Deep learning models for predictive maintenance: a survey, comparison, challenges and prospects
O Serradilla, E Zugasti, J Rodriguez, U Zurutuza - Applied Intelligence, 2022 - Springer
Given the growing amount of industrial data in the 4th industrial revolution, deep learning
solutions have become popular for predictive maintenance (PdM) tasks, which involve …
solutions have become popular for predictive maintenance (PdM) tasks, which involve …
A systematic mapping of the advancing use of machine learning techniques for predictive maintenance in the manufacturing sector
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 …
changing the way decisions are made in the manufacturing sector. In particular, based on …
End-to-end industrial IoT platform for Quality 4.0 applications
Predictive maintenance, quality management, and zero-defect manufacturing are among the
most prominent smart manufacturing use cases in the Industry4. 0 era. Nevertheless, the …
most prominent smart manufacturing use cases in the Industry4. 0 era. Nevertheless, the …
Machine learning for anomaly detection and process phase classification to improve safety and maintenance activities
E Quatrini, F Costantino, G Di Gravio… - Journal of Manufacturing …, 2020 - Elsevier
Anomaly detection is a crucial aspect for both safety and efficiency of modern process
industries. This paper proposes a two-steps methodology for anomaly detection in industrial …
industries. This paper proposes a two-steps methodology for anomaly detection in industrial …
Machine learning in production–potentials, challenges and exemplary applications
Recent trends like autonomous driving, natural language processing, service robotics or
Industry 4.0 are mainly based on the tremendous progress made in the field of machine …
Industry 4.0 are mainly based on the tremendous progress made in the field of machine …
An initial model for zero defect manufacturing
This paper investigates an initial model for Zero Defect Manufacturing (ZDM) using a cost
function where the operation and condition of a production process are reflected, and the …
function where the operation and condition of a production process are reflected, and the …
Towards intelligent and sustainable production systems with a zero-defect manufacturing approach in an Industry4. 0 context
The paper addresses intelligent and sustainable production achieved through combination
and integration of online predictive maintenance, monitoring of process parameters and …
and integration of online predictive maintenance, monitoring of process parameters and …
Predictive Maintenance Framework for Fault Detection in Remote Terminal Units
A Lekidis, A Georgakis, C Dalamagkas… - Forecasting, 2024 - mdpi.com
The scheduled maintenance of industrial equipment is usually performed with a low
frequency, as it usually leads to unpredicted downtime in business operations …
frequency, as it usually leads to unpredicted downtime in business operations …
Methods and tools of improving steel manufacturing processes: Current state and future methods
J Backman, V Kyllönen, H Helaakoski - IFAC-PapersOnLine, 2019 - Elsevier
The steel industry is continuously looking for new ways to improve resource efficiency and
sustainability due to high dependence on resources and increasing demand for more …
sustainability due to high dependence on resources and increasing demand for more …
Cumulative and Rolling Horizon Prediction of Overall Equipment Effectiveness (OEE) with Machine Learning
Nowadays, one of the important and indispensable conditions for the effectiveness and
competitiveness of industrial companies is the high efficiency of manufacturing and …
competitiveness of industrial companies is the high efficiency of manufacturing and …