Tackling Faults in the Industry 4.0 Era—A Survey of Machine-Learning Solutions and Key Aspects

Fault Detection and Isolation in Industrial Processes Using Deep Learning Approaches

(2019) Rahat Iqbal et al.   IEEE Transactions on Industrial Informatics

Artificial Intelligence-Driven Mechanism for Edge Computing-Based Industrial Applications

(2019) Ali Hassan Sodhro et al.   IEEE Transactions on Industrial Informatics

A review of machine learning for the optimization of production processes

(2019) Dorina Weichert et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Artificial intelligence/machine learning in manufacturing and inspection: A GE perspective

(2019) Kareem S. Aggour et al.   MRS BULLETIN

Hybrid Clouds for Data-Intensive, 5G-Enabled IoT Applications: An Overview, Key Issues and Relevant Architecture

(2019) Panagiotis Trakadas et al.   SENSORS

Industry 5.0—A Human-Centric Solution

(2019) Saeid Nahavandi   Sustainability

The role of big data analytics in industrial Internet of Things

(2019) Muhammad Habib ur Rehman et al.   Future Generation Computer Systems-The International Journal of eScience

A Global Manufacturing Big Data Ecosystem for Fault Detection in Predictive Maintenance

(2019) Wenjin Yu et al.   IEEE Transactions on Industrial Informatics

Big data for cyber physical systems in industry 4.0: a survey

(2018) Li Da Xu et al.   Enterprise Information Systems

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

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

LiftingNet: A Novel Deep Learning Network With Layerwise Feature Learning From Noisy Mechanical Data for Fault Classification

(2018) Jun Pan et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Deep Learning for Smart Industry: Efficient Manufacture Inspection System with Fog Computing

(2018) Liangzhi Li et al.   IEEE Transactions on Industrial Informatics

Deploying Fog Computing in Industrial Internet of Things and Industry 4.0

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

Industry 4.0: state of the art and future trends

(2018) Li Da Xu et al.   INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH

Deep learning for smart manufacturing: Methods and applications

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

Patented intelligence: Cloning human decision models for Industry 4.0

(2018) Vagan Terziyan et al.   JOURNAL OF MANUFACTURING SYSTEMS

Data-driven smart manufacturing

(2018) Fei Tao et al.   JOURNAL OF MANUFACTURING SYSTEMS

Combining Fog Computing with Sensor Mote Machine Learning for Industrial IoT

(2018) Mehrzad Lavassani et al.   SENSORS

Comparison of Data Preprocessing Approaches for Applying Deep Learning to Human Activity Recognition in the Context of Industry 4.0

(2018) Xiaochen Zheng et al.   SENSORS

SVM-Based Dynamic Reconfiguration CPS for Manufacturing System in Industry 4.0

(2018) Hyun-Jun Shin et al.   WIRELESS COMMUNICATIONS & MOBILE COMPUTING

A Symbiotic Human–Machine Learning Approach for Production Ramp-up

(2018) Stefanos Doltsinis et al.   IEEE Transactions on Human-Machine Systems

A New Threat Intelligence Scheme for Safeguarding Industry 4.0 Systems

(2018) Nour Moustafa et al.   IEEE Access

Industrial Big Data Analytics for Prediction of Remaining Useful Life Based on Deep Learning

(2018) Hehua Yan et al.   IEEE Access

Digital Twin and Big Data Towards Smart Manufacturing and Industry 4.0: 360 Degree Comparison

(2018) Qinglin Qi et al.   IEEE Access

Smart Factory of Industry 4.0: Key Technologies, Application Case, and Challenges

(2018) Baotong Chen et al.   IEEE Access

Toward New-Generation Intelligent Manufacturing

(2018) Ji Zhou et al.   Engineering

IDARTS – Towards intelligent data analysis and real-time supervision for industry 4.0

(2018) Ricardo Silva Peres et al.   COMPUTERS IN INDUSTRY

Using multiple feature spaces-based deep learning for tool condition monitoring in ultra-precision manufacturing

(2018) Chengming Shi et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

Machine Health Monitoring Using Adaptive Kernel Spectral Clustering and Deep Long Short-Term Memory Recurrent Neural Networks

(2018)   IEEE Transactions on Industrial Informatics

Literature review of Industry 4.0 and related technologies

(2018) Ercan Oztemel et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Performance Analysis of IoT-Based Sensor, Big Data Processing, and Machine Learning Model for Real-Time Monitoring System in Automotive Manufacturing

(2018) Muhammad Syafrudin et al.   SENSORS

A Survey of Anomaly Detection in Industrial Wireless Sensor Networks with Critical Water System Infrastructure as a Case Study

(2018) Daniel Ramotsoela et al.   SENSORS

Smart Machining Process Using Machine Learning: A Review and Perspective on Machining Industry

(2018) Dong-Hyeon Kim et al.   International Journal of Precision Engineering and Manufacturing-Green Technology

Enabling Technologies for Operator 4.0: A Survey

(2018) Tamás Ruppert et al.   Applied Sciences-Basel

Artificial Intelligence for Cloud-assisted Smart Factory

(2018) Jiafu Wan et al.   IEEE Access

A study on smart factory-based ambient intelligence context-aware intrusion detection system using machine learning

(2018) Seong-Taek Park et al.   Journal of Ambient Intelligence and Humanized Computing

The Tactile Internet for Industries: A Review

(2018) Adnan Aijaz et al.   PROCEEDINGS OF THE IEEE

Industry 4.0: A bibliometric analysis and detailed overview

(2018) Pranab K. Muhuri et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Deep Transfer Learning Based on Sparse Autoencoder for Remaining Useful Life Prediction of Tool in Manufacturing

(2018) Chuang Sun et al.   IEEE Transactions on Industrial Informatics

Data fusion and machine learning for industrial prognosis: Trends and perspectives towards Industry 4.0

(2018) Alberto Diez-Olivan et al.   Information Fusion

Detecting cyber-physical attacks in CyberManufacturing systems with machine learning methods

(2017) Mingtao Wu et al.   JOURNAL OF INTELLIGENT MANUFACTURING

A Comparative Study on Machine Learning Algorithms for Smart Manufacturing: Tool Wear Prediction Using Random Forests

(2017) Dazhong Wu et al.   JOURNAL OF MANUFACTURING SCIENCE AND ENGINEERING-TRANSACTIONS OF THE ASME

Framework and development of fault detection classification using IoT device and cloud environment

(2017) Hyunsoo Lee   JOURNAL OF MANUFACTURING SYSTEMS

A fog computing-based framework for process monitoring and prognosis in cyber-manufacturing

(2017) Dazhong Wu et al.   JOURNAL OF MANUFACTURING SYSTEMS

Automatic machine status prediction in the era of Industry 4.0: Case study of machines in a spring factory

(2017) Cheng-Ju Kuo et al.   JOURNAL OF SYSTEMS ARCHITECTURE

A Hybrid Feature Model and Deep-Learning-Based Bearing Fault Diagnosis

(2017) Muhammad Sohaib et al.   SENSORS

Classification of Imbalanced Data by Oversampling in Kernel Space of Support Vector Machines

(2017) Josey Mathew et al.   IEEE Transactions on Neural Networks and Learning Systems

Applications of artificial intelligence in intelligent manufacturing: a review

(2017) Bo-hu Li et al.   Frontiers of Information Technology & Electronic Engineering

Analytical Modeling of Human Choice Complexity in a Mixed Model Assembly Line Using Machine Learning-Based Human in the Loop Simulation

(2017) Moise Busogi et al.   IEEE Access

Industrial Big Data in an Industry 4.0 Environment: Challenges, Schemes, and Applications for Predictive Maintenance

(2017) Jihong Yan et al.   IEEE Access

Data Mining and Analytics in the Process Industry: The Role of Machine Learning

(2017) Zhiqiang Ge et al.   IEEE Access

Industrial Big Data Analysis in Smart Factory: Current Status and Research Strategies

(2017) Xiaoya Xu et al.   IEEE Access

Big Data Analytics for Smart Manufacturing: Case Studies in Semiconductor Manufacturing

(2017) et al.   Processes

Industrial Process Monitoring in the Big Data/Industry 4.0 Era: from Detection, to Diagnosis, to Prognosis

(2017) Marco Reis et al.   Processes

A MapReduce-Based Ensemble Learning Method with Multiple Classifier Types and Diversity for Condition-Based Maintenance with Concept Drifts

(2017) Chun-Cheng Lin et al.   IEEE Cloud Computing

Intelligent Manufacturing in the Context of Industry 4.0: A Review

(2017) Ray Y. Zhong et al.   Engineering

Cyber-physical systems in manufacturing

(2016) L. Monostori et al.   CIRP ANNALS-MANUFACTURING TECHNOLOGY

Representational Learning for Fault Diagnosis of Wind Turbine Equipment: A Multi-Layered Extreme Learning Machines Approach

(2016) Zhi-Xin Yang et al.   Energies

Efficient Board-Level Functional Fault Diagnosis With Missing Syndromes

(2016) Shi Jin et al.   IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS

An Intelligent Fault Diagnosis Method Using Unsupervised Feature Learning Towards Mechanical Big Data

(2016) Yaguo Lei et al.   IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS

On Traffic-Aware Partition and Aggregation in MapReduce for Big Data Applications

(2016) Huan Ke et al.   IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS

Performance of Machine Learning Algorithms for Class-Imbalanced Process Fault Detection Problems

(2016) Taehyung Lee et al.   IEEE TRANSACTIONS ON SEMICONDUCTOR MANUFACTURING

Machine Learning for Predictive Maintenance: A Multiple Classifier Approach

(2015) Gian Antonio Susto et al.   IEEE Transactions on Industrial Informatics

Deep learning

(2015) Yann LeCun et al.   NATURE

Board-Level Functional Fault Diagnosis Using Artificial Neural Networks, Support-Vector Machines, and Weighted-Majority Voting

(2013) Fangming Ye et al.   IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS

A Predictive Maintenance System for Epitaxy Processes Based on Filtering and Prediction Techniques

(2012) Gian Antonio Susto et al.   IEEE TRANSACTIONS ON SEMICONDUCTOR MANUFACTURING

DDD: A New Ensemble Approach for Dealing with Concept Drift

(2011) Leandro L. Minku et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Natural computing for mechanical systems research: A tutorial overview

(2010) Keith Worden et al.   MECHANICAL SYSTEMS AND SIGNAL PROCESSING

Optimization method based extreme learning machine for classification

(2010) Guang-Bin Huang et al.   NEUROCOMPUTING