Rolling Bearing Fault Diagnosis
by: Lanjun Wan, et al.
Published: (2021-01-01)

The Method of Rolling Bearing Fault Diagnosis Based on Multi-Domain Supervised Learning of Convolution Neural Network
by: Xuejun Liu, et al.
Published: (2022-06-01)

Application of Multi-Dimension Input Convolutional Neural Network in Fault Diagnosis of Rolling Bearings
by: Tao Zan, et al.
Published: (2019-07-01)

A VMD and CNN Combined Fault Diagnosis Method for Rolling Bearings
by: Li Kui, et al.
Published: (2022-01-01)

A Novel Fault Diagnosis Method of Rolling Bearings Combining Convolutional Neural Network and Transformer
by: Wenkai Liu, et al.
Published: (2023-04-01)

Research of Fault Diagnosis of Rolling Bearing based on MSCNN and STFT
by: Xing Rong, et al.
Published: (2020-01-01)

An Efficient Rolling Bearing Fault Diagnosis Method Based on Spark and Improved Random Forest Algorithm
by: Lanjun Wan, et al.
Published: (2021-01-01)

A New Fault Diagnosis of Rolling Bearing Based on Markov Transition Field and CNN
by: Mengjiao Wang, et al.
Published: (2022-05-01)

Rolling Bearing Fault Diagnosis Algorithm Based on FMCNN-Sparse Representation
by: Feng-Ping An
Published: (2019-01-01)

Multi-Fault Classification and Diagnosis of Rolling Bearing Based on Improved Convolution Neural Network
by: Xiong Zhang, et al.
Published: (2023-04-01)

APPLICATION OF CONVOLUTIONAL NEURAL NETWORK AND CHAOS THEORY IN FAULT DIAGNOSIS OF ROLLING BEARINGS
by: JIN JiangTao, et al.
Published: (2022-01-01)

Bearing Fault Diagnosis Method based on Sensitive Component and MCPG
by: Mingliang Zhang, et al.
Published: (2021-01-01)

Enhanced Lightweight Multiscale Convolutional Neural Network for Rolling Bearing Fault Diagnosis
by: Yaowei Shi, et al.
Published: (2020-01-01)

CNN LeNet Model for Year Digit Recognition on Relic Inscriptions of Majapahit Kingdom
by: Tri Septianto, et al.
Published: (2018-07-01)

Rolling Bearing Fault Diagnosis Using Time-Frequency Analysis and Deep Transfer Convolutional Neural Network
by: Zhihao Chen, et al.
Published: (2020-01-01)

A New Parameter Repurposing Method for Parameter Transfer With Small Dataset and Its Application in Fault Diagnosis of Rolling Element Bearings
by: Hyunjae Kim, et al.
Published: (2019-01-01)

Application of Teager–Kaiser Energy Operator in the Early Fault Diagnosis of Rolling Bearings
by: Xiangfu Shi, et al.
Published: (2022-09-01)

Rolling Bearing Fault Diagnosis Based on Convolutional Neural Network and Support Vector Machine
by: Laohu Yuan, et al.
Published: (2020-01-01)

Fault Diagnosis of Rolling Bearing based on MEEMD-DHENN
by: Wang Jinrui, et al.
Published: (2018-01-01)

Rolling Bearing Fault Diagnosis Using Multi-Sensor Data Fusion Based on 1D-CNN Model
by: Hongwei Wang, et al.
Published: (2022-04-01)

A Rolling Bearing Fault Diagnosis Method Based on Switchable Normalization and a Deep Convolutional Neural Network
by: Xiaoyu Han, et al.
Published: (2023-01-01)

An Approach of Intelligent Compound Fault Diagnosis of Rolling Bearing based on MWT and CNN
by: Han Tao, et al.
Published: (2016-01-01)

AN INCIPIENT FAULT DIAGNOSIS METHOD FOR ROLLING BEARING BASED ON MCKD AND LMD
by: SUN Wei, et al.
Published: (2018-01-01)

Lightweight Convolutional Neural Network and Its Application in Rolling Bearing Fault Diagnosis under Variable Working Conditions
by: Hengchang Liu, et al.
Published: (2019-11-01)

DWT-LSTM-Based Fault Diagnosis of Rolling Bearings with Multi-Sensors
by: Kai Gu, et al.
Published: (2021-08-01)

A Novel Bearing Fault Diagnosis Method Using Spark-Based Parallel ACO-K-Means Clustering Algorithm
by: Lanjun Wan, et al.
Published: (2021-01-01)

A Hierarchical Decision Fusion Diagnosis Method for Rolling Bearings
by: Jingzhou Fei, et al.
Published: (2021-01-01)