Cargando…

Health Status Recognition Method for Rotating Machinery Based on Multi-Scale Hybrid Features and Improved Convolutional Neural Networks

Rotating machinery is susceptible to harsh environmental interference, and fault signal features are challenging to extract, leading to difficulties in health status recognition. This paper proposes multi-scale hybrid features and improved convolutional neural networks (MSCCNN) health status identif...

Descripción completa

Detalles Bibliográficos
Autores principales:	Cao, Xiangang, Guo, Xingyu, Duan, Yong, Zhang, Fuqiang, Fan, Hongwei, Xu, Xin
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10301142/ https://www.ncbi.nlm.nih.gov/pubmed/37420853 http://dx.doi.org/10.3390/s23125688

Ejemplares similares

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

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)

Rotating machinery fault diagnosis based on a novel lightweight convolutional neural network
por: Yan, Jing, et al.
Publicado: (2021)

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

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

Recognition of Leaf Disease Using Hybrid Convolutional Neural Network by Applying Feature Reduction
por: Kaur, Prabhjot, et al.
Publicado: (2022)

EEG-Based Emotion Recognition by Convolutional Neural Network with Multi-Scale Kernels
por: Phan, Tran-Dac-Thinh, et al.
Publicado: (2021)

Multi-Scale Feature Learning Convolutional Neural Network for Image Denoising
por: Zhang, Shuo, et al.
Publicado: (2023)

Multi-Scale Feature Fusion for Coal-Rock Recognition Based on Completed Local Binary Pattern and Convolution Neural Network
por: Liu, Xiaoyang, et al.
Publicado: (2019)

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)

Multi-Filter Clustering Fusion for Feature Selection in Rotating Machinery Fault Classification
por: Mochammad, Solichin, 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)

Multi-Scale Feature Fusion Convolutional Neural Network for Indoor Small Target Detection
por: Huang, Li, et al.
Publicado: (2022)

Speech Emotion Recognition Using Convolution Neural Networks and Multi-Head Convolutional Transformer
por: Ullah, Rizwan, et al.
Publicado: (2023)

A Novel Bilinear Feature and Multi-Layer Fused Convolutional Neural Network for Tactile Shape Recognition
por: Chu, Jie, et al.
Publicado: (2020)

The Optimized Multi-Scale Permutation Entropy and Its Application in Compound Fault Diagnosis of Rotating Machinery
por: Wang, Xianzhi, et al.
Publicado: (2019)

Analysis and Recognition of Clinical Features of Diabetes Based on Convolutional Neural Network
por: Wang, Rui, et al.
Publicado: (2022)

Dual Temporal Scale Convolutional Neural Network for Micro-Expression Recognition
por: Peng, Min, et al.
Publicado: (2017)

Vibrations of rotating machinery
por: Matsushita, Osami, et al.
Publicado: (2017)

Partial Discharge Recognition with a Multi-Resolution Convolutional Neural Network
por: Li, Gaoyang, et al.
Publicado: (2018)

Dynamic graph convolutional network for assembly behavior recognition based on attention mechanism and multi-scale feature fusion
por: Chen, Chengjun, et al.
Publicado: (2022)

Convolutional neural network in rice disease recognition: accuracy, speed and lightweight
por: Ning, Hongwei, et al.
Publicado: (2023)

Image Classification Using Biomimetic Pattern Recognition with Convolutional Neural Networks Features
por: Zhou, Liangji, et al.
Publicado: (2017)

Using Non-Additive Entropy to Enhance Convolutional Neural Features for Texture Recognition
por: Florindo, Joao, et al.
Publicado: (2021)

Improved Feature Pyramid Convolutional Neural Network for Effective Recognition of Music Scores
por: Li, Lei
Publicado: (2022)

MCSM-Wri: A Small-Scale Motion Recognition Method Using WiFi Based on Multi-Scale Convolutional Neural Network
por: Ma, Shiyuan, et al.
Publicado: (2019)

Multi-Stream Convolutional Neural Network-Based Wearable, Flexible Bionic Gesture Surface Muscle Feature Extraction and Recognition
por: Liu, Wansu, et al.
Publicado: (2022)

Convolutional-de-convolutional neural networks for recognition of surgical workflow
por: Chen, Yu-wen, et al.
Publicado: (2022)

A multi-branch separable convolution neural network for pedestrian attribute recognition
por: Junejo, Imran N., et al.
Publicado: (2020)

An improved multi-input deep convolutional neural network for automatic emotion recognition
por: Chen, Peiji, et al.
Publicado: (2022)

Application of multi-layer denoising based on ensemble empirical mode decomposition in extraction of fault feature of rotating machinery
por: Gao, Kangping, et al.
Publicado: (2021)

Hybrid_DBP: Prediction of DNA-binding proteins using hybrid features and convolutional neural networks
por: Yu, Shaoyou, et al.
Publicado: (2022)

Conference on Vibrations in Rotating Machinery
por: Institution of Mechanical Engineers. London
Publicado: (1977)

Multi-Scale Attention 3D Convolutional Network for Multimodal Gesture Recognition
por: Chen, Huizhou, et al.
Publicado: (2022)

Dynamic gesture recognition based on 2D convolutional neural network and feature fusion
por: Yu, Jimin, et al.
Publicado: (2022)

Hierarchical Multi-Scale Convolutional Neural Networks for Hyperspectral Image Classification
por: Li, Simin, et al.
Publicado: (2019)

Birdsong classification based on ensemble multi-scale convolutional neural network
por: Liu, Jiang, et al.
Publicado: (2022)

Hybrid convolution neural network with channel attention mechanism for sensor-based human activity recognition
por: Mekruksavanich, Sakorn, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_i0054h11heuebnpllbj3lc18u4