Machine learning and reasoning for predictive maintenance in Industry 4.0: Current status and challenges

Data-driven predictive maintenance planning framework for MEP components based on BIM and IoT using machine learning algorithms

(2020) Jack C.P. Cheng et al.   AUTOMATION IN CONSTRUCTION

Integration of Novel Sensors and Machine Learning for Predictive Maintenance in Medium Voltage Switchgear to Enable the Energy and Mobility Revolutions

(2020) Martin W. Hoffmann et al.   SENSORS

A comparison of fog and cloud computing cyber-physical interfaces for Industry 4.0 real-time embedded machine learning engineering applications

(2019) Peter O’Donovan et al.   COMPUTERS IN INDUSTRY

A Process to Implement an Artificial Neural Network and Association Rules Techniques to Improve Asset Performance and Energy Efficiency

(2019) Adolfo Crespo Márquez et al.   Energies

Improving devices communication in Industry 4.0 wireless networks

(2019) Rafael Kunst et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Machine learning-based design support system for the prediction of heterogeneous machine parameters in industry 4.0

(2019) Luca Romeo et al.   EXPERT SYSTEMS WITH APPLICATIONS

The framework design of smart factory in discrete manufacturing industry based on cyber-physical system

(2019) Gaige Chen et al.   INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING

The industrial internet of things (IIoT): An analysis framework

(2018) Hugh Boyes et al.   COMPUTERS IN INDUSTRY

Initiating predictive maintenance for a conveyor motor in a bottling plant using industry 4.0 concepts

(2018) Kahiomba Sonia Kiangala et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

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

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

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

Artificial Intelligence for Cloud-assisted Smart Factory

(2018) Jiafu Wan et al.   IEEE Access

OntoProg: An ontology-based model for implementing Prognostics Health Management in mechanical machines

(2018) David Lira Nuñez et al.   ADVANCED ENGINEERING INFORMATICS

A reference framework and overall planning of industrial artificial intelligence (I-AI) for new application scenarios

(2018) Xianyu Zhang et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Smart Maintenance Decision Support Systems (SMDSS) based on corporate big data analytics

(2017) Daniel Bumblauskas et al.   EXPERT SYSTEMS WITH APPLICATIONS

Data-driven prognostics using a combination of constrained K-means clustering, fuzzy modeling and LOF-based score

(2017) Alberto Diez-Olivan et al.   NEUROCOMPUTING

Intelligent predictive maintenance for fault diagnosis and prognosis in machine centers: Industry 4.0 scenario

(2017) Zhe Li et al.   Advances in Manufacturing

Cloud-enhanced predictive maintenance

(2016) Bernard Schmidt et al.   INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

Predictive maintenance, its implementation and latest trends

(2016) Sule Selcuk   PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART B-JOURNAL OF ENGINEERING MANUFACTURE

Cloud-enabled prognosis for manufacturing

(2015) R. Gao et al.   CIRP ANNALS-MANUFACTURING TECHNOLOGY

A formal representation for context-aware business processes

(2014) Talita da Cunha Mattos et al.   COMPUTERS IN INDUSTRY

Systematic literature reviews in software engineering – A tertiary study

(2010) Barbara Kitchenham et al.   INFORMATION AND SOFTWARE TECHNOLOGY