eMaintenance
Essential Electronic Tools for Efficiency
Nonfiction, Computers, Advanced Computing, Programming, Expert Systems, Business & Finance, Management & Leadership, Management
| Author: | Diego Galar, Uday Kumar | ISBN: | 9780128111543 |
| Publisher: | Elsevier Science | Publication: | June 15, 2017 |
| Imprint: | Academic Press | Language: | English |
| Author: | Diego Galar, Uday Kumar |
| ISBN: | 9780128111543 |
| Publisher: | Elsevier Science |
| Publication: | June 15, 2017 |
| Imprint: | Academic Press |
| Language: | English |
eMaintenance: Essential Electronic Tools for Efficiency enables the reader to improve efficiency of operations, maintenance staff, infrastructure managers and system integrators, by accessing a real time computerized system from data to decision. In recent years, the exciting possibilities of eMaintenance have become increasingly recognized as a source of productivity improvement in industry. The seamless linking of systems and equipment to control centres for real time reconfiguring is improving efficiency, reliability, and sustainability in a variety of settings.
The book provides an introduction to collecting and processing data from machinery, explains the methods of overcoming the challenges of data collection and processing, and presents tools for data driven condition monitoring and decision making. This is a groundbreaking handbook for those interested in the possibilities of running a plant as a smart asset.
- Provides an introduction to collecting and processing data from machinery
- Explains how to use sensor-based tools to increase efficiency of diagnosis, prognosis, and decision-making in maintenance
- Describes methods for overcoming the challenges of data collection and processing
eMaintenance: Essential Electronic Tools for Efficiency enables the reader to improve efficiency of operations, maintenance staff, infrastructure managers and system integrators, by accessing a real time computerized system from data to decision. In recent years, the exciting possibilities of eMaintenance have become increasingly recognized as a source of productivity improvement in industry. The seamless linking of systems and equipment to control centres for real time reconfiguring is improving efficiency, reliability, and sustainability in a variety of settings.
The book provides an introduction to collecting and processing data from machinery, explains the methods of overcoming the challenges of data collection and processing, and presents tools for data driven condition monitoring and decision making. This is a groundbreaking handbook for those interested in the possibilities of running a plant as a smart asset.
- Provides an introduction to collecting and processing data from machinery
- Explains how to use sensor-based tools to increase efficiency of diagnosis, prognosis, and decision-making in maintenance
- Describes methods for overcoming the challenges of data collection and processing
