Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Bücher
Zeitschriften
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
ATZ-Fachkongress

Chassis.tech plus 2024


4 Kongresse in einer Veranstaltung

Treffen Sie in München die Fachleute von Chassis, Lenkung, Bremsen sowie Reifen/Räder.
Erweiterte Suche
Anmelden
nach oben
Erschienen in:
Optimizing E-Maintenance Through Intelligent Data Processing Systems Kapitel lesen Erstes Kapitel lesen

2014 | OriginalPaper | Buchkapitel

39. Visualization Management of Industrial Maintenance Data Using Augmented Reality

verfasst von : D. B. Espíndola, C. E. Pereira, R. V. B. Henriques, S. S. Botelho

Erschienen in: Engineering Asset Management 2011

Verlag: Springer London

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

This paper proposes the use of the visualization techniques through Augmented Reality (AR) in order to manage maintenance data visualization. Using this method the AR visualization will insert the human in the predictive maintenance loop. It will facilitate the users understanding (in this case the maintenance operator) and visualization of the information from a predictive system and also represent a way to provide a safe interaction for the operator.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Jetzt informieren
Vorheriges Kapitel Surviving the Data Storm Using Rich Data Structures at Data Recording and Data Warehouse
Nächstes Kapitel Modeling of Age-Dependent Failure Tendency from Incomplete Data
Literatur
1.
Hassaine S, Dhambri K, Sahraoui H, Poulin P (2009) Generating visualization-based analysis scenarios from maintenance task descriptions. In: Proceedings of the 5th IEEE international workshop on visualizing software for understanding and analysis. pp 41–44
2.
Macchi M, Garetti M (2006) Benchmarking maintenance policies in complex production systems. Comput Ind: Spec Issue e-Maintenance 57(6):581–594CrossRef
3.
Muller A, Marquez A, Iung B (2007) On the concept of e-maintenance: Review and current research. Reliab Eng Syst Saf 93(8):1165–1187CrossRef
4.
Lee J, Liao L, Lapira E, Ni J, Li L (2009) Informatics platform for designing and deploying e- manufacturing systems. In: Wang L, Nee A, Yeh C (eds) Collaborative design and planning for digital manufacturing. Springer, Berling, pp 1–35CrossRef
5.
Liao L, Lee J (2009) A novel method for machine performance degradation assessment based on fixed cycle features test. J Sound Vib 356(3–5):894–908CrossRef
6.
Mathew (2006) Reducing maintenance cost through effective prediction analysis and process integration. Adv Vibr Eng 5(2):97–96
7.
Stutzman B, Nilsen D, Broderick T, Neubert J (2009) MARTI: Mobile augmented reality tool for industry. Proc World Congr Comput Sci Inf Eng 5:425–429
8.
Henderson S, Feiner S (2010) Opportunistic tangible user interfaces for augmented reality. Trans Visual Comput Graph 16(1):4–16CrossRef
9.
Peysson F, et al. (2007) New approach to prognostic systems failures. In: Proceedings of the 17th IFAC world congress
10.
You M, Li L, Meng G, Ni J (2010) Cost-effective updated sequential predictive maintenance policy for continuously monitored degrading systems. IEEE Trans Autom Sci Eng 7(2):257–265CrossRef
11.
Regenbrecht H, Baratoff G, Wilke W (2005) Augmented reality projects in the automotive and aerospace industries. IEEE Comput Graph Appl 25(6):48–56CrossRef
12.
Macchiarella M, Vincenzi D (2004) Augmented reality in a learning paradigm for flight and aerospace maintenance training. In: Proceedingas of the 23rd digital avionics systems conference. p 5.D.1–5.1–9
13.
Multanen P, Mäkiranta A, Nuutinen P, Leino SP, Helin K, Lind S (2009) Adaptation of virtual tools to support cost-effective maintenance of machines. In: Proceedings of the 22nd international congress condition monitoring and diagnostic engineering management. San Sebastian, Spain
14.
Stefánik A, Gregor M, Furmann R, Skorík P (2008) Virtual manufacturing in research and industry. In: proceedings of the 9th Ifac workshop on intelligent manufacturing systems. Szczecin, Poland
15.
Milgram P, Kishino F (1994) A taxonomy of mixed reality visual displays. IEICE Trans Inf Syst, E77–D(12)
16.
Lebold M, Thurston M (2001) Open standards for condition-based maintenance and prognostic system. In: Proceedings of MARCON 2001—Fifth annual maintenance and reliability conference. Gatlinburg, USA
17.
Violante P, Drake K, Latman S, Mandayam S (2008) Virtual environments, data fusion, and video in support of remote health management systems. In: Proceedings of the IEEE international workshop on haptic audio visual environment and their applications. pp 48–52
18.
Henderson S, Feiner S (2009) Evaluating the benefits of augmented reality for task localization in maintenance of an armored personnel carrier turret. In: Proceedings of the IEEE international symposium on mixed and augmented reality. pp 135–144
19.
Schoenfelder R, Schmalstieg D (2008) Augmented reality for industrial building acceptance. In: Proceedings of the IEEE virtual reality conference. pp 83–90
20.
Schwald B, Laval B (2003) An augmented reality system for training and assistance to maintenance in the industrial context. Proceedings of the 11th international conference in central europe on computer graphics, visualization and computer vision. pp 425–432
21.
Friedrich W, Jahn D, Schmidt L (2002) ARVIKA–Augmented reality for development, production and service. In: Proceedings of the international symposium on mixed and augmented reality. p 3–4
22.
Schwald B, Figue J, Chauvineau E et al (2001) STARMATE: Using augmented reality technology for computer guided maintenance of complex mechanical elements. E-work and ECommerce 1:196–202
23.
Foursa M, d’Angelo D, Narayanan R (2008) Innovative control system for industrial environment. In: Proceedings of the fourth international conference on autonomic and autonomous systems. pp 82–87
24.
Grimm P, Haller M, Paelke V, Reinhold S, Reimann C, Zauner J (2002) AMIRE–authoring mixed reality. Proceedings of the first IEEE international augmented reality toolkit workshop. Darmstadt, Germany
25.
Song J, Jia Q, Sun H, Gao X (2009) Study on the perception mechanism and method of virtual and real objects in augmented reality assembly environment. In: Proceedings of the 4th IEEE conference on industrial electronics and applications. pp 1452–1456
26.
Georgel P, Schroeder P, Navab N (2009) Navigation tools for augmented cad viewing. IEEE Comput Graphics Appl 29(6):65–73CrossRef
27.
Fumagalli L, Elefante D, Macchi M, Iung B (2008) Evaluating the role of maintenance maturity in adoption of new ict in the process industry. In: Proceedings of the 9th IFAC workshop on intelligent manufacturing systems. Szczecin, Poland
28.
Blum T, Heining S, Kutter O, Navab N (2009) Advanced training methods using an augmented reality ultrasound simulator. In: ISMAR ‘09 Proceedings of the 8th IEEE international symposium on mixed and augmented reality. pp 177–78
29.
Lee J, Ni J (2004) Infotronics-based intelligent maintenance system and its impacts to closed-loop product life cycle systems. In: proceedings of the international conference on intelligent maintenance systems. Arles, France
30.
Djurdjanovic D, Lee J, Ni J (2003) Watchdog Agent, an infotronics-based prognostics approach for product performance degradation assessment and prediction. Adv Eng Inform 17(3–4):109–125CrossRef
31.
Bin Lu, Durocher D, Stemper P (2009) Predictive maintenance techniques. IEEE Ind Appl Mag 15(6):52–60CrossRef
32.
Liao L, Wang H, Lee J (2008) Reconfigurable Watchdog Agent® for machine health prognostics. Int J COMADEM 11(3):2–15
Metadaten
Titel
Visualization Management of Industrial Maintenance Data Using Augmented Reality
verfasst von
D. B. Espíndola
C. E. Pereira
R. V. B. Henriques
S. S. Botelho
Copyright-Jahr
2014
Verlag
Springer London
Buch
Engineering Asset Management 2011

Print ISBN: 978-1-4471-4992-7

Electronic ISBN: 978-1-4471-4993-4

Copyright-Jahr: 2014

DOI
https://doi.org/10.1007/978-1-4471-4993-4_39

Premium Partner

    Marktübersichten

    Die im Laufe eines Jahres in der „adhäsion“ veröffentlichten Marktübersichten helfen Anwendern verschiedenster Branchen, sich einen gezielten Überblick über Lieferantenangebote zu verschaffen. 

    Zur Marktübersicht
    Bildnachweise