Machine learning framework for predictive maintenance in milling
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 …
industry. With the advent of Internet of Things (IoT) and machine learning methods …
Tool condition monitoring framework for predictive maintenance: a case study on milling process
E Traini, G Bruno, F Lombardi - International Journal of Production …, 2021 - Taylor & Francis
In metal cutting processes, tool condition monitoring has a great importance to prevent
surface damage and maintaining the quality of surface finishing. With the development of …
surface damage and maintaining the quality of surface finishing. With the development of …
Predictive maintenance of machine tool systems using artificial intelligence techniques applied to machine condition data
Often, manufacturing equipment is utilized without a planned maintenance approach. Such
a strategy frequently results in unplanned downtime, owing to unexpected failures …
a strategy frequently results in unplanned downtime, owing to unexpected failures …
Predicting tool wear size across multi-cutting conditions using advanced machine learning techniques
Y Shen, F Yang, MS Habibullah, J Ahmed… - Journal of Intelligent …, 2021 - Springer
The need to monitor tool wear is crucial, particularly in advanced manufacturing industries,
as it aims to maximise the lifespan of the cutting tool whilst guaranteeing the quality of …
as it aims to maximise the lifespan of the cutting tool whilst guaranteeing the quality of …
Applied machine tool data condition to predictive smart maintenance by using artificial intelligence
C Singh, MSS Rao, YM Mahaboobjohn… - International Conference …, 2022 - Springer
We describe how to integrate data-driven predictive maintenance (PdM) in machine
decision-making and data collection and processing. A brief overview of maintenance …
decision-making and data collection and processing. A brief overview of maintenance …
Tool wear monitoring of a retrofitted CNC milling machine using artificial neural networks
DF Hesser, B Markert - Manufacturing letters, 2019 - Elsevier
Predictive maintenance, in contrast to preventive maintenance, raises the manufacturing
quality and reliability, where the integrity is monitored continuously in service. To prevent …
quality and reliability, where the integrity is monitored continuously in service. To prevent …
From knowledge-based to big data analytic model: a novel IoT and machine learning based decision support system for predictive maintenance in Industry 4.0
Abstract The Internet of Things (IoT), Big Data and Machine Learning (ML) may represent
the foundations for implementing the concept of intelligent production, smart products …
the foundations for implementing the concept of intelligent production, smart products …
A hybrid machine learning approach for predictive maintenance in smart factories of the future
Advanced technologies based on Internet of Things (IOT) are blazing a trail to effective and
efficient management of an overall plant. In this context, manufacturing companies require …
efficient management of an overall plant. In this context, manufacturing companies require …
In-process tool condition forecasting based on a deep learning method
It is widely acknowledged that machining precision and surface integrity are greatly affected
by cutting tool conditions. In order to enable early cutting tool replacement and proactive …
by cutting tool conditions. In order to enable early cutting tool replacement and proactive …
A survey of machine-learning techniques for condition monitoring and predictive maintenance of bearings in grinding machines
It is important to minimize the unscheduled downtime of machines caused by outages of
machine components in highly automated production lines. Considering machine tools such …
machine components in highly automated production lines. Considering machine tools such …