Probing an intelligent predictive maintenance approach with deep learning and augmented reality for machine tools in IoT-enabled manufacturing

Sustainable service oriented equipment maintenance management of steel enterprises using a two-stage optimization approach

(2022) Wei Qin et al.   ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING

Predictive Maintenance and Intelligent Sensors in Smart Factory: Review

(2021) Martin Pech et al.   SENSORS

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

(2021) Xanthi Bampoula et al.   SENSORS

A data-driven predictive maintenance strategy based on accurate failure prognostics

(2021) Chuang Chen et al.   Eksploatacja i Niezawodnosc-Maintenance and Reliability

Prognostics and health management: A review from the perspectives of design, development and decision

(2021) Yang Hu et al.   RELIABILITY ENGINEERING & SYSTEM SAFETY

Real-Time Remote Maintenance Support Based on Augmented Reality (AR)

(2020) Dimitris Mourtzis et al.   Applied Sciences-Basel

Robustness testing framework for RUL prediction Deep LSTM networks

(2020) Mohamed Sayah et al.   ISA TRANSACTIONS

Machine Learning in Predictive Maintenance towards Sustainable Smart Manufacturing in Industry 4.0

(2020) Zeki Murat Çınar et al.   Sustainability

Deep-Convolution-Based LSTM Network for Remaining Useful Life Prediction

(2020) Meng Ma et al.   IEEE Transactions on Industrial Informatics

An enhanced convolutional neural network with enlarged receptive fields for fault diagnosis of planetary gearboxes

(2019) Yan Han et al.   COMPUTERS IN INDUSTRY

Simulation in the design and operation of manufacturing systems: state of the art and new trends

(2019) Dimitris Mourtzis   INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH

Short-term free parking berths prediction based on multitask – DBN neural network

(2019) Hongwei Zhao et al.   JOURNAL OF INTELLIGENT & FUZZY SYSTEMS

Augmented reality in support of Industry 4.0—Implementation challenges and success factors

(2019) Tariq Masood et al.   ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING

Predictive Maintenance with Sensor Data Analytics on a Raspberry Pi-Based Experimental Platform

(2019) Shang-Yi Chuang et al.   SENSORS

A systematic literature review of machine learning methods applied to predictive maintenance

(2019) Thyago P. Carvalho et al.   COMPUTERS & INDUSTRIAL ENGINEERING

Application research based on improved genetic algorithm in cloud task scheduling

(2019) Yang Sun et al.   JOURNAL OF INTELLIGENT & FUZZY SYSTEMS

Recurrent convolutional neural network: A new framework for remaining useful life prediction of machinery

(2019) Biao Wang et al.   NEUROCOMPUTING

Research of SVM ensembles in medical examination scheduling

(2019) Yi Du et al.   JOURNAL OF COMBINATORIAL OPTIMIZATION

Big data and stream processing platforms for Industry 4.0 requirements mapping for a predictive maintenance use case

(2019) Radhya Sahal et al.   JOURNAL OF MANUFACTURING SYSTEMS

A Two-Stage Transfer Learning-Based Deep Learning Approach for Production Progress Prediction in IoT-Enabled Manufacturing

(2019) Shaohua Huang et al.   IEEE Internet of Things Journal

Forecasting fault events for predictive maintenance using data-driven techniques and ARMA modeling

(2018) Marcia Baptista et al.   COMPUTERS & INDUSTRIAL ENGINEERING

A New Convolutional Neural Network-Based Data-Driven Fault Diagnosis Method

(2018) Long Wen et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Early Fault Detection of Machine Tools Based on Deep Learning and Dynamic Identification

(2018) Bo Luo et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Deploying Fog Computing in Industrial Internet of Things and Industry 4.0

(2018) Mohammad Aazam et al.   IEEE Transactions on Industrial Informatics

Deep learning for smart manufacturing: Methods and applications

(2018) Jinjiang Wang et al.   JOURNAL OF MANUFACTURING SYSTEMS

Rolling bearing fault feature learning using improved convolutional deep belief network with compressed sensing

(2018) Haidong Shao et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Asynchronous Distributed Greedy Link Scheduling in Multihop Wireless Networks

(2018) Reena Chackochan et al.   IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY

Single-machine-based joint optimization of predictive maintenance planning and production scheduling

(2018) Qinming Liu et al.   ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING

Research on virtual haptic disassembly platform considering disassembly process

(2018) YanFang Yang et al.   NEUROCOMPUTING

A novel double deep ELMs ensemble system for time series forecasting

(2017) Gang Song et al.   KNOWLEDGE-BASED SYSTEMS

A Model-Based Method for Remaining Useful Life Prediction of Machinery

(2016) Yaguo Lei et al.   IEEE TRANSACTIONS ON RELIABILITY

Research on maintenance optimal policy based on product quality control

(2016) Xiaomei Yang et al.   PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE

Challenges, Opportunities, and Future Trends of Emerging Techniques for Augmented Reality-Based Maintenance

(2015) Fabrizio Lamberti et al.   IEEE Transactions on Emerging Topics in Computing

Augmented reality on large screen for interactive maintenance instructions

(2014) Michele Fiorentino et al.   COMPUTERS IN INDUSTRY

Energy efficiency analysis of machine tools with periodic maintenance

(2014) Weigang Xu et al.   INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH

An augmented reality training platform for assembly and maintenance skills

(2012) Sabine Webel et al.   ROBOTICS AND AUTONOMOUS SYSTEMS