Add to ORKGThis thesis is to meet the needs of developing automation process on defective testing in thehard disk drives production process, focusing on machine learning and articial intelligence.The objective is to to predict the defectives and improve the accuracy rate by using the treebased algorithm and neural networks. The powerful models can help manufacturing processimproving time and labor efficiency
Abstract To realize autonomous production machines it is necessary that machines are able to automat...
At present, estimating the deliverables of products in the manufacturing industry mainly depends on ...
Objective: Maintenance was an important issue in almost all manufacturing companies. In order to kee...
The purpose of this study is to explore application of Machine Learning algorithm in the Predictive ...
In a competitive production environment, a manufacturing company must have plans to improve producti...
The thesis work is the result of a company internship at Extra Red and the project had the aim of de...
The advent of artificial intelligence and machine learning is influencing the manufacturing industry...
Manufacturing organizations need to use different kinds of techniques and tools in order to fulfill ...
Background: The gearbox and machinery faults prediction are expensive both in terms of repair and lo...
The increasing availability of data, gathered by sensors and intelligent machines, is chang-ing the ...
Machine failure halt many processes and causes minimum usage of unexploited resources. Prediction ...
Ball screws are frequently used as drive elements in the feed axes of machine tools. The failure of ...
n the field of industry 4.0, one of the sectors in which research is particularly active is the area...
Unplanned downtime in industries poses significant challenges, affecting production efficiency and p...
Awareness of machine errors in industrial manufacturing improves production efficiency and quality. ...
Abstract To realize autonomous production machines it is necessary that machines are able to automat...
At present, estimating the deliverables of products in the manufacturing industry mainly depends on ...
Objective: Maintenance was an important issue in almost all manufacturing companies. In order to kee...
The purpose of this study is to explore application of Machine Learning algorithm in the Predictive ...
In a competitive production environment, a manufacturing company must have plans to improve producti...
The thesis work is the result of a company internship at Extra Red and the project had the aim of de...
The advent of artificial intelligence and machine learning is influencing the manufacturing industry...
Manufacturing organizations need to use different kinds of techniques and tools in order to fulfill ...
Background: The gearbox and machinery faults prediction are expensive both in terms of repair and lo...
The increasing availability of data, gathered by sensors and intelligent machines, is chang-ing the ...
Machine failure halt many processes and causes minimum usage of unexploited resources. Prediction ...
Ball screws are frequently used as drive elements in the feed axes of machine tools. The failure of ...
n the field of industry 4.0, one of the sectors in which research is particularly active is the area...
Unplanned downtime in industries poses significant challenges, affecting production efficiency and p...
Awareness of machine errors in industrial manufacturing improves production efficiency and quality. ...
Abstract To realize autonomous production machines it is necessary that machines are able to automat...
At present, estimating the deliverables of products in the manufacturing industry mainly depends on ...
Objective: Maintenance was an important issue in almost all manufacturing companies. In order to kee...