Cargando…

Vibration-Based Wear Condition Estimation of Journal Bearings Using Convolutional Autoencoders

Predictive maintenance is considered a proactive approach that capitalizes on advanced sensing technologies and data analytics to anticipate potential equipment malfunctions, enabling cost savings and improved operational efficiency. For journal bearings, predictive maintenance assumes critical sign...

Descripción completa

Detalles Bibliográficos
Autores principales:	Ates, Cihan, Höfchen, Tobias, Witt, Mario, Koch, Rainer, Bauer, Hans-Jörg
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10675279/ https://www.ncbi.nlm.nih.gov/pubmed/38005598 http://dx.doi.org/10.3390/s23229212

Ejemplares similares

A Deep Autoencoder-Based Convolution Neural Network Framework for Bearing Fault Classification in Induction Motors
por: Toma, Rafia Nishat, et al.
Publicado: (2021)

Supervised Health Stage Prediction Using Convolutional Neural Networks for Bearing Wear
por: Suh, Sungho, et al.
Publicado: (2020)

Fault Diagnosis of Rolling Bearings Based on a Residual Dilated Pyramid Network and Full Convolutional Denoising Autoencoder
por: Shi, Hongmei, et al.
Publicado: (2020)

Orthogonal Local Image Descriptors with Convolutional Autoencoders
por: Roman-Rangel, Edgar, et al.
Publicado: (2020)

Sparse Convolutional Denoising Autoencoders for Genotype Imputation
por: Chen, Junjie, et al.
Publicado: (2019)

Prognosis of Bearing and Gear Wears Using Convolutional Neural Network with Hybrid Loss Function
por: Lo, Chang-Cheng, et al.
Publicado: (2020)

Multi-Dimensional Mathematical Wear Models of Vibration Generated by Rolling Ball Bearings Made of AISI 52100 Bearing Steel
por: Zmarzły, Paweł
Publicado: (2020)

A One-Stage Ensemble Framework Based on Convolutional Autoencoder for Remaining Useful Life Estimation
por: Park, Yong-Keun, et al.
Publicado: (2022)

Properties of Journal Bearing Materials That Determine Their Wear Resistance on the Example of Aluminum-Based Alloys
por: Mironov, Alexander, et al.
Publicado: (2021)

Vibration of bearings
por: Ragulʹskis, K. M. (Kazimeras Mikolovich)
Publicado: (1979)

Remaining Useful Life Estimation Using Deep Convolutional Generative Adversarial Networks Based on an Autoencoder Scheme
por: Hou, Guisheng, et al.
Publicado: (2020)

Convolutional Autoencoder-Based Flaw Detection for Steel Wire Ropes
por: Zhang, Guoyong, et al.
Publicado: (2020)

Video Anomaly Detection Based on Convolutional Recurrent AutoEncoder
por: Wang, Bokun, et al.
Publicado: (2022)

Wear Performance of Ceramic-On-Metal Hip Bearings
por: Reinders, Jörn, et al.
Publicado: (2013)

Ovarian tumor diagnosis using deep convolutional neural networks and a denoising convolutional autoencoder
por: Jung, Yuyeon, et al.
Publicado: (2022)

Friction and Wear Reduction of Eccentric Journal Bearing Made of Sn-Based Babbitt for Ore Cone Crusher
por: Amanov, Auezhan, et al.
Publicado: (2016)

Semi-Supervised Nests of Melanocytes Segmentation Method Using Convolutional Autoencoders
por: Kucharski, Dariusz, et al.
Publicado: (2020)

Autoencoder-Inspired Convolutional Network-Based Super-Resolution Method in MRI
Publicado: (2021)

Convolutional mesh autoencoders for the 3-dimensional identification of FGFR-related craniosynostosis
por: O’ Sullivan, Eimear, et al.
Publicado: (2022)

Unsupervised feature learning for electrocardiogram data using the convolutional variational autoencoder
por: Jang, Jong-Hwan, et al.
Publicado: (2021)

Spatiotemporal trajectories in resting-state FMRI revealed by convolutional variational autoencoder
por: Zhang, Xiaodi, et al.
Publicado: (2021)

Dual Autoencoder Network with Separable Convolutional Layers for Denoising and Deblurring Images
por: Solovyeva, Elena, et al.
Publicado: (2022)

Image-Based Detection of Modifications in Assembled PCBs with Deep Convolutional Autoencoders
por: Candido de Oliveira, Diulhio, et al.
Publicado: (2023)

Investigating Beta-Variational Convolutional Autoencoders for the Unsupervised Classification of Chest Pneumonia
por: Akila, Serag Mohamed, et al.
Publicado: (2023)

Fusion of Audio and Vibration Signals for Bearing Fault Diagnosis Based on a Quadratic Convolution Neural Network
por: Yan, Jin, et al.
Publicado: (2023)

Convolutional Autoencoding and Gaussian Mixture Clustering for Unsupervised Beat-to-Beat Heart Rate Estimation of Electrocardiograms from Wearable Sensors
por: Zhong, Jun, et al.
Publicado: (2021)

Deep-Learning and Vibration-Based System for Wear Size Estimation of Railway Switches and Crossings
por: Najeh, Taoufik, et al.
Publicado: (2021)

Author Correction: Ovarian tumor diagnosis using deep convolutional neural networks and a denoising convolutional autoencoder
por: Jung, Yuyeon, et al.
Publicado: (2023)

6GCVAE: Gated Convolutional Variational Autoencoder for IPv6 Target Generation
por: Cui, Tianyu, et al.
Publicado: (2020)

Electroencephalogram Emotion Recognition Based on 3D Feature Fusion and Convolutional Autoencoder
por: An, Yanling, et al.
Publicado: (2021)

A Convolutional Autoencoder Topology for Classification in High-Dimensional Noisy Image Datasets
por: Pintelas, Emmanuel, et al.
Publicado: (2021)

GCAEMDA: Predicting miRNA-disease associations via graph convolutional autoencoder
por: Li, Lei, et al.
Publicado: (2021)

On Combining Convolutional Autoencoders and Support Vector Machines for Fault Detection in Industrial Textures
por: Tellaeche Iglesias, Alberto, et al.
Publicado: (2021)

Damage-Detection Approach for Bridges with Multi-Vehicle Loads Using Convolutional Autoencoder
por: Lee, Kanghyeok, et al.
Publicado: (2022)

CAEVT: Convolutional Autoencoder Meets Lightweight Vision Transformer for Hyperspectral Image Classification
por: Zhang, Zhiwen, et al.
Publicado: (2022)

Unsupervised clustering of SARS-CoV-2 using deep convolutional autoencoder
por: Sherif, Fayroz F., et al.
Publicado: (2022)

Convolutional autoencoder joint boundary and mask adversarial learning for fundus image segmentation
por: Zhang, Xu, et al.
Publicado: (2022)

Enhanced reptile search optimization with convolutional autoencoder for soil nutrient classification model
por: Raman, Prabavathi, et al.
Publicado: (2023)

Gait Recognition Method of Underground Coal Mine Personnel Based on Densely Connected Convolution Network and Stacked Convolutional Autoencoder
por: Liu, Xiaoyang, et al.
Publicado: (2020)

LSTM-Autoencoder for Vibration Anomaly Detection in Vertical Carousel Storage and Retrieval System (VCSRS)
por: Do, Jae Seok, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_nvvgpd9356hm09r33i702kkoa5