A Novel Capsule Network Based on Wide Convolution and Multi-Scale Convolution for Fault Diagnosis

A Novel Capsule Network Based on Wide Convolution and Multi-Scale Convolution for Fault Diagnosis

<b> </b>In the prognostics health management (PHM) of rotating machinery, the accurate identification of bearing fault is critical. In recent years, various deep learning methods can well identify bearing fault based on monitoring data. However, facing changing operating conditions and n...

Full description

Bibliographic Details
Main Authors:	Yu Wang, Dejun Ning, Songlin Feng
Format:	Article
Language:	English
Published:	MDPI AG 2020-05-01
Series:	Applied Sciences
Subjects:	multi-scale convolution capsule network fault diagnosis adaptive batch normalization
Online Access:	https://www.mdpi.com/2076-3417/10/10/3659

Similar Items

Bearing Fault Diagnosis Based on Shallow Multi-Scale Convolutional Neural Network with Attention
by: Tengda Huang, et al.
Published: (2019-10-01)

The Neural Network of One-Dimensional Convolution-An Example of the Diagnosis of Diabetic Retinopathy
by: Yunlei Sun
Published: (2019-01-01)

Fault Diagnosis of Induction Motor Using Convolutional Neural Network
by: Jong-Hyun Lee, et al.
Published: (2019-07-01)

Progressive Improved Convolutional Neural Network for Avionics Fault Diagnosis
by: Shuwen Chen, et al.
Published: (2019-01-01)

Homogeneous Vector Capsules Enable Adaptive Gradient Descent in Convolutional Neural Networks
by: Adam Byerly, et al.
Published: (2021-01-01)

Frequency-Domain Fusing Convolutional Neural Network: A Unified Architecture Improving Effect of Domain Adaptation for Fault Diagnosis
by: Xudong Li, et al.
Published: (2021-01-01)

One-Dimensional Multi-Scale Domain Adaptive Network for Bearing-Fault Diagnosis under Varying Working Conditions
by: Kai Wang, et al.
Published: (2020-10-01)

Fault Diagnosis of Bearings Based on Multi-Sensor Information Fusion and 2D Convolutional Neural Network
by: Jiaxing Wang, et al.
Published: (2021-01-01)

Development of Compound Fault Diagnosis System for Gearbox Based on Convolutional Neural Network
by: Ming-Chang Lin, et al.
Published: (2020-10-01)

Convolutional Neural Network-Based Inter-Turn Fault Diagnosis in LSPMSMs
by: Luqman S. Maraaba, et al.
Published: (2020-01-01)

Fault diagnosis of gas turbine based on matrix capsules with EM routing
by: Yunji Zhao, et al.
Published: (2021-04-01)

Fault Diagnosis Method Based on Encoding Time Series and Convolutional Neural Network
by: Chunlin Li, et al.
Published: (2020-01-01)

Research on fault diagnosis of hydraulic pump using convolutional neural network
by: Jiyu Yan, et al.
Published: (2016-12-01)

KECA Similarity-Based Monitoring and Diagnosis of Faults in Multi-Phase Batch Processes
by: Yongsheng Qi, et al.
Published: (2019-01-01)

Fault Diagnosis of Rotary Machines Using Deep Convolutional Neural Network with Wide Three Axis Vibration Signal Input
by: Davor Kolar, et al.
Published: (2020-07-01)

Intelligent Fault Diagnosis Under Varying Working Conditions Based on Domain Adaptive Convolutional Neural Networks
by: Bo Zhang, et al.
Published: (2018-01-01)

Bearing Fault Classification Based on Convolutional Neural Network in Noise Environment
by: Qinyu Jiang, et al.
Published: (2019-01-01)

Fault Diagnosis for Rotating Machinery Using Multiscale Permutation Entropy and Convolutional Neural Networks
by: Hongmei Li, et al.
Published: (2020-07-01)

Bearing Fault Diagnosis Based on Improved Convolutional Deep Belief Network
by: Shuangjie Liu, et al.
Published: (2020-09-01)

Convolutional Neural Network in Intelligent Fault Diagnosis Toward Rotatory Machinery
by: Shengnan Tang, et al.
Published: (2020-01-01)

A Fault Diagnosis Method of Rotating Machinery Based on One-Dimensional, Self-Normalizing Convolutional Neural Networks
by: Jingli Yang, et al.
Published: (2020-07-01)

Deep Convolutional Neural Network Regularization for Alcoholism Detection Using EEG Signals
by: Hamid Mukhtar, et al.
Published: (2021-08-01)

A Deep Learning Method for Bearing Fault Diagnosis through Stacked Residual Dilated Convolutions
by: Zilong Zhuang, et al.
Published: (2019-05-01)

A Novel Fault Diagnosis Method for Rotating Machinery Based on a Convolutional Neural Network
by: Sheng Guo, et al.
Published: (2018-05-01)

Deep Decoupling Convolutional Neural Network for Intelligent Compound Fault Diagnosis
by: Ruyi Huang, et al.
Published: (2019-01-01)

Sensor Data-Driven Bearing Fault Diagnosis Based on Deep Convolutional Neural Networks and S-Transform
by: Guoqiang Li, et al.
Published: (2019-06-01)

Fault Diagnosis of Rolling Bearing Using Wireless Sensor Networks and Convolutional Neural Network
by: Liqun Hou, et al.
Published: (2020-10-01)

Gearbox Fault Identification Framework Based on Novel Localized Adaptive Denoising Technique, Wavelet-Based Vibration Imaging, and Deep Convolutional Neural Network
by: Cong Dai Nguyen, et al.
Published: (2021-08-01)

Deep Convolutional Neural Network Using Transfer Learning for Fault Diagnosis
by: Dong Zhang, et al.
Published: (2021-01-01)

A New Snapshot Ensemble Convolutional Neural Network for Fault Diagnosis
by: Long Wen, et al.
Published: (2019-01-01)

Power Transformer Fault Diagnosis Based on DGA Using a Convolutional Neural Network With Noise in Measurements
by: Ibrahim B. M. Taha, et al.
Published: (2021-01-01)

DCG-Net: Dynamic Capsule Graph Convolutional Network for Point Clouds
by: Dena Bazazian, et al.
Published: (2020-01-01)

Lightweight Deep Residual CNN for Fault Diagnosis of Rotating Machinery Based on Depthwise Separable Convolutions
by: Shangjun Ma, et al.
Published: (2019-01-01)

Data Preprocessing Techniques in Convolutional Neural Network Based on Fault Diagnosis Towards Rotating Machinery
by: Shengnan Tang, et al.
Published: (2020-01-01)

The Effect of Batch Normalization on Deep Convolutional Neural Networks
by: Schilling, Fabian
Published: (2016)

Research on fault diagnosis of time-domain vibration signal based on convolutional neural networks
by: Mingyong Li, et al.
Published: (2019-12-01)

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

End-To-End Convolutional Neural Network Model for Gear Fault Diagnosis Based on Sound Signals
by: Yong Yao, et al.
Published: (2018-09-01)

An Adaptive Multi-Sensor Data Fusion Method Based on Deep Convolutional Neural Networks for Fault Diagnosis of Planetary Gearbox
by: Luyang Jing, et al.
Published: (2017-02-01)

A Novel Analog Circuit Soft Fault Diagnosis Method Based on Convolutional Neural Network and Backward Difference
by: Chenggong Zhang, et al.
Published: (2021-06-01)