117,95 €
117,95 €
inkl. MwSt.
Sofort per Download lieferbar
payback
59 °P sammeln
117,95 €
117,95 €
inkl. MwSt.
Sofort per Download lieferbar

Alle Infos zum eBook verschenken
payback
59 °P sammeln
Als Download kaufen
117,95 €
inkl. MwSt.
Sofort per Download lieferbar
payback
59 °P sammeln
Jetzt verschenken
117,95 €
inkl. MwSt.
Sofort per Download lieferbar

Alle Infos zum eBook verschenken
payback
59 °P sammeln
  • Format: ePub

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
…mehr

  • Geräte: eReader
  • mit Kopierschutz
  • eBook Hilfe
  • Größe: 110.54MB
Produktbeschreibung
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

Dieser Download kann aus rechtlichen Gründen nur mit Rechnungsadresse in A, B, BG, CY, CZ, D, DK, EW, E, FIN, F, GR, HR, H, IRL, I, LT, L, LR, M, NL, PL, P, R, S, SLO, SK ausgeliefert werden.

Autorenporträt
Diego Galar is Professor of Condition Monitoring in the Division of Operation and Maintenance Engineering at LTU, Luleå University of Technology where he is coordinating several H2020 projects related to different aspects of cyber physical systems, Industry 4.0, IoT or industrial Big Data. He was also involved in the SKF UTC centre located in Lulea focused on SMART bearings, and is actively involved in national projects within the Swedish industry. Dr. Galar is principal researcher at Tecnalia, in Spain, heading the Maintenance and Reliability research group. He has authored more than 300 journal and conference papers, books and technical reports in the field of maintenance, working as member of editorial boards, scientific committees and chairing international journals and conferences. In industry, he has been technological director and CBM manager of international companies, and actively participated in national and international committees for standardization and R&D in the topics of reliability and maintenance. In the international arena, he has been visiting Professor in the Polytechnic of Braganza (Portugal), University of Valencia and NIU (USA). Currently, he is visiting Professor at the University of Sunderland (UK) and University of Maryland (USA), as well as guest Professor at the Pontificia Universidad Católica de Chile.