Cargando…

Remaining Useful Life (RUL) Prediction of Equipment in Production Lines Using Artificial Neural Networks

Predictive maintenance of production lines is important to early detect possible defects and thus identify and apply the required maintenance activities to avoid possible breakdowns. An important concern in predictive maintenance is the prediction of remaining useful life (RUL), which is an estimate...

Descripción completa

Detalles Bibliográficos
Autores principales:	Kang, Ziqiu, Catal, Cagatay, Tekinerdogan, Bedir
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7866836/ https://www.ncbi.nlm.nih.gov/pubmed/33573297 http://dx.doi.org/10.3390/s21030932

Ejemplares similares

Designing a reference architecture for health information systems
por: Tummers, Joep, et al.
Publicado: (2021)

Sensor Failure Tolerable Machine Learning-Based Food Quality Prediction Model
por: Kaya, Aydin, et al.
Publicado: (2020)

Applications of deep learning for phishing detection: a systematic literature review
por: Catal, Cagatay, et al.
Publicado: (2022)

Prediction of remaining useful life (RUL) of Komatsu excavator under reliability analysis in the Weibull-frailty model
por: Ghomghaleh, Awat, et al.
Publicado: (2020)

Correction: Prediction of remaining useful life (RUL) of Komatsu excavator under reliability analysis in the Weibull-frailty model
por: Ghomghaleh, Awat, et al.
Publicado: (2021)

Guía del fondo Rul y Azcárate /
Publicado: (1987)

Energy Load Forecasting Using a Dual-Stage Attention-Based Recurrent Neural Network
por: Ozcan, Alper, et al.
Publicado: (2021)

A Renewable and Ultrasensitive Electrochemiluminescence Immunosenor Based on Magnetic RuL@SiO(2)-Au∼RuL-Ab2 Sandwich-Type Nano-Immunocomplexes
por: Gan, Ning, et al.
Publicado: (2011)

Systems Architecture Design Pattern Catalog for Developing Digital Twins
por: Tekinerdogan, Bedir, et al.
Publicado: (2020)

New Particle Filter Based on GA for Equipment Remaining Useful Life Prediction
por: Li, Ke, et al.
Publicado: (2017)

A RUL Estimation System from Clustered Run-to-Failure Degradation Signals
por: Cho, Anthony D., et al.
Publicado: (2022)

RulNet: A Web-Oriented Platform for Regulatory Network Inference, Application to Wheat –Omics Data
por: Vincent, Jonathan, et al.
Publicado: (2015)

mintRULS: Prediction of miRNA–mRNA Target Site Interactions Using Regularized Least Square Method
por: Shakyawar, Sushil, et al.
Publicado: (2022)

Coronaviruses and people with intellectual disability: an exploratory data analysis
por: Tummers, J., et al.
Publicado: (2020)

A Systematic Review of Online Speech Therapy Systems for Intervention in Childhood Speech Communication Disorders
por: Attwell, Geertruida Aline, et al.
Publicado: (2022)

Advancing aircraft engine RUL predictions: an interpretable integrated approach of feature engineering and aggregated feature importance
por: Alomari, Yazan, et al.
Publicado: (2023)

Adaptively Lightweight Spatiotemporal Information-Extraction-Operator-Based DL Method for Aero-Engine RUL Prediction
por: Shi, Junren, et al.
Publicado: (2023)

Hybrid Degradation Equipment Remaining Useful Life Prediction Oriented Parallel Simulation considering Model Soft Switch
por: Ge, Chenglong, et al.
Publicado: (2019)

Remaining Useful Life Prognosis for Turbofan Engine Using Explainable Deep Neural Networks with Dimensionality Reduction
por: Hong, Chang Woo, et al.
Publicado: (2020)

Remaining Useful Life Prediction of Lithium-Ion Batteries Using Neural Networks with Adaptive Bayesian Learning
por: Pugalenthi, Karkulali, et al.
Publicado: (2022)

Analysis of facial emotion expression in eating occasions using deep learning
por: Yildirim, Elif, et al.
Publicado: (2023)

Edge computing - EDGE 2018: second international conference, held as part of the services conference federation, SCF 2018, Seattle, WA, USA, June 25-30, 2018, proceedings
por: Liu, Shijun, et al.
Publicado: (2018)

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

State of the practice of health information systems: a survey study amongst health care professionals in intellectual disability care
por: Tummers, Joep, et al.
Publicado: (2021)

Stress Detection Using Experience Sampling: A Systematic Mapping Study
por: Dogan, Gulin, et al.
Publicado: (2022)

Characterization of Transcriptome Remodeling during Cambium Formation Identifies MOL1 and RUL1 As Opposing Regulators of Secondary Growth
por: Agusti, Javier, et al.
Publicado: (2011)

Method for Predicting RUL of Rolling Bearings under Different Operating Conditions Based on Transfer Learning and Few Labeled Data
por: Sun, Wei, et al.
Publicado: (2022)

Light convolutional neural network by neural architecture search and model pruning for bearing fault diagnosis and remaining useful life prediction
por: Ruan, Diwang, et al.
Publicado: (2023)

Remaining Useful Life Prediction from 3D Scan Data with Genetically Optimized Convolutional Neural Networks
por: Diraco, Giovanni, et al.
Publicado: (2021)

Long Short-Term Memory Neural Network with Transfer Learning and Ensemble Learning for Remaining Useful Life Prediction
por: Wang, Lixiong, et al.
Publicado: (2022)

Model management and analytics for large scale systems
por: Tekinerdogan, Bedir, et al.
Publicado: (2020)

The Analysis of High-Frequency Finance Data using ROOT
por: Debie, P, et al.
Publicado: (2023)

A Double-Channel Hybrid Deep Neural Network Based on CNN and BiLSTM for Remaining Useful Life Prediction
por: Zhao, Chengying, et al.
Publicado: (2020)

Explainable Remaining Tool Life Prediction for Individualized Production Using Automated Machine Learning
por: Krupp, Lukas, et al.
Publicado: (2023)

The use of artificial neural network for low latency of fault detection and localisation in transmission line
por: Ogar, Vincent Nsed, et al.
Publicado: (2023)

Detecting Malware by Analyzing App Permissions on Android Platform: A Systematic Literature Review
por: Ehsan, Adeel, et al.
Publicado: (2022)

Machine Learning in Nutrition Research
por: Kirk, Daniel, et al.
Publicado: (2022)

Neural network enhanced aging time measurements of diary product remaining with infrared spectroscopy()
por: Beck, Tobias, et al.
Publicado: (2023)

Remaining useful lifetime estimation for discrete power electronic devices using physics-informed neural network
por: Lu, Zhonghai, et al.
Publicado: (2023)

A DLSTM-Network-Based Approach for Mechanical Remaining Useful Life Prediction
por: Liu, Yan, et al.
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_7q85vnfbgqud039okb5uhc5av2