Abstract- Data mining is a concept that is taking off in the commercial sector as means of finding useful information and patterns out of gigabytes of data. In this project we are going to use various Data Mining techniques to carry out productive results i.e. predictions about performance of different departments in industry. This will be carried out by recognizing a pattern in the database with the help of data mining Algorithms. This will help in improving overall quality performance of industry. This will provide an application which can calculate overall equipment efficiency of industry. It will be possible to identify problems in manufacturing process and make suggestions for improvements. Resource monitoring focuses on maximizing the...
Summary. This article addresses the study related to forecasting with an actual high-speed decision ...
Prognostic Health Management (PHM) is a recent approach for the realization of Predictive Maintenanc...
The advent of Industry 4.0 provides new opportunities to improve the maintenance of production equip...
In the last years we have assisted to several and deep changes in industrial manufacturing. Induced ...
Publicado em : "Safety, reliability and risk analysis : beyond the horizon", ISBN 978-1-138-00123-7I...
In this work advanced data mining techniques are used to build models that predict machinery operati...
The paper discusses potential use of data mining techniques in mining. It reviews the basic techniqu...
Fleet maintenance and supply management systems are challenged to increase the availability and reli...
The current work presents a decision support system architecture for evaluating the features represe...
Fault diagnosis and prognosis in mechanical systems have been researched and developed in the last f...
The advent of Industry 4.0 provides new opportunities to improve the maintenance of production equip...
This paper is aimed to discuss current research using data mining techniques and industry statistics...
The paper presents initial research related to use of data mining for analysis of condition of an of...
Maintenance is an important part in any operational system, keeping equipment in good condition. Thi...
Data-driven prognostic for system health management represents an emerging and challenging applicati...
Summary. This article addresses the study related to forecasting with an actual high-speed decision ...
Prognostic Health Management (PHM) is a recent approach for the realization of Predictive Maintenanc...
The advent of Industry 4.0 provides new opportunities to improve the maintenance of production equip...
In the last years we have assisted to several and deep changes in industrial manufacturing. Induced ...
Publicado em : "Safety, reliability and risk analysis : beyond the horizon", ISBN 978-1-138-00123-7I...
In this work advanced data mining techniques are used to build models that predict machinery operati...
The paper discusses potential use of data mining techniques in mining. It reviews the basic techniqu...
Fleet maintenance and supply management systems are challenged to increase the availability and reli...
The current work presents a decision support system architecture for evaluating the features represe...
Fault diagnosis and prognosis in mechanical systems have been researched and developed in the last f...
The advent of Industry 4.0 provides new opportunities to improve the maintenance of production equip...
This paper is aimed to discuss current research using data mining techniques and industry statistics...
The paper presents initial research related to use of data mining for analysis of condition of an of...
Maintenance is an important part in any operational system, keeping equipment in good condition. Thi...
Data-driven prognostic for system health management represents an emerging and challenging applicati...
Summary. This article addresses the study related to forecasting with an actual high-speed decision ...
Prognostic Health Management (PHM) is a recent approach for the realization of Predictive Maintenanc...
The advent of Industry 4.0 provides new opportunities to improve the maintenance of production equip...