Cargando…

Proactive Fault Diagnosis of a Radiator: A Combination of Gaussian Mixture Model and LSTM Autoencoder

Radiator reliability is crucial in environments characterized by high temperatures and friction, where prompt interventions are often required to prevent system failures. This study introduces a proactive approach to radiator fault diagnosis, leveraging the integration of the Gaussian Mixture Model...

Descripción completa

Detalles Bibliográficos
Autores principales:	Lee, Jeong-Geun, Kim, Deok-Hwan, Lee, Jang Hyun
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10649564/ https://www.ncbi.nlm.nih.gov/pubmed/37960388 http://dx.doi.org/10.3390/s23218688

Ejemplares similares

Sensor and Component Fault Detection and Diagnosis for Hydraulic Machinery Integrating LSTM Autoencoder Detector and Diagnostic Classifiers
por: Mallak, Ahlam, et al.
Publicado: (2021)

Novel Bearing Fault Diagnosis Using Gaussian Mixture Model-Based Fault Band Selection
por: Maliuk, Andrei S., et al.
Publicado: (2021)

Proactive Fault Prediction of Fog Devices Using LSTM-CRP Conceptual Framework for IoT Applications
por: H, Sabireen, et al.
Publicado: (2023)

A Convolutional Autoencoder Based Fault Diagnosis Method for a Hydraulic Solenoid Valve Considering Unknown Faults
por: Yoo, Seungjin, et al.
Publicado: (2023)

Transformer fault diagnosis using continuous sparse autoencoder
por: Wang, Lukun, et al.
Publicado: (2016)

Fault Detection and Diagnosis Using Combined Autoencoder and Long Short-Term Memory Network
por: Park, Pangun, et al.
Publicado: (2019)

Pedestrian Stride-Length Estimation Based on LSTM and Denoising Autoencoders
por: Wang, Qu, et al.
Publicado: (2019)

An AutoEncoder and LSTM-Based Traffic Flow Prediction Method
por: Wei, Wangyang, et al.
Publicado: (2019)

Variational-LSTM autoencoder to forecast the spread of coronavirus across the globe
por: Ibrahim, Mohamed R., et al.
Publicado: (2021)

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

Combination of VMD Mapping MFCC and LSTM: A New Acoustic Fault Diagnosis Method of Diesel Engine
por: Yan, Hao, et al.
Publicado: (2022)

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)

Graph embedding and Gaussian mixture variational autoencoder network for end-to-end analysis of single-cell RNA sequencing data
por: Xu, Junlin, et al.
Publicado: (2023)

Fault Diagnosis of Permanent Magnet Synchronous Motor Based on Stacked Denoising Autoencoder
por: Xu, Xiaowei, et al.
Publicado: (2021)

Fault Detection and Diagnosis in Industrial Processes with Variational Autoencoder: A Comprehensive Study
por: Zhu, Jinlin, et al.
Publicado: (2021)

A Novel Fault Diagnosis Method for Denoising Autoencoder Assisted by Digital Twin
por: Cai, Wenan, et al.
Publicado: (2022)

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

Research on Bearing Fault Diagnosis Method Based on Filter Features of MOMLMEDA and LSTM
por: Li, Yong, et al.
Publicado: (2019)

Fault Diagnosis of the Dynamic Chemical Process Based on the Optimized CNN-LSTM Network
por: Chen, Honghua, et al.
Publicado: (2022)

Denoising Vanilla Autoencoder for RGB and GS Images with Gaussian Noise
por: Miranda-González, Armando Adrián, et al.
Publicado: (2023)

Deep Convolutional Neural Network with Deconvolution and a Deep Autoencoder for Fault Detection and Diagnosis
por: Kanno, Yasuhiro, et al.
Publicado: (2022)

Improved Fault Diagnosis in Hydraulic Systems with Gated Convolutional Autoencoder and Partially Simulated Data
por: Gareev, Albert, et al.
Publicado: (2021)

Prediction model of sparse autoencoder-based bidirectional LSTM for wastewater flow rate
por: Huang, Jianying, et al.
Publicado: (2022)

Wavelet LSTM for Fault Forecasting in Electrical Power Grids
por: Branco, Nathielle Waldrigues, et al.
Publicado: (2022)

Intelligent Fault Diagnosis of Liquid Rocket Engine via Interpretable LSTM with Multisensory Data
por: Zhang, Xiaoguang, et al.
Publicado: (2023)

Autoencoder-Ensemble-Based Unsupervised Selection of Production-Relevant Variables for Context-Aware Fault Diagnosis
por: Kaupp, Lukas, et al.
Publicado: (2022)

A Fault-Diagnosis Method for Railway Turnout Systems Based on Improved Autoencoder and Data Augmentation
por: Li, Mengyang, et al.
Publicado: (2022)

Fault Diagnosis of Wind Turbine Gearbox Based on the Optimized LSTM Neural Network with Cosine Loss
por: Yin, Aijun, et al.
Publicado: (2020)

Fault Diagnosis of Rolling Bearing Based on HPSO Algorithm Optimized CNN-LSTM Neural Network
por: Tian, He, et al.
Publicado: (2023)

Combined Gaussian Mixture Model and Pathfinder Algorithm for Data Clustering
por: Huang, Huajuan, et al.
Publicado: (2023)

Detection of Corona Faults in Switchgear by Using 1D-CNN, LSTM, and 1D-CNN-LSTM Methods
por: Mohammed Alsumaidaee, Yaseen Ahmed, et al.
Publicado: (2023)

A Variational Stacked Autoencoder with Harmony Search Optimizer for Valve Train Fault Diagnosis of Diesel Engine †
por: Chen, Kun, et al.
Publicado: (2019)

A Survey on Proactive, Active and Passive Fault Diagnosis Protocols for WSNs: Network Operation Perspective
por: Mehmood, Amjad, et al.
Publicado: (2018)

Semi-Supervised Framework with Autoencoder-Based Neural Networks for Fault Prognosis
por: da Rosa, Tiago Gaspar, et al.
Publicado: (2022)

A Novel Approach on Deep Learning—Based Decision Support System Applying Multiple Output LSTM-Autoencoder: Focusing on Identifying Variations by PHSMs’ Effect over COVID-19 Pandemic
por: Jang, Yong-Ju, et al.
Publicado: (2022)

Spike sorting with Gaussian mixture models
por: Souza, Bryan C., et al.
Publicado: (2019)

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

An Unsupervised Deep Feature Learning Model Based on Parallel Convolutional Autoencoder for Intelligent Fault Diagnosis of Main Reducer
por: Ye, Qing, et al.
Publicado: (2021)

Photovoltaic Array Fault Diagnosis Based on Gaussian Kernel Fuzzy C-Means Clustering Algorithm
por: Liu, Shengyang, et al.
Publicado: (2019)

Detection of price bubbles in Istanbul housing market using LSTM autoencoders: a district-based approach
por: Ayan, Ebubekir, et al.
Publicado: (2021)

Cannot write session to /tmp/vufind_sessions/sess_8l5hsb53a37hgbckdh6gma8bn8