Predictive maintenance system for production lines in manufacturing: A machine learning approach using IoT data in real-time

S Ayvaz, K Alpay - Expert Systems with Applications, 2021 - Elsevier
In this study, a data driven predictive maintenance system was developed for production
lines in manufacturing. By utilizing the data generated from IoT sensors in real-time, the …

The experimental application of popular machine learning algorithms on predictive maintenance and the design of IIoT based condition monitoring system

M Cakir, MA Guvenc, S Mistikoglu - Computers & Industrial Engineering, 2021 - Elsevier
With the fourth industrial revolution, which has become increasingly widespread in the
manufacturing industry, traditional maintenance has been replaced by the industrial internet …

Selecting an appropriate supervised machine learning algorithm for predictive maintenance

A Ouadah, L Zemmouchi-Ghomari, N Salhi - The International Journal of …, 2022 - Springer
Predictive maintenance refers to predicting malfunctions using data from monitoring
equipment and process performance measurements. Machine learning algorithms and …

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

TP Carvalho, FA Soares, R Vita, RP Francisco… - Computers & Industrial …, 2019 - Elsevier
The amount of data extracted from production processes has increased exponentially due to
the proliferation of sensing technologies. When processed and analyzed, data can bring out …

Application of sensor data based predictive maintenance and artificial neural networks to enable Industry 4.0

JM Fordal, P Schjølberg, H Helgetun… - Advances in …, 2023 - Springer
Possessing an efficient production line relies heavily on the availability of the production
equipment. Thus, to ensure that the required function for critical equipment is in compliance …

Machine learning framework for predictive maintenance in milling

E Traini, G Bruno, G D'antonio, F Lombardi - IFAC-PapersOnLine, 2019 - Elsevier
Abstract In the Industry 4.0 era, artificial intelligence is transforming the manufacturing
industry. With the advent of Internet of Things (IoT) and machine learning methods …

Intelligent monitoring systems in manufacturing: current state and future perspectives

EC Ani, KA Olu-lawal, OK Olajiga, DJP Montero… - Engineering Science & …, 2024 - fepbl.com
Abstract Intelligent Monitoring Systems (IMS) have emerged as indispensable tools in
modern manufacturing, offering real-time insights into production processes, equipment …

Big data analytics for predictive maintenance strategies

CKM Lee, Y Cao, KH Ng - Supply Chain Management in the Big …, 2017 - igi-global.com
Maintenance aims to reduce and eliminate the number of failures occurred during
production as any breakdown of machine or equipment may lead to disruption for the supply …

A systematic mapping of the advancing use of machine learning techniques for predictive maintenance in the manufacturing sector

M Nacchia, F Fruggiero, A Lambiase, K Bruton - Applied Sciences, 2021 - mdpi.com
The increasing availability of data, gathered by sensors and intelligent machines, is
changing the way decisions are made in the manufacturing sector. In particular, based on …

Predictive maintenance of machine tool systems using artificial intelligence techniques applied to machine condition data

WJ Lee, H Wu, H Yun, H Kim, MBG Jun, JW Sutherland - Procedia Cirp, 2019 - Elsevier
Often, manufacturing equipment is utilized without a planned maintenance approach. Such
a strategy frequently results in unplanned downtime, owing to unexpected failures …