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A Deep Learning Model for Predictive Maintenance in Cyber-Physical Production Systems Using LSTM Autoencoders

https://doi.org/10.3390/s21030972
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Outgoing claims: the papers this work cites, builds on, or argues with.

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Multi-Disciplinary Engineering for Cyber-Physical Production Systems
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Introduction to the Multi-Disciplinary Engineering for Cyber-Physical Production Systems
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Deep neural network based framework for complex correlations in engineering metrics
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Predictions for COVID-19 with deep learning models of LSTM, GRU and Bi-LSTM
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A systematic literature review of machine learning methods applied to predictive maintenance
inferredcites →https://doi.org/10.1016/j.cie.2020.106889openalex-snapshot
Predictive maintenance in the Industry 4.0: A systematic literature review
inferredcites →https://doi.org/10.1016/j.cie.2020.106948openalex-snapshot
The experimental application of popular machine learning algorithms on predictive maintenance and the design of IIoT based condition monitoring system
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Cloud-enabled prognosis for manufacturing
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Industry 4.0: A bibliometric analysis and detailed overview
inferredcites →https://doi.org/10.1016/j.ifacol.2019.11.567openalex-snapshot
Anomaly detection using Long Short Term Memory Networks and its applications in Supply Chain Management
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Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management
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Robustness testing framework for RUL prediction Deep LSTM networks
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Short-term runoff prediction with GRU and LSTM networks without requiring time step optimization during sample generation
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Predicting flood susceptibility using LSTM neural networks
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Forecasting financial time series using a low complexity recurrent neural network and evolutionary learning approach
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An efficient predictive analytics system for high dimensional big data
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Long-term gear life prediction based on ordered neurons LSTM neural networks
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Fault diagnosis of multi-channel data by the CNN with the multilinear principal component analysis
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Novel suboptimal approaches for hyperparameter tuning of deep neural network [under the shelf of optical communication]
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Deep Learning for Improved System Remaining Life Prediction
inferredcites →https://doi.org/10.1016/j.procs.2020.01.020openalex-snapshot
Embedded Bi-directional GRU and LSTMLearning Models to Predict Disasterson Twitter Data
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Remaining Useful Life Prediction using Deep Learning Approaches: A Review
inferredcites →https://doi.org/10.1016/j.rcim.2019.101919openalex-snapshot
On a containerized approach for the dynamic planning and control of a cyber - physical production system
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Internet of Things and Big Data as enablers for business digitalization strategies
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Unsupervised Pre-training of a Deep LSTM-based Stacked Autoencoder for Multivariate Time Series Forecasting Problems
inferredcites →https://doi.org/10.1080/0951192x.2015.1130257openalex-snapshot
A concept for context-aware computing in manufacturing: the white goods case
inferredcites →https://doi.org/10.1080/0951192x.2019.1686173openalex-snapshot
The use of Digital Twin for predictive maintenance in manufacturing
inferredcites →https://doi.org/10.1109/icit.2018.8352377openalex-snapshot
A Bayesian network based learning system for modelling faults in large-scale manufacturing
inferredcites →https://doi.org/10.1109/mie.2014.2312079openalex-snapshot
Industrie 4.0: Hit or Hype? [Industry Forum]
inferredcites →https://doi.org/10.1109/smc.2016.7844673openalex-snapshot
Deep Learning for solar power forecasting — An approach using AutoEncoder and LSTM Neural Networks
inferredcites →https://doi.org/10.1109/tie.2019.2891463openalex-snapshot
A Bidirectional LSTM Prognostics Method Under Multiple Operational Conditions
inferredcites →https://doi.org/10.1109/tim.2010.2078296openalex-snapshot
Prognosis of Defect Propagation Based on Recurrent Neural Networks
inferredcites →https://doi.org/10.1109/vtc2020-spring48590.2020.9128456openalex-snapshot
Low Complexity Autoencoder based End-to-End Learning of Coded Communications Systems
inferredcites →https://doi.org/10.1145/3318299.3318325openalex-snapshot
Attention Based Echo State Network
inferredcites →https://doi.org/10.11591/ijece.v9i4.pp2620-2626openalex-snapshot
Online Data Preprocessing: A Case Study Approach
inferredcites →https://doi.org/10.1371/journal.pone.0180944openalex-snapshot
A deep learning framework for financial time series using stacked autoencoders and long-short term memory
inferredcites →https://doi.org/10.3390/en12183454openalex-snapshot
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inferredcites →https://doi.org/10.3390/info10040144openalex-snapshot
Double Deep Autoencoder for Heterogeneous Distributed Clustering
inferredcites →https://doi.org/10.3390/s16060795openalex-snapshot
Tool Condition Monitoring and Remaining Useful Life Prognostic Based on a Wireless Sensor in Dry Milling Operations
inferredcites →https://doi.org/10.3390/s17112524openalex-snapshot
Remaining Useful Life Estimation of Insulated Gate Biploar Transistors (IGBTs) Based on a Novel Volterra k-Nearest Neighbor Optimally Pruned Extreme Learning Machine (VKOPP) Model Using Degradation Data
inferredcites →https://doi.org/10.3390/s19132946openalex-snapshot
An AutoEncoder and LSTM-Based Traffic Flow Prediction Method
inferredcites →https://doi.org/10.3390/s19183884openalex-snapshot
Predictive Maintenance with Sensor Data Analytics on a Raspberry Pi-Based Experimental Platform
inferredcites →https://doi.org/10.3390/s20082328openalex-snapshot
Big Data Analytics and Structural Health Monitoring: A Statistical Pattern Recognition-Based Approach
inferredcites →https://doi.org/10.48550/arxiv.1502.04681openalex-snapshot
Unsupervised Learning of Video Representations using LSTMs
inferredcites →https://doi.org/10.65215/2q58a426openalex-snapshot
Attention Is All You Need

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Cyber-Physical Power Systems: A Comprehensive Review About Drivers, Standards, and Future Perspectives
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Reliability‐Oriented Multi‐Machine Preventive Maintenance and Replacement Scheduling Under Degradation Dynamics
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An Artificial Intelligence-based Integrated Framework for Lean and Smart Manufacturing: A Case Study of the Rail Industry
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Advances in Modeling, Analysis, and Control of Manufacturing Systems: Methods, Gaps, and Research Frontiers
inferred← citeshttps://doi.org/10.1142/s0218126622501584openalex-snapshot
Deep Q-Network with Reinforcement Learning for Fault Detection in Cyber-Physical Systems
inferred← citeshttps://doi.org/10.1145/3623378openalex-snapshot
Tackling Industrial Downtimes with Artificial Intelligence in Data-Driven Maintenance
inferred← citeshttps://doi.org/10.1145/3800000.3800022openalex-snapshot
Application of Artificial Intelligence Technology in Standardized Management of Special Equipment
inferred← citeshttps://doi.org/10.11591/ijai.v12.i4.pp1704-1712openalex-snapshot
Predictive maintenance of electromechanical systems based on enhanced generative adversarial neural network with convolutional neural network
inferred← citeshttps://doi.org/10.11591/ijece.v12i1.pp721-730openalex-snapshot
A hybrid of convolutional neural network and long short-term memory network approach to predictive maintenance
inferred← citeshttps://doi.org/10.1177/09544054261422317openalex-snapshot
A novel predictive maintenance system for automotive industry using enhanced optimization and weighted fused feature-based cascaded deep learning network
inferred← citeshttps://doi.org/10.1177/1063293x241307456openalex-snapshot
Tool health monitoring in lathe turning process by artificial intelligence techniques — a review
inferred← citeshttps://doi.org/10.1515/9783112221082-006openalex-snapshot
49Predictive Maintenance in Smart Systems with Temporal Convolutional Networks (TCN) and Autoencoders
inferred← citeshttps://doi.org/10.17512/cut/9788371939563/18openalex-snapshot
Exploring, categorisation and usage of artificial intelligence algorithms for Supply Chain Management
inferred← citeshttps://doi.org/10.18026/cbayarsos.1101334openalex-snapshot
Content Analysis of Articles on Cyber-Physical Manufacturing Systems Published in SCI and SCI Expanded Indexed Journals Between 2015-2021
inferred← citeshttps://doi.org/10.21203/rs.3.rs-8379288/v1openalex-snapshot
TinyML Anomaly Detection and Fault Prediction for Industrial Applications
inferred← citeshttps://doi.org/10.2139/ssrn.5242852openalex-snapshot
Fast Prediction of Heat Transfer and Solidification for Hot Formed Steel in Compact Strip Production Combining Mechanism Models and Machine Learning
inferred← citeshttps://doi.org/10.22153/kej.2023.10.001openalex-snapshot
A Methodology for Evaluating and Scheduling Preventive Maintenance for a Thermo-Electric Unit Using Artificial Intelligence
inferred← citeshttps://doi.org/10.2355/isijinternational.isijint-2024-098openalex-snapshot
Current Trends on Deep Learning Techniques Applied in Iron and Steel Making Field: A Review
inferred← citeshttps://doi.org/10.2355/tetsutohagane.tetsu-2022-098openalex-snapshot
Current Trends on Deep Learning Techniques Applied in Iron and Steel Making Field: A Review
inferred← citeshttps://doi.org/10.2478/ama-2023-0051openalex-snapshot
Method of Machining Centre Sliding System Fault Detection using Torque Signals and Autoencoder
inferred← citeshttps://doi.org/10.3233/atde220167openalex-snapshot
A Digital Twin-Enabled Cyber-Physical System Approach for Mixed Packaging
inferred← citeshttps://doi.org/10.32604/cmes.2022.019714openalex-snapshot
Effect Evaluation and Intelligent Prediction of Power Substation Project Considering New Energy
inferred← citeshttps://doi.org/10.3389/fenrg.2021.696785openalex-snapshot
Prognostics and Health Management in Nuclear Power Plants: An Updated Method-Centric Review With Special Focus on Data-Driven Methods
inferred← citeshttps://doi.org/10.3390/app11136101openalex-snapshot
Anticipating Future Behavior of an Industrial Press Using LSTM Networks
inferred← citeshttps://doi.org/10.3390/app11146450openalex-snapshot
Optimization of Design Parameters in LSTM Model for Predictive Maintenance
inferred← citeshttps://doi.org/10.3390/app11167322openalex-snapshot
SOPRENE: Assessment of the Spanish Armada’s Predictive Maintenance Tool for Naval Assets
inferred← citeshttps://doi.org/10.3390/app11167376openalex-snapshot
Adaptable and Explainable Predictive Maintenance: Semi-Supervised Deep Learning for Anomaly Detection and Diagnosis in Press Machine Data
inferred← citeshttps://doi.org/10.3390/app11198967openalex-snapshot
Integrating Physics and Data Driven Cyber-Physical System for Condition Monitoring of Critical Transmission Components in Smart Production Line
inferred← citeshttps://doi.org/10.3390/app112411725openalex-snapshot
A Machine-Learning-Assisted Simulation Approach for Incorporating Predictive Maintenance in Dynamic Flow-Shop Scheduling
inferred← citeshttps://doi.org/10.3390/app151910823openalex-snapshot
Industrial Scheduling in the Digital Era: Challenges, State-of-the-Art Methods, and Deep Learning Perspectives
inferred← citeshttps://doi.org/10.3390/app16062689openalex-snapshot
A Low-Cost Predictive Maintenance System for CO2 Laser Cutting Machines Based on Multi-Sensor Data and Supervised Machine Learning
inferred← citeshttps://doi.org/10.3390/computers13120325openalex-snapshot
A Novel End-to-End Provenance System for Predictive Maintenance: A Case Study for Industrial Machinery Predictive Maintenance
inferred← citeshttps://doi.org/10.3390/electronics13030639openalex-snapshot
Improvement of Industrial Maintenance Plans through Assistance-Driven Reliability-Centered Maintenance and Case-Based Reasoning Design
inferred← citeshttps://doi.org/10.3390/electronics13091700openalex-snapshot
A Comparative Study of Deep-Learning Autoencoders (DLAEs) for Vibration Anomaly Detection in Manufacturing Equipment
inferred← citeshttps://doi.org/10.3390/electronics14163289openalex-snapshot
Real-Time Concrete Workability Estimation in Transit via an IoT-Enabled Cyber-Physical System
inferred← citeshttps://doi.org/10.3390/en15196909openalex-snapshot
PHM SURVEY: Implementation of Prognostic Methods for Monitoring Industrial Systems
inferred← citeshttps://doi.org/10.3390/en18195311openalex-snapshot
Deep Learning Models Applied Flowrate Estimation in Offshore Wells with Electric Submersible Pump
inferred← citeshttps://doi.org/10.3390/engproc2025112070openalex-snapshot
Predictive Maintenance Approaches: A Systematic Literature Review
inferred← citeshttps://doi.org/10.3390/fi15060199openalex-snapshot
Deep Neural Networks for Spatial-Temporal Cyber-Physical Systems: A Survey
inferred← citeshttps://doi.org/10.3390/info15030153openalex-snapshot
A Survey of AI Techniques in IoT Applications with Use Case Investigations in the Smart Environmental Monitoring and Analytics in Real-Time IoT Platform
inferred← citeshttps://doi.org/10.3390/jmmp6050108openalex-snapshot
Machine Learning Application Using Cost-Effective Components for Predictive Maintenance in Industry: A Tube Filling Machine Case Study
inferred← citeshttps://doi.org/10.3390/machines10110974openalex-snapshot
A New Model for Remaining Useful Life Prediction Based on NICE and TCN-BiLSTM under Missing Data
inferred← citeshttps://doi.org/10.3390/machines11020191openalex-snapshot
zPasteurAIzer: An AI-Enabled Solution for Product Quality Monitoring in Tunnel Pasteurization Machines
inferred← citeshttps://doi.org/10.3390/make7040111openalex-snapshot
Transfer Learning for Generalized Safety Risk Detection in Industrial Video Operations
inferred← citeshttps://doi.org/10.3390/math12071089openalex-snapshot
Predictive Maintenance with Linguistic Text Mining
inferred← citeshttps://doi.org/10.3390/s23115010openalex-snapshot
Data Science Methods and Tools for Industry 4.0: A Systematic Literature Review and Taxonomy
inferred← citeshttps://doi.org/10.3390/s23146502openalex-snapshot
Implementation of a Sequence-to-Sequence Stacked Sparse Long Short-Term Memory Autoencoder for Anomaly Detection on Multivariate Timeseries Data of Industrial Blower Ball Bearing Units
inferred← citeshttps://doi.org/10.3390/s24103215openalex-snapshot
Condition Monitoring and Predictive Maintenance of Assets in Manufacturing Using LSTM-Autoencoders and Transformer Encoders
inferred← citeshttps://doi.org/10.3390/s25134164openalex-snapshot
Fault Detection of Cyber-Physical Systems Using a Transfer Learning Method Based on Pre-Trained Transformers
inferred← citeshttps://doi.org/10.3390/s25134224openalex-snapshot
A Lightweight Transformer Edge Intelligence Model for RUL Prediction Classification
inferred← citeshttps://doi.org/10.3390/su142114536openalex-snapshot
A Systematic Literature Review of the Predictive Maintenance from Transportation Systems Aspect
inferred← citeshttps://doi.org/10.3390/technologies10050098openalex-snapshot
Digitization of Manufacturing Processes: From Sensing to Twining
inferred← citeshttps://doi.org/10.3390/technologies13020067openalex-snapshot
A Survey on Data Mining for Data-Driven Industrial Assets Maintenance
inferred← citeshttps://doi.org/10.4018/979-8-2600-0981-9.ch008openalex-snapshot
Systems Theory of Pathology Involving Machine Learning and Deep Learning
inferred← citeshttps://doi.org/10.4018/979-8-3693-7974-5.ch021openalex-snapshot
Integrating Machine Learning With Industrial Automation for Enhanced Predictive Maintenance
inferred← citeshttps://doi.org/10.4018/joeuc.369157openalex-snapshot
Intelligent Monitoring of Industrial Equipment
inferred← citeshttps://doi.org/10.48084/etasr.12455openalex-snapshot
A Systematic Review of AI and IoT-Powered Smart Maintenance Methods in Industrial Application Domains
inferred← citeshttps://doi.org/10.48550/arxiv.2011.10996openalex-snapshot
Predictive maintenance on event logs: Application on an ATM fleet
inferred← citeshttps://doi.org/10.5220/0012146700003541openalex-snapshot
On Data-Preprocessing for Effective Predictive Maintenance on Multi-Purpose Machines
inferred← citeshttps://doi.org/10.53052/9788366249981.09openalex-snapshot
MOŻLIWOŚCI WYKORZYSTANIA GŁĘBOKICH SIECI NEURONOWYCH W KONSERWACJI PREDYKCYJNEJ
inferred← citeshttps://doi.org/10.5772/intechopen.1015854openalex-snapshot
Predictive Maintenance – An Overview
inferred← citeshttps://doi.org/10.58414/scientifictemper.2024.15.2.34openalex-snapshot
A combined framework based on LSTM autoencoder and XGBoost with adaptive threshold classification for credit card fraud detection
inferred← citeshttps://doi.org/10.58837/chula.the.2021.807openalex-snapshot
การตรวจจบความแปลกใหมเพอการบำรงรกษาเชงคาดการณของคอมเพรสเซอรแบบลกสบดวยตวเขารหสอตโนมตประเภทหนวยความจำระยะสนแบบยาว
inferred← citeshttps://doi.org/10.70675/784e1763zd052z42cbz8b6azabdc3b2bc7dcopenalex-snapshot
Modélisation d’une assistance décisionnelle basée sur l’intelligence artificielle pour les systèmes cyber-physiques : Application à la maintenance dans le domaine du Transport
inferred← citeshttps://doi.org/10.70675/e56b8e84z0841z4df2za4cbzaadea07e2d95openalex-snapshot
Time series classification with Shapelets : Application to predictive maintenance on event logs
inferred← citeshttps://doi.org/10.7736/jkspe.023.068openalex-snapshot
Anomaly Detection in a Combined Driving System based on Unsupervised Learning
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.