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

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

Condition monitoring of industrial equipment, combined with machine learning algorithms, may significantly improve maintenance activities on modern cyber-physical production systems. However, data of proper quality and of adequate quantity, modeling both good operational conditions as well as abnorm...

Full description

Bibliographic Details
Main Authors:	Xanthi Bampoula, Georgios Siaterlis, Nikolaos Nikolakis, Kosmas Alexopoulos
Format:	Article
Language:	English
Published:	MDPI AG 2021-02-01
Series:	Sensors
Subjects:	cyber-physical production systems deep learning artificial intelligence Long Short-Term Memory (LSTM) predictive maintenance remaining useful life
Online Access:	https://www.mdpi.com/1424-8220/21/3/972

Similar Items

Prediction of Bearing Remaining Service Life Based on CNN-LSTM
by: Cai Weiwei, et al.
Published: (2022-01-01)

Optimization of Design Parameters in LSTM Model for Predictive Maintenance
by: Do-Gyun Kim, et al.
Published: (2021-07-01)

Energy-Based Prognosis of the Remaining Useful Life of the Coating Segments in Hot Rolling Mill
by: Ioannis Anagiannis, et al.
Published: (2020-09-01)

Improved LSTM Method of Predicting Cryptocurrency Price Using Short-Term Data
by: Risna Sari, et al.
Published: (2023-02-01)

LSTM-Based Broad Learning System for Remaining Useful Life Prediction
by: Xiaojia Wang, et al.
Published: (2022-06-01)

A Prognostic and Health Management Framework for Aero-Engines Based on a Dynamic Probability Model and LSTM Network
by: Yufeng Huang, et al.
Published: (2022-06-01)

Bearing Remaining Useful Life Prediction Based on a Scaled Health Indicator and a LSTM Model with Attention Mechanism
by: Songhao Gao, et al.
Published: (2021-10-01)

Hybrid LSTM Neural Network for Short-Term Traffic Flow Prediction
by: Yuelei Xiao, et al.
Published: (2019-03-01)

Accurate Prediction Approach of SOH for Lithium-Ion Batteries Based on LSTM Method
by: Lijun Zhang, et al.
Published: (2023-03-01)

Proposing Multimodal Integration Model Using LSTM and Autoencoder
by: Wataru Noguchi, et al.
Published: (2016-12-01)

Classification of ECG anomaly with dynamically-biased LSTM for continuous cardiac monitoring
by: Hu, Jinhai, et al.
Published: (2024)

A Hypertuned Lightweight and Scalable LSTM Model for Hybrid Network Intrusion Detection
by: Aysha Bibi, et al.
Published: (2023-09-01)

An AutoEncoder and LSTM-Based Traffic Flow Prediction Method
by: Wangyang Wei, et al.
Published: (2019-07-01)

Multimodel Phishing URL Detection Using LSTM, Bidirectional LSTM, and GRU Models
by: Sanjiban Sekhar Roy, et al.
Published: (2022-11-01)

Short-Term Prediction in Vessel Heave Motion Based on Improved LSTM Model
by: Gang Tang, et al.
Published: (2021-01-01)

LSTM-Based Battery Remaining Useful Life Prediction With Multi-Channel Charging Profiles
by: Kyungnam Park, et al.
Published: (2020-01-01)

An Improved PF Remaining Useful Life Prediction Method Based on Quantum Genetics and LSTM
by: Yang Ge, et al.
Published: (2019-01-01)

TD-LSTM: Temporal Dependence-Based LSTM Networks for Marine Temperature Prediction
by: Jun Liu, et al.
Published: (2018-11-01)

Short-Term Load Forecasting Using an LSTM Neural Network for a Grid Operator
by: Joan Sebastian Caicedo-Vivas, et al.
Published: (2023-12-01)

A Comparative Study of the Kalman Filter and the LSTM Network for the Remaining Useful Life Prediction of SOFC
by: Chuang Sheng, et al.
Published: (2023-04-01)

Forecasting the spread of COVID-19 using LSTM network
by: Shiu Kumar, et al.
Published: (2021-06-01)

Spindle Thermal Error Prediction Based on LSTM Deep Learning for a CNC Machine Tool
by: Yu-Chi Liu, et al.
Published: (2021-06-01)

Prediction of Rainfall and Water Discharge in The Jagir River Surabaya with Long-Short-Term Memory (LSTM)
by: Retzi Yosia Lewu, et al.
Published: (2023-06-01)

A NOVEL APPROACH TO INTRUSION-DETECTION SYSTEM: COMBINING LSTM AND THE SNAKE ALGORITHM
by: sanaa Ali Jebbar, et al.
Published: (2023-12-01)

A CNN-LSTM Ship Motion Extreme Value Prediction Model
by: ZHAN Ke, ZHU Renchuan
Published: (2023-08-01)

Research on throughput prediction of 5G network based on LSTM
by: Lanlan Li, et al.
Published: (2022-06-01)

Attention-Based LSTM Network for Rotatory Machine Remaining Useful Life Prediction
by: Hao Zhang, et al.
Published: (2020-01-01)

Automatic Detection of Atrial Fibrillation Based on CNN-LSTM and Shortcut Connection
by: Yongjie Ping, et al.
Published: (2020-05-01)

Increasing the resiliency of power systems in presence of GPS spoofing attacks: A data‐driven deep‐learning algorithm
by: Mohammad Sabouri, et al.
Published: (2023-10-01)

LSTM-Based Deep Learning Models for Long-Term Tourism Demand Forecasting
by: Athanasios Salamanis, et al.
Published: (2022-11-01)

LSTM Recurrent Neural Network for Hand Gesture Recognition Using EMG Signals
by: Alejandro Toro-Ossaba, et al.
Published: (2022-09-01)

TreeLSTM: A spatiotemporal machine learning model for rainfall-runoff estimation
by: Zeqiang Chen, et al.
Published: (2023-08-01)

Application of Long Short-Term Memory (LSTM) on the Prediction of Rainfall-Runoff in Karst Area
by: Longzhang Fang, et al.
Published: (2022-01-01)

Linguistic Features and Bi-LSTM for Identification of Fake News
by: Attar Ahmed Ali, et al.
Published: (2023-07-01)

LIFE PREDICTION OF ROLLING BEARING BASED ON MULTI-RESOLUTION SINGULAR VALUE DECOMPOSITION AND ECNN-LSTM
by: XIONG Jun, et al.
Published: (2021-01-01)

LSTM-based forecasting on electric vehicles battery swapping demand: Addressing infrastructure challenge in Indonesia
by: Muhammad Zakiyullah Romdlony, et al.
Published: (2023-07-01)

Ultra-Short-Term Platform Motion Prediction Method of Large Floating Wind Turbines Based on LSTM Network
by: WEI Hui, CHEN Peng, ZHANG Ruihan, CHENG Zhengshun
Published: (2023-10-01)

Deep bidirectional LSTM for the signal detection of universal filtered multicarrier systems
by: Md. Ferdous Ahammed, et al.
Published: (2022-12-01)

Attention Autoencoder for Generative Latent Representational Learning in Anomaly Detection
by: Ariyo Oluwasanmi, et al.
Published: (2021-12-01)

Authorship Obfuscation System Development based on Long Short-term Memory Algorithm
by: Hendrik Maulana, et al.
Published: (2022-04-01)