Cargando…

Rotating machinery fault diagnosis based on a novel lightweight convolutional neural network

The advancement of Industry 4.0 and Industrial Internet of Things (IIoT) has laid more emphasis on reducing the parameter amount and storage space of the model in addition to the automatic and accurate fault diagnosis. In this case, this paper proposes a lightweight convolutional neural network (LCN...

Descripción completa

Detalles Bibliográficos
Autores principales:	Yan, Jing, Liu, Tingliang, Ye, Xinyu, Jing, Qianzhen, Dai, Yuannan
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Public Library of Science 2021
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8389496/ https://www.ncbi.nlm.nih.gov/pubmed/34437598 http://dx.doi.org/10.1371/journal.pone.0256287

Ejemplares similares

A Low-Delay Lightweight Recurrent Neural Network (LLRNN) for Rotating Machinery Fault Diagnosis
por: Liu, Wenkai, et al.
Publicado: (2019)

A Novel Fault Diagnosis Method for Rotating Machinery Based on a Convolutional Neural Network
por: Guo, Sheng, et al.
Publicado: (2018)

A Lighted Deep Convolutional Neural Network Based Fault Diagnosis of Rotating Machinery
por: Ma, Shangjun, et al.
Publicado: (2019)

Fault Diagnosis for Rotating Machinery Using Multiscale Permutation Entropy and Convolutional Neural Networks
por: Li, Hongmei, et al.
Publicado: (2020)

Ensemble Dilated Convolutional Neural Network and Its Application in Rotating Machinery Fault Diagnosis
por: Cai, Yuxiang, et al.
Publicado: (2022)

Multi-Stream Convolutional Neural Networks for Rotating Machinery Fault Diagnosis under Noise and Trend Items
por: Dong, Han, et al.
Publicado: (2022)

Fault Diagnosis of Rotating Machinery: A Highly Efficient and Lightweight Framework Based on a Temporal Convolutional Network and Broad Learning System
por: Wei, Hao, et al.
Publicado: (2023)

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

A Fuzzy Fusion Rotating Machinery Fault Diagnosis Framework Based on the Enhancement Deep Convolutional Neural Networks
por: Yang, Daoguang, et al.
Publicado: (2022)

A Novel Method for Fault Diagnosis of Rotating Machinery
por: Tang, Meng, et al.
Publicado: (2022)

Fault Diagnosis of Rotating Machinery under Noisy Environment Conditions Based on a 1-D Convolutional Autoencoder and 1-D Convolutional Neural Network
por: Liu, Xingchen, et al.
Publicado: (2019)

Bearing Fault Diagnosis Using Lightweight and Robust One-Dimensional Convolution Neural Network in the Frequency Domain
por: Hakim, Mohammed, et al.
Publicado: (2022)

Lightweight Convolutional Neural Network and Its Application in Rolling Bearing Fault Diagnosis under Variable Working Conditions
por: Liu, Hengchang, et al.
Publicado: (2019)

Fault Diagnosis of Rotating Machinery Based on an Adaptive Ensemble Empirical Mode Decomposition
por: Lei, Yaguo, et al.
Publicado: (2013)

Diagnosis of Multiple Faults in Rotating Machinery Using Ensemble Learning
por: Inyang, Udeme Ibanga, et al.
Publicado: (2023)

Intelligent Fault Diagnosis of Rotary Machinery by Convolutional Neural Network with Automatic Hyper-Parameters Tuning Using Bayesian Optimization
por: Kolar, Davor, et al.
Publicado: (2021)

A Weighted Subdomain Adaptation Network for Partial Transfer Fault Diagnosis of Rotating Machinery
por: Jia, Sixiang, et al.
Publicado: (2021)

Fault Diagnosis of Wind Turbine Based on Convolution Neural Network Algorithm
por: Xiao, Wei, et al.
Publicado: (2022)

Intelligent fault diagnosis and remaining useful life prediction of rotating machinery
por: Lei, Yaguo
Publicado: (2016)

Fault Diagnosis for Rotating Machinery: A Method based on Image Processing
por: Lu, Chen, et al.
Publicado: (2016)

A Review of Early Fault Diagnosis Approaches and Their Applications in Rotating Machinery
por: Wei, Yu, et al.
Publicado: (2019)

An Imbalanced Fault Diagnosis Method Based on TFFO and CNN for Rotating Machinery
por: Zhang, Long, et al.
Publicado: (2022)

Malaria Diagnosis Using a Lightweight Deep Convolutional Neural Network
por: Magotra, Varun, et al.
Publicado: (2022)

Application of Convolutional Neural Network in Motor Bearing Fault Diagnosis
por: Zhou, Shuiqin, et al.
Publicado: (2022)

Novel Investigation of Higher Order Spectral Technologies for Fault Diagnosis of Motor-Based Rotating Machinery
por: Ciszewski, Tomasz, et al.
Publicado: (2023)

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

Lightweight-Convolutional Neural Network for Apple Leaf Disease Identification
por: Fu, Lili, et al.
Publicado: (2022)

Hybrid Loss-Constrained Lightweight Convolutional Neural Networks for Cervical Cell Classification
por: Chen, Wen, et al.
Publicado: (2022)

A Review of Fault Diagnosis Methods for Rotating Machinery Using Infrared Thermography
por: Wang, Rongcai, et al.
Publicado: (2022)

Improved Variational Mode Decomposition and CNN for Intelligent Rotating Machinery Fault Diagnosis
por: Xiao, Qiyang, et al.
Publicado: (2022)

A Lightweight Convolutional Neural Network Model for Liver Segmentation in Medical Diagnosis
por: Ahmad, Mubashir, et al.
Publicado: (2022)

An Improved MobileNet Network with Wavelet Energy and Global Average Pooling for Rotating Machinery Fault Diagnosis
por: Zhu, Fu, et al.
Publicado: (2022)

Research and Verification of Convolutional Neural Network Lightweight in BCI
por: Xu, Shipu, et al.
Publicado: (2020)

Rotating Machinery Fault Diagnosis Method by Combining Time-Frequency Domain Features and CNN Knowledge Transfer
por: Ye, Lihao, et al.
Publicado: (2021)

Fault Diagnosis for Rotating Machinery Using Vibration Measurement Deep Statistical Feature Learning
por: Li, Chuan, et al.
Publicado: (2016)

Feature Space Transformation for Fault Diagnosis of Rotating Machinery under Different Working Conditions
por: Jang, Gye-Bong, et al.
Publicado: (2021)

Individual dairy cow identification based on lightweight convolutional neural network
por: Li, Shijun, et al.
Publicado: (2021)

An Intelligent Fault Diagnosis Based on Adversarial Generating Module and Semi-supervised Convolutional Neural Network
por: Ye, Qing, et al.
Publicado: (2022)

Cellular Network Fault Diagnosis Method Based on a Graph Convolutional Neural Network
por: Amuah, Ebenezer Ackah, et al.
Publicado: (2023)

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

Cannot write session to /tmp/vufind_sessions/sess_jftj8ptgjsm0sjbf7eebafj96m