In this work advanced data mining techniques are used to build models that predict machinery operation to facilitate improvements in its performance and reduce unscheduled maintenance and repair costs. --Abstract, page iii
The global mining industry is currently facing a huge transition from manually operated individual v...
In order to explore the prediction of the operation vibration state of coal mine mechatronics equipm...
Situation awareness is a crucial capability of any autonomous system, including mining vehicles such...
The paper discusses potential use of data mining techniques in mining. It reviews the basic techniqu...
The paper presents initial research related to use of data mining for analysis of condition of an of...
Common applications of Condition-Based Maintenance utilize sensors mounted on mechanical components ...
This thesis discusses approaches to evaluate the health of mining machinery, based on monitored vibr...
Changing market dynamics make that mining companies need to increase their equipment utilization and...
Maintenance is an important part in any operational system, keeping equipment in good condition. Thi...
Mine to Mill optimization is considered as a key concept for metal mining recently. Targeting operat...
Publicado em : "Safety, reliability and risk analysis : beyond the horizon", ISBN 978-1-138-00123-7I...
Condition-based Maintenance (CBM) is a maintenance policy that take maintenance action just when nee...
Abstract- Data mining is a concept that is taking off in the commercial sector as means of finding u...
Predictive Maintenance (PdM) is an essential pillar for Industry 4.0. PdM enables users to know in a...
With the increasing enhancement of product accuracy and reducing machining costs in the recent years...
The global mining industry is currently facing a huge transition from manually operated individual v...
In order to explore the prediction of the operation vibration state of coal mine mechatronics equipm...
Situation awareness is a crucial capability of any autonomous system, including mining vehicles such...
The paper discusses potential use of data mining techniques in mining. It reviews the basic techniqu...
The paper presents initial research related to use of data mining for analysis of condition of an of...
Common applications of Condition-Based Maintenance utilize sensors mounted on mechanical components ...
This thesis discusses approaches to evaluate the health of mining machinery, based on monitored vibr...
Changing market dynamics make that mining companies need to increase their equipment utilization and...
Maintenance is an important part in any operational system, keeping equipment in good condition. Thi...
Mine to Mill optimization is considered as a key concept for metal mining recently. Targeting operat...
Publicado em : "Safety, reliability and risk analysis : beyond the horizon", ISBN 978-1-138-00123-7I...
Condition-based Maintenance (CBM) is a maintenance policy that take maintenance action just when nee...
Abstract- Data mining is a concept that is taking off in the commercial sector as means of finding u...
Predictive Maintenance (PdM) is an essential pillar for Industry 4.0. PdM enables users to know in a...
With the increasing enhancement of product accuracy and reducing machining costs in the recent years...
The global mining industry is currently facing a huge transition from manually operated individual v...
In order to explore the prediction of the operation vibration state of coal mine mechatronics equipm...
Situation awareness is a crucial capability of any autonomous system, including mining vehicles such...