Cargando…

CNN-LSTM-Based Prognostics of Bidirectional Converters for Electric Vehicles’ Machine

This paper proposes an approach to estimate the state of health of DC-DC converters that feed the electrical system of an electric vehicle. They have an important role in providing a smooth and rectified DC voltage to the electric machine. Thus, it is important to diagnose the actual status and pred...

Descripción completa

Detalles Bibliográficos
Autores principales:	Rojas-Dueñas, Gabriel, Riba, Jordi-Roger, Moreno-Eguilaz, Manuel
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8588489/ https://www.ncbi.nlm.nih.gov/pubmed/34770386 http://dx.doi.org/10.3390/s21217079

Ejemplares similares

Tracking Resistance in Polymeric Insulation Materials for High-Voltage Electrical Mobility Applications Evaluated by Existing Test Methods: Identified Research Needs
por: Riba, Jordi-Roger, et al.
Publicado: (2023)

Electrocardiogram generation with a bidirectional LSTM-CNN generative adversarial network
por: Zhu, Fei, et al.
Publicado: (2019)

Performance Evaluation of Solar-Blind Gas-Filled Sensors to Detect Electrical Discharges for Low-Pressure Aircraft Applications
por: Riba, Jordi-Roger, et al.
Publicado: (2022)

Vehicle Destination Prediction Using Bidirectional LSTM with Attention Mechanism
por: Casabianca, Pietro, et al.
Publicado: (2021)

A Bidirectional Versatile Buck–Boost Converter Driver for Electric Vehicle Applications
por: González-Castaño, Catalina, et al.
Publicado: (2021)

Energy Balance of Wireless Sensor Nodes Based on Bluetooth Low Energy and Thermoelectric Energy Harvesting
por: Liu, Yuming, et al.
Publicado: (2023)

Experimental Study of Visual Corona under Aeronautic Pressure Conditions Using Low-Cost Imaging Sensors
por: Riba, Jordi-Roger, et al.
Publicado: (2020)

Insulation Failure Quantification Based on the Energy of Digital Images Using Low-Cost Imaging Sensors
por: Riba, Jordi-Roger, et al.
Publicado: (2020)

Corona Discharge Characteristics under Variable Frequency and Pressure Environments
por: Bas-Calopa, Pau, et al.
Publicado: (2021)

Measurement of Corona Discharges under Variable Geometry, Frequency and Pressure Environment
por: Bas-Calopa, Pau, et al.
Publicado: (2022)

LSTMCNNsucc: A Bidirectional LSTM and CNN-Based Deep Learning Method for Predicting Lysine Succinylation Sites
por: Huang, Guohua, et al.
Publicado: (2021)

Analysis of a Smart Sensor Based Solution for Smart Grids Real-Time Dynamic Thermal Line Rating
por: Liu, Yuming, et al.
Publicado: (2021)

Surface Discharges Performance of ETFE- and PTFE-Insulated Wires for Aircraft Applications
por: Riba, Jordi-Roger, et al.
Publicado: (2022)

On-Line Core Losses Determination in ACSR Conductors for DLR Applications
por: Riba, Jordi-Roger, et al.
Publicado: (2022)

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)

Arc Tracking Control in Insulation Systems for Aeronautic Applications: Challenges, Opportunities, and Research Needs
por: Riba, Jordi-Roger, et al.
Publicado: (2020)

On-Line Remaining Useful Life Estimation of Power Connectors Focused on Predictive Maintenance
por: Riba, Jordi-Roger, et al.
Publicado: (2021)

CNN-Bi-LSTM: A Complex Environment-Oriented Cattle Behavior Classification Network Based on the Fusion of CNN and Bi-LSTM
por: Gao, Guohong, et al.
Publicado: (2023)

Machine Fault Detection Using a Hybrid CNN-LSTM Attention-Based Model
por: Borré, Andressa, et al.
Publicado: (2023)

CNN-LSTM vs. LSTM-CNN to Predict Power Flow Direction: A Case Study of the High-Voltage Subnet of Northeast Germany
por: Aksan, Fachrizal, et al.
Publicado: (2023)

Utilizing CNN-LSTM techniques for the enhancement of medical systems
por: Rayan, Alanazi, et al.
Publicado: (2023)

Improving the Efficiency of Multistep Short-Term Electricity Load Forecasting via R-CNN with ML-LSTM
por: Alsharekh, Mohammed F., et al.
Publicado: (2022)

Accurate prediction of electricity consumption using a hybrid CNN-LSTM model based on multivariable data
por: Chung, Jaewon, et al.
Publicado: (2022)

Automatic Diagnosis of Schizophrenia in EEG Signals Using CNN-LSTM Models
por: Shoeibi, Afshin, et al.
Publicado: (2021)

Software defect prediction using hybrid model (CBIL) of convolutional neural network (CNN) and bidirectional long short-term memory (Bi-LSTM)
por: Farid, Ahmed Bahaa, et al.
Publicado: (2021)

NLOS Identification in WLANs Using Deep LSTM with CNN Features
por: Nguyen, Viet-Hung, et al.
Publicado: (2018)

A Deep CNN-LSTM Framework for Fast Video Coding
por: Bouaafia, Soulef, et al.
Publicado: (2020)

CNN and LSTM-Based Emotion Charting Using Physiological Signals
por: Dar, Muhammad Najam, et al.
Publicado: (2020)

Attention Based CNN-ConvLSTM for Pedestrian Attribute Recognition
por: Li, Yang, et al.
Publicado: (2020)

Predicting Geolocation of Tweets: Using Combination of CNN and BiLSTM
por: Mahajan, Rhea, et al.
Publicado: (2021)

ECG signal classification based on deep CNN and BiLSTM
por: Cheng, Jinyong, et al.
Publicado: (2021)

Intelligent automatic sleep staging model based on CNN and LSTM
por: Zhuang, Lan, et al.
Publicado: (2022)

The Evaluation on the Credit Risk of Enterprises with the CNN-LSTM-ATT Model
por: Zhang, Lei
Publicado: (2022)

Development of CNN-LSTM combinational architecture for COVID-19 detection
por: Narula, Abhinav, et al.
Publicado: (2022)

Automatic Detection of Atrial Fibrillation Based on CNN-LSTM and Shortcut Connection
por: Ping, Yongjie, et al.
Publicado: (2020)

Classification of Mental Stress Using CNN-LSTM Algorithms with Electrocardiogram Signals
por: Kang, Mingu, et al.
Publicado: (2021)

Language Processing Model Construction and Simulation Based on Hybrid CNN and LSTM
por: Zhang, Shujing
Publicado: (2021)

A hybrid CNN-LSTM model for pre-miRNA classification
por: Tasdelen, Abdulkadir, et al.
Publicado: (2021)

Attention based automated radiology report generation using CNN and LSTM
por: Sirshar, Mehreen, et al.
Publicado: (2022)

Aeroengine Working Condition Recognition Based on MsCNN-BiLSTM
por: Zheng, Jinsong, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_djspclq6dcud5gpru55g0dbaca